This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Strategic Pricing Analyst

We’re looking for a Strategic Pricing Analyst for the LATAM region to join our Global Commercial Pricing & Monetization team. As a Strategic Pricing Analyst you will work closely with different teams (e.g. sales, account management, product management, and finance) to ensure we set the best possible prices that reflect our premium offering. The ideal candidate is someone who is able to approach complex problems in a structured manner and convert them into action.

You will be part of our Global Commercial Pricing & Monetization team (as part of the Finance department) which develops value-based pricing and monetization strategies for Adyen’s product offering and provides price guidance to the commercial organization. In addition, we enable the commercial teams to create the best commercial pricing proposals by providing them with means such as tools, insights and training. Finally, we monitor price developments and identify opportunities for improvement.

What you will do:

• Develop and implement pricing strategies for local (LATAM) markets, products and payment methods.
• Develop and implement monetization strategies for new local products.
• Partner with regional leadership to develop and translate pricing insights into actions and decisions.
• Partner with key regional stakeholders to understand business needs and challenges, and convert these into new pricing initiatives.
• Drive adoption of global pricing tools and solutions within the region, while channeling regional feedback to inform future global developments.
• Provide deal pricing support on the region’s most strategic and high-value deals.
• Act as the regional pricing expert and serve as the first point of contact for regional pricing questions.
• Together with other regional experts, you will collaborate on cross functional initiatives that are important to LATAM.

Who you are:

• You have relevant experience in (B2B) pricing, preferably in a strategic, consultancy or other analytical role.
• You have a strong quantitative and detail-oriented background with excellent analytical and modeling skills. Proficiency in tools such as SQL and Looker is a plus.
• You convert data insights into actions and tangible output such as optimized pricing strategies, processes, tools, or trainings.
• You have an entrepreneurial mindset and the ability to work in a high pace environment where you need to continuously prioritize your work.
• You are an effective communicator and can build your own network in a global company.
• You have proven experience delivering projects end-to-end, from concept through implementation.
• Fluent English is a must. Speaking Spanish is a plus. You will work alongside global peers and need to have the ability to operate comfortably within a global and multicultural environment.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based in our São Paulo office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles. 

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Business Analyst - Pricing

As a Business Analyst - Pricing in the Global Payments Pricing team, you'll be central to Adyen's financial performance in global card payments. You'll be our product team's expert on interchange and scheme fee charges for cards in LATAM, ensuring the accuracy of fee passthrough to customers. You'll build insights to foster a comprehensive understanding of the complex fee network, supporting Adyen's commitment to fee transparency. By analysing large datasets on Adyen's big data platform, you'll uncover new financial optimisation opportunities. Our Global Cards team works closely with global teams, including Product, Finance, and Partnerships.

What you'll do:

• Ensure merchants are charged the most optimal and accurate cost price for transactions.
• Analyse: Identify the necessary data to address questions, extract the required data, and perform analysis.
• Optimise: Build and refine technical pricing rule-based models, devising methods to detect anomalies and monitor them.
• Improve: Suggest and develop processing improvements for core payment processes leveraging AI.
• Configuration: Implement fee change rollouts to maintain our cost infrastructure and manage the merchant experience.

Who you are:

• You have relevant experience in analysing data and automating complex data handling using SQL or Python;
• Academically trained, preferably in a quantitative or technical field such as Econometrics, Statistics, or Engineering;
• Detail-oriented, aiming to deliver high-quality work;
• Possess technical aptitude to address problems with data;
• Skilled in data visualisation tools such as Looker and Tableau;
• Excellent at analysing and communicating complex data or technical functionality with commercial teams and Adyen's merchants;
• Comfortable in a fast-paced environment requiring excellent time management and the ability to multitask and prioritise effectively;
• Full professional proficiency in English.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This role is based in our São Paulo office. We are an office-first company and value in-person collaboration; we do not offer remote-only roles. 

A WPP Media é o coletivo global de mídia da WPP. Em um mundo onde a mídia está em todo lugar e em tudo, reunimos as melhores plataformas, pessoas e parceiros para criar oportunidades ilimitadas de crescimento. Para mais informações, visite wppmedia.com.

Na WPP Media, acreditamos no poder da nossa cultura e das nossas pessoas. É isso que nos eleva a entregar experiências excepcionais tanto para nossos clientes quanto uns para os outros.

Descubra a EssenceMediacom: Uma agência focada em mídia inovadora que combina o melhor da ciência de dados, tecnologia e criatividade para impulsionar o crescimento de marcas líderes globais. Com uma abordagem centrada no ser humano e um compromisso com a excelência, a EssenceMediacom está redefinindo o futuro da mídia.

Descrição da Vaga 

Estamos em busca de uma Pessoa Analista de BI & Media Analytics Pleno para dar suporte à operação de Data & Tech da conta LATAM por meio da coleta, consolidação, validação e organização de dados, atualização de dashboards e preparação de análises e relatórios de performance.

Responsabilidades e Atribuições: 

• Extrair, consolidar e organizar dados de plataformas de mídia, analytics e commerce.
• Atualizar dashboards e bases de acompanhamento recorrentes.
• Realizar checagens de qualidade, consistência e completude dos dados.
• Apoiar a revisão de:
• UTMs
• taxonomy
• naming conventions
• parâmetros de tracking
• Preparar tabelas, gráficos e insumos para apresentações e relatórios.
• Apoiar o monitoramento de performance e identificação de desvios.
• Documentar processos, bases e rotinas operacionais.
• Dar suporte a demandas dos mercados LATAM e times internos da conta.
• Apoiar entregas específicas de reporting para key shopping moments e campanhas prioritárias.

Requisitos e qualificações

• Experiência inicial em BI, mídia digital, dados, analytics ou performance.
• Excel avançado/intermediário forte.
• Conhecimento em PowerPoint.
• Familiaridade com plataformas como GA4, Meta Ads, Google Ads, CM360, DV360 ou similares.
• Perfil analítico, organizado e atento a detalhe.
• Inglês intermediário a avançado.

Diferenciais

• Espanhol
• Experiência com Looker Studio, Power BI, Tableau ou SQL.
• Vivência com dados de e-commerce, retail media ou affiliate.
• Espanhol desejável.

Aqui, acreditamos no poder das diferenças. Nosso compromisso com a diversidade está no jeito como enxergamos o mundo, nas relações que cultivamos e nas histórias que queremos construir juntos. Valorizamos perspectivas diversas porque elas enriquecem nosso trabalho, nos desafiam a evoluir e nos tornam mais criativos, humanos e justos. Todas as pessoas são bem-vindas no nosso processo seletivo, independentemente de raça, identidade de gênero, orientação sexual, deficiência, origem ou crença.

A WPP Media é o coletivo global de mídia da WPP. Em um mundo onde a mídia está em todo lugar e em tudo, reunimos as melhores plataformas, pessoas e parceiros para criar oportunidades ilimitadas de crescimento. Para mais informações, visite wppmedia.com.

Na WPP Media, acreditamos no poder da nossa cultura e das nossas pessoas. É isso que nos eleva a entregar experiências excepcionais tanto para nossos clientes quanto uns para os outros.

Descubra a EssenceMediacom: Uma agência focada em mídia inovadora que combina o melhor da ciência de dados, tecnologia e criatividade para impulsionar o crescimento de marcas líderes globais. Com uma abordagem centrada no ser humano e um compromisso com a excelência, a EssenceMediacom está redefinindo o futuro da mídia.

Descrição da Vaga 

Estamos em busca de uma Pessoa Supervisora de BI & Media Analytics para liderar e garantir a operação diária de Data & Tech da conta LATAM, coordenando dashboards, reporting, validação de dados, QA e rotinas de governança, assegurando consistência entre mercados, canais e entregas.

Responsabilidades e Atribuições: 

• Coordenar a rotina operacional de reporting e dashboards da conta.
• Consolidar dados de diferentes plataformas e mercados da região.
• Garantir qualidade das informações por meio de:
• validação de dados
• checks de consistência
• revisão de naming conventions
• auditoria de parâmetros e taxonomia
• Monitorar anomalias de performance e sinalizar desvios ao Gerente e aos times responsáveis.
• Produzir e revisar:
• reports recorrentes
• apresentações executivas
• análises táticas e pós-campanha
• Apoiar a construção e manutenção de dashboards regionais.
• Coordenar com times de mídia, activation e mercados locais a captura correta de dados e a correta leitura de KPIs.
• Apoiar o acompanhamento de frentes específicas como:
• Amazon DSP Brazil
• affiliate Brasil
• retail media / e-commerce
• Organizar backlog, prazos, prioridades e demandas ad hoc da operação.
• Supervisionar o trabalho do Analista, revisando entregas e garantindo consistência técnica e visual.
• Documentar processos, templates, taxonomias e fluxos de trabalho.

Requisitos e qualificações

• Experiência em analytics, BI, mídia digital, ad operations ou martech.
• Conhecimento de plataformas de mídia e reporting.
• Experiência com ferramentas de dashboard como Looker Studio e Power BI.
• Excel avançado e PowerPoint avançado.
• Boa capacidade analítica e de organização.
• Inglês avançado.
• Espanhol desejável.

Diferenciais

• Espanhol
• Experiência com campanhas regionais.
• Conhecimento em Amazon Ads, affiliate, retail media e commerce analytics.
• Experiência com SQL ou manipulação de bases.
• Vivência com QA de mídia e governança de taxonomy.

Aqui, acreditamos no poder das diferenças. Nosso compromisso com a diversidade está no jeito como enxergamos o mundo, nas relações que cultivamos e nas histórias que queremos construir juntos. Valorizamos perspectivas diversas porque elas enriquecem nosso trabalho, nos desafiam a evoluir e nos tornam mais criativos, humanos e justos. Todas as pessoas são bem-vindas no nosso processo seletivo, independentemente de raça, identidade de gênero, orientação sexual, deficiência, origem ou crença.

About the opportunity 

At Teads, we believe marketing should be measurable, scalable, and built to drive real business impact. We’re a global team pushing the boundaries of digital advertising, combining creativity, technology, and data to shape the future of media.

We’re looking for a Senior Marketing Manager, Operations & Data Analytics (Maternity Leave Coverage for 9 months) to lead and evolve our global measurement ecosystem while ensuring our operations infrastructure runs smoothly and efficiently.

What will you do?

Reporting to the Global Head of Marketing Strategy & Operations, you will own the evolution of Teads’ global marketing measurement framework while maintaining and enhancing the operational backbone that enables it.

You’ll play a critical role in connecting activities to business outcomes, translating performance across brand, demand generation, product, ABM, and customer initiatives into a unified view of contribution to revenue and growth.

This role is ideal for someone who can both run complex operations and elevate measurement capabilities, making insights faster, clearer, and more actionable across the organization.

Marketing Measurement & Analytics

• Support the evolution of Teads’ global marketing measurement framework, connecting top-of-funnel activity to pipeline, revenue, and customer value - and partnering with tech teams’ to align and implement the infrastructure to make it possible
• SQL proficiency with hands-on experience querying and modeling data via dashboards on Looker Studio Pro / Looker. 
• Explore ways to fetch data into BigQuery, map requirements and partners (e.g: Rivery, Funnel IO, Coupler, Extract)  and guide discovery phase along with Data and Security
• Standardize KPIs’ definitions and create a shared measurement language across global marketingStandardize KPI definitions and drive alignment on a shared measurement language across the organization
• Improve attribution models and performance methodologies to better capture the impact of multi-touch, multi-channel programs

Reporting & Data Infrastructure

• Design, build and optimize scalable reporting systems and dashboards that serve as trusted sources of truth for marketing and GTM process
• Translate complex datasets into clear, decision-ready insights that influence investment, prioritization, and strategy
• Partner with Data, RevOps, and BI teams to strengthen data pipelines, tracking, and integration between marketing platforms and CRM
• Champion a culture of data-driven decision making across the marketing organization

Marketing Operations & Enablement

• Ensure the marketing operations ecosystem runs efficiently, enabling prioritization and continuity of marketing campaigns and projects
• Improve processes that accelerate reporting cycles and reduce friction, duplication and enable visibility on marketing activities across teams
• Identify operational gaps and implement scalable solutions that increase speed, accuracy, and visibility

What will you bring to the team?

• 5+ years of experience in marketing analytics, data analysis, marketing operations or a related field
• Strong expertise in BI tools (e.g., Looker) and working knowledge of SQL or advanced data environments. 
• Experience with marketing tech stacks, including CRMs (Salesforce, Hubspot), automation platforms, and work management tools like Monday.com
• Deep understanding of attribution, data integrity, governance, and ROI measurement
• Proven ability to improve tracking frameworks, reporting reliability, and turn insights into action
• Strong cross-functional collaborator, able to align global teams around shared metrics
• Highly autonomous, proactive, and comfortable operating with ambiguity in a fast-paced environment
• Previous experience as data analyst, data-driven, set up KPIs
• Experience in ad tech, media, or digital marketing is a strong plus
• Fluent English mandatory
• You connect with our values:
  • Relentless Customer Focus: You put customers at the heart of everything, building strong relationships, understanding customers needs, and making decisions that keep their perspective front and center.
  • Act Today, Not Tomorrow: You make smart decisions quickly, prioritize action over perfection, and keep things moving forward, even when things aren’t 100% clear.
  • Obsess About Outcomes: You’re outcome-driven, take ownership of your results, and work through challenges to deliver what really matters.
  • Evolve Through Change: You’re adaptable, curious, and see change as a chance to learn and improve. You evolve your skills to keep up and push ahead.
  • Human-driven, Powered by AI: While we use AI to drive performance, it’s our people who make the real difference. You bring empathy, collaboration, and a love of learning to everything you do.

Please submit your CV in English.

About the opportunity 

At Teads, we believe marketing should be measurable, scalable, and built to drive real business impact. We’re a global team pushing the boundaries of digital advertising, combining creativity, technology, and data to shape the future of media.

We’re looking for a Senior Marketing Manager, Operations & Data Analytics (Maternity Leave Coverage for 9 months) to lead and evolve our global measurement ecosystem while ensuring our operations infrastructure runs smoothly and efficiently.

What will you do?

Reporting to the Global Head of Marketing Strategy & Operations, you will own the evolution of Teads’ global marketing measurement framework while maintaining and enhancing the operational backbone that enables it.

You’ll play a critical role in connecting activities to business outcomes, translating performance across brand, demand generation, product, ABM, and customer initiatives into a unified view of contribution to revenue and growth.

This role is ideal for someone who can both run complex operations and elevate measurement capabilities, making insights faster, clearer, and more actionable across the organization.

Marketing Measurement & Analytics

• Support the evolution of Teads’ global marketing measurement framework, connecting top-of-funnel activity to pipeline, revenue, and customer value - and partnering with tech teams’ to align and implement the infrastructure to make it possible
• SQL proficiency with hands-on experience querying and modeling data via dashboards on Looker Studio Pro / Looker. 
• Explore ways to fetch data into BigQuery, map requirements and partners (e.g: Rivery, Funnel IO, Coupler, Extract)  and guide discovery phase along with Data and Security
• Standardize KPIs’ definitions and create a shared measurement language across global marketingStandardize KPI definitions and drive alignment on a shared measurement language across the organization
• Improve attribution models and performance methodologies to better capture the impact of multi-touch, multi-channel programs

Reporting & Data Infrastructure

• Design, build and optimize scalable reporting systems and dashboards that serve as trusted sources of truth for marketing and GTM process
• Translate complex datasets into clear, decision-ready insights that influence investment, prioritization, and strategy
• Partner with Data, RevOps, and BI teams to strengthen data pipelines, tracking, and integration between marketing platforms and CRM
• Champion a culture of data-driven decision making across the marketing organization

Marketing Operations & Enablement

• Ensure the marketing operations ecosystem runs efficiently, enabling prioritization and continuity of marketing campaigns and projects
• Improve processes that accelerate reporting cycles and reduce friction, duplication and enable visibility on marketing activities across teams
• Identify operational gaps and implement scalable solutions that increase speed, accuracy, and visibility

What will you bring to the team?

• 5+ years of experience in marketing analytics, data analysis, marketing operations or a related field
• Strong expertise in BI tools (e.g., Looker) and working knowledge of SQL or advanced data environments. 
• Experience with marketing tech stacks, including CRMs (Salesforce, Hubspot), automation platforms, and work management tools like Monday.com
• Deep understanding of attribution, data integrity, governance, and ROI measurement
• Proven ability to improve tracking frameworks, reporting reliability, and turn insights into action
• Strong cross-functional collaborator, able to align global teams around shared metrics
• Highly autonomous, proactive, and comfortable operating with ambiguity in a fast-paced environment
• Previous experience as data analyst, data-driven, set up KPIs
• Experience in ad tech, media, or digital marketing is a strong plus
• Fluent English mandatory
• You connect with our values:
  • Relentless Customer Focus: You put customers at the heart of everything, building strong relationships, understanding customers needs, and making decisions that keep their perspective front and center.
  • Act Today, Not Tomorrow: You make smart decisions quickly, prioritize action over perfection, and keep things moving forward, even when things aren’t 100% clear.
  • Obsess About Outcomes: You’re outcome-driven, take ownership of your results, and work through challenges to deliver what really matters.
  • Evolve Through Change: You’re adaptable, curious, and see change as a chance to learn and improve. You evolve your skills to keep up and push ahead.
  • Human-driven, Powered by AI: While we use AI to drive performance, it’s our people who make the real difference. You bring empathy, collaboration, and a love of learning to everything you do.

Please submit your CV in English.

About the opportunity 

At Teads, we believe marketing should be measurable, scalable, and built to drive real business impact. We’re a global team pushing the boundaries of digital advertising, combining creativity, technology, and data to shape the future of media.

We’re looking for a Senior Marketing Manager, Operations & Data Analytics (Maternity Leave Coverage for 9 months) to lead and evolve our global measurement ecosystem while ensuring our operations infrastructure runs smoothly and efficiently.

What will you do?

Reporting to the Global Head of Marketing Strategy & Operations, you will own the evolution of Teads’ global marketing measurement framework while maintaining and enhancing the operational backbone that enables it.

You’ll play a critical role in connecting activities to business outcomes, translating performance across brand, demand generation, product, ABM, and customer initiatives into a unified view of contribution to revenue and growth.

This role is ideal for someone who can both run complex operations and elevate measurement capabilities, making insights faster, clearer, and more actionable across the organization.

Marketing Measurement & Analytics

• Support the evolution of Teads’ global marketing measurement framework, connecting top-of-funnel activity to pipeline, revenue, and customer value - and partnering with tech teams’ to align and implement the infrastructure to make it possible
• SQL proficiency with hands-on experience querying and modeling data via dashboards on Looker Studio Pro / Looker. 
• Explore ways to fetch data into BigQuery, map requirements and partners (e.g: Rivery, Funnel IO, Coupler, Extract)  and guide discovery phase along with Data and Security
• Standardize KPIs’ definitions and create a shared measurement language across global marketingStandardize KPI definitions and drive alignment on a shared measurement language across the organization
• Improve attribution models and performance methodologies to better capture the impact of multi-touch, multi-channel programs

Reporting & Data Infrastructure

• Design, build and optimize scalable reporting systems and dashboards that serve as trusted sources of truth for marketing and GTM process
• Translate complex datasets into clear, decision-ready insights that influence investment, prioritization, and strategy
• Partner with Data, RevOps, and BI teams to strengthen data pipelines, tracking, and integration between marketing platforms and CRM
• Champion a culture of data-driven decision making across the marketing organization

Marketing Operations & Enablement

• Ensure the marketing operations ecosystem runs efficiently, enabling prioritization and continuity of marketing campaigns and projects
• Improve processes that accelerate reporting cycles and reduce friction, duplication and enable visibility on marketing activities across teams
• Identify operational gaps and implement scalable solutions that increase speed, accuracy, and visibility

What will you bring to the team?

• 5+ years of experience in marketing analytics, data analysis, marketing operations or a related field
• Strong expertise in BI tools (e.g., Looker) and working knowledge of SQL or advanced data environments. 
• Experience with marketing tech stacks, including CRMs (Salesforce, Hubspot), automation platforms, and work management tools like Monday.com
• Deep understanding of attribution, data integrity, governance, and ROI measurement
• Proven ability to improve tracking frameworks, reporting reliability, and turn insights into action
• Strong cross-functional collaborator, able to align global teams around shared metrics
• Highly autonomous, proactive, and comfortable operating with ambiguity in a fast-paced environment
• Previous experience as data analyst, data-driven, set up KPIs
• Experience in ad tech, media, or digital marketing is a strong plus
• Fluent English mandatory
• You connect with our values:
  • Relentless Customer Focus: You put customers at the heart of everything, building strong relationships, understanding customers needs, and making decisions that keep their perspective front and center.
  • Act Today, Not Tomorrow: You make smart decisions quickly, prioritize action over perfection, and keep things moving forward, even when things aren’t 100% clear.
  • Obsess About Outcomes: You’re outcome-driven, take ownership of your results, and work through challenges to deliver what really matters.
  • Evolve Through Change: You’re adaptable, curious, and see change as a chance to learn and improve. You evolve your skills to keep up and push ahead.
  • Human-driven, Powered by AI: While we use AI to drive performance, it’s our people who make the real difference. You bring empathy, collaboration, and a love of learning to everything you do.

Please submit your CV in English.

About the opportunity 

At Teads, we believe marketing should be measurable, scalable, and built to drive real business impact. We’re a global team pushing the boundaries of digital advertising, combining creativity, technology, and data to shape the future of media.

We’re looking for a Senior Marketing Manager, Operations & Data Analytics (Maternity Leave Coverage for 9 months) to lead and evolve our global measurement ecosystem while ensuring our operations infrastructure runs smoothly and efficiently.

What will you do?

Reporting to the Global Head of Marketing Strategy & Operations, you will own the evolution of Teads’ global marketing measurement framework while maintaining and enhancing the operational backbone that enables it.

You’ll play a critical role in connecting activities to business outcomes, translating performance across brand, demand generation, product, ABM, and customer initiatives into a unified view of contribution to revenue and growth.

This role is ideal for someone who can both run complex operations and elevate measurement capabilities, making insights faster, clearer, and more actionable across the organization.

Marketing Measurement & Analytics

• Support the evolution of Teads’ global marketing measurement framework, connecting top-of-funnel activity to pipeline, revenue, and customer value - and partnering with tech teams’ to align and implement the infrastructure to make it possible
• SQL proficiency with hands-on experience querying and modeling data via dashboards on Looker Studio Pro / Looker. 
• Explore ways to fetch data into BigQuery, map requirements and partners (e.g: Rivery, Funnel IO, Coupler, Extract)  and guide discovery phase along with Data and Security
• Standardize KPIs’ definitions and create a shared measurement language across global marketingStandardize KPI definitions and drive alignment on a shared measurement language across the organization
• Improve attribution models and performance methodologies to better capture the impact of multi-touch, multi-channel programs

Reporting & Data Infrastructure

• Design, build and optimize scalable reporting systems and dashboards that serve as trusted sources of truth for marketing and GTM process
• Translate complex datasets into clear, decision-ready insights that influence investment, prioritization, and strategy
• Partner with Data, RevOps, and BI teams to strengthen data pipelines, tracking, and integration between marketing platforms and CRM
• Champion a culture of data-driven decision making across the marketing organization

Marketing Operations & Enablement

• Ensure the marketing operations ecosystem runs efficiently, enabling prioritization and continuity of marketing campaigns and projects
• Improve processes that accelerate reporting cycles and reduce friction, duplication and enable visibility on marketing activities across teams
• Identify operational gaps and implement scalable solutions that increase speed, accuracy, and visibility

What will you bring to the team?

• 5+ years of experience in marketing analytics, data analysis, marketing operations or a related field
• Strong expertise in BI tools (e.g., Looker) and working knowledge of SQL or advanced data environments. 
• Experience with marketing tech stacks, including CRMs (Salesforce, Hubspot), automation platforms, and work management tools like Monday.com
• Deep understanding of attribution, data integrity, governance, and ROI measurement
• Proven ability to improve tracking frameworks, reporting reliability, and turn insights into action
• Strong cross-functional collaborator, able to align global teams around shared metrics
• Highly autonomous, proactive, and comfortable operating with ambiguity in a fast-paced environment
• Previous experience as data analyst, data-driven, set up KPIs
• Experience in ad tech, media, or digital marketing is a strong plus
• Fluent English mandatory
• You connect with our values:
  • Relentless Customer Focus: You put customers at the heart of everything, building strong relationships, understanding customers needs, and making decisions that keep their perspective front and center.
  • Act Today, Not Tomorrow: You make smart decisions quickly, prioritize action over perfection, and keep things moving forward, even when things aren’t 100% clear.
  • Obsess About Outcomes: You’re outcome-driven, take ownership of your results, and work through challenges to deliver what really matters.
  • Evolve Through Change: You’re adaptable, curious, and see change as a chance to learn and improve. You evolve your skills to keep up and push ahead.
  • Human-driven, Powered by AI: While we use AI to drive performance, it’s our people who make the real difference. You bring empathy, collaboration, and a love of learning to everything you do.

Please submit your CV in English.

About the opportunity 

At Teads, we believe operations should be measurable, scalable, and built to drive real business impact. We’re a global team pushing the boundaries of digital advertising, combining creativity, technology, and data to shape the future of media.

We’re looking for a Senior Operations & Data Analytics Manager (Maternity Leave Coverage for 9 months) to lead and evolve our global measurement ecosystem while ensuring our operations infrastructure runs smoothly and efficiently.

What will you do?

You will own the evolution of Teads’ global measurement framework while maintaining and enhancing the operational backbone that enables it.

You’ll play a critical role in connecting activities to business outcomes, translating performance across brand, demand generation, product, ABM, and customer initiatives into a unified view of contribution to revenue and growth.

This role is ideal for someone who can both run complex operations and elevate measurement capabilities, making insights faster, clearer, and more actionable across the organization.

Measurement & Analytics

• Support the evolution of Teads’ global measurement framework, connecting top-of-funnel activity to pipeline, revenue, and customer value - and partnering with tech teams’ to align and implement the infrastructure to make it possible
• SQL proficiency with hands-on experience querying and modeling data via dashboards on Looker Studio Pro / Looker. 
• Explore ways to fetch data into BigQuery, map requirements and partners (e.g: Rivery, Funnel IO, Coupler, Extract)  and guide discovery phase along with Data and Security
• Standardize KPI definitions and drive alignment on a shared measurement language across the organization
• Improve attribution models and performance methodologies to better capture the impact of multi-touch, multi-channel programs

Reporting & Data Infrastructure

• Design, build and optimize scalable reporting systems and dashboards that serve as trusted sources of truth for teams and GTM process
• Translate complex datasets into clear, decision-ready insights that influence investment, prioritization, and strategy
• Partner with Marketing, Data, RevOps, and BI teams to strengthen data pipelines, tracking, and integration between marketing platforms and CRM
• Champion a culture of data-driven decision making across the team

Operations & Enablement

• Ensure the operations ecosystem runs efficiently, enabling prioritization and continuity of campaigns and projects
• Improve processes that accelerate reporting cycles and reduce friction, duplication and enable visibility on team activities 
• Identify operational gaps and implement scalable solutions that increase speed, accuracy, and visibility

What will you bring to the team?

• 5+ years of experience in data analysis, operations or a related field
• Strong expertise in BI tools (e.g., Looker) and working knowledge of SQL or advanced data environments. 
• Experience with tech stacks, including CRMs (Salesforce, Hubspot), automation platforms, and work management tools like Monday.com
• Deep understanding of attribution, data integrity, governance, and ROI measurement
• Proven ability to improve tracking frameworks, reporting reliability, and turn insights into action
• Strong cross-functional collaborator, able to align global teams around shared metrics
• Highly autonomous, proactive, and comfortable operating with ambiguity in a fast-paced environment
• Previous experience as data analyst, data-driven, set up KPIs
• Experience in ad tech, media, or digital marketing is a strong plus
• Fluent English mandatory
• You connect with our values:
  • Relentless Customer Focus: You put customers at the heart of everything, building strong relationships, understanding customers needs, and making decisions that keep their perspective front and center.
  • Act Today, Not Tomorrow: You make smart decisions quickly, prioritize action over perfection, and keep things moving forward, even when things aren’t 100% clear.
  • Obsess About Outcomes: You’re outcome-driven, take ownership of your results, and work through challenges to deliver what really matters.
  • Evolve Through Change: You’re adaptable, curious, and see change as a chance to learn and improve. You evolve your skills to keep up and push ahead.
  • Human-driven, Powered by AI: While we use AI to drive performance, it’s our people who make the real difference. You bring empathy, collaboration, and a love of learning to everything you do.

We care about you

• Hybrid working model (3 days per week in the office).
• Expand your toolbox with our mentorship program and internal learning tools.
• Pet friendly office.
• Happy hours & Free lunch twice a week that is cooked by a renowned chef.
• …and of course a fully stocked kitchen!

Please submit your CV in English.

About you

We are looking for someone who is a whizz with Python, has experience with microservices, and is happy to get stuck into a gritty, fast-paced environment to work within our awesome Python team, championing and leading the build of secure, robust, and high-performance systems. 

The Opportunity

Our Python team builds highly available, low-latency microservices from scratch using the latest bleeding-edge technologies.

You will own and develop multiple services across our revenue domain billing, tax calculation, customer commitment management, and AI-powered revenue operations agents. You'll have the opportunity to make a huge impact on our growing company by solving complex problems as we scale. You'll be part of a group of people working together to build solutions to mission-critical problems and a company that values the very best ideas. People rely on our products to communicate daily, which means they rely on us to build things with a high degree of resiliency and reliability.

• Design developer/agent-friendly APIs.
• Build, test, and deploy applications to deliver critical global communications services.
• Identify and resolve issues related to latency, scalability, and performance.
• Create tools and AI agents to automate revenue operations.
• Investigate and resolve production issues by tracing through logs, data, and code to find root causes.
  
  

Who we're looking for

• 5+ years of professional software development experience with an object-oriented programming language
• Experience with web application development using Python (FastAPI, aiohttp, or similar).
• Experience designing and building RESTful APIs.
• Experience working with asynchronous programming
• Comfort working with PostgreSQL and relational databases at scale, including schema migrations, raw SQL queries and query optimization.
• Experience with event-driven architectures and message brokers (RabbitMQ, Kafka or similar).
• Experience in a highly available, uptime-critical production environment.
• Deep knowledge of microservice architecture patterns and anti-patterns
• Familiarity with Docker, Kubernetes, Consul, GitHub Actions, Argo CD, Prometheus, or OpenTelemetry.
• Strong troubleshooting skills — you can dig through logs, query databases, trace distributed systems, and read unfamiliar code to get to the bottom of an issue.
• Comfortable owning services in production, including on-call responsibilities and incident resolution.
• Comfortable using AI coding agents as part of your investigation workflow, while knowing when to rely on your own judgement.

Bonus Points For

• Experience with billing, tax, or financial systems.
• Telecom domain knowledge
• Experience with SQLAlchemy and Alembic.
• You take a thoughtful approach to decision making, knowing when to move fast and when to long-term optimize.
• You want to work in a fast-paced, product-driven environment.
• You keep up to date with the latest technologies and patterns, and enjoy sharing what you've learned.
• Familiarity with agent communication protocols (MCP, A2A).
• Experience building AI agents or LLM-powered applications.

#LI-KG1

#LI-BRAZIL

Datadog is seeking a Marketing Operations Manager to join our growing global Campaign Operations team, reporting to the Director of Campaign Operations. As the first Campaign Operations hire in the LATAM region, you’ll have the unique opportunity to shape and drive our regional email strategy. You’ll work closely with marketing partners to lead campaign execution, optimization, and performance reporting while helping to scale programs for a fast-growing business. This role offers significant autonomy and impact, along with close support from our global team and cross-functional collaborators.

At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate as a hybrid workplace to ensure our Datadogs can create a work-life harmony that best fits them.

What You’ll Do:

• Lead the development and execution of ad hoc and automated email programs in Marketo
• Segment and manage lead databases to ensure accurate targeting, including partitioning for co-marketing and partner contacts
• Oversee tagging, tracking, and lead flow processes for partner-sourced leads, proactively identifying risks and optimization opportunities
• Analyze and report on campaign performance to uncover insights, recommend improvements, and implement changes
• Partner with regional marketing and go-to-market teams to align campaign execution with strategic goals and best practices
• Stay up to date on email marketing compliance and legal regulations to ensure ongoing adherence

Who You Are:

• 3-5 years of experience in marketing operations, preferably in a B2B technology environment
• Hands-on expertise with marketing automation and CRM platforms; Marketo and Salesforce experience strongly preferred
• Familiarity with email development, HTML, and CSS
• Strong analytical skills with experience using reporting tools; knowledge of Tableau and SQL is a plus
• Excellent communication and project management skills, with the ability to collaborate across stakeholders and manage competing priorities
• Language proficiency in Portuguese and Spanish preferred

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth:

• Generous and competitive benefits package
• New hire stock equity (RSUs) and employee stock purchase plan
• Continuous career development and pathing opportunities
• Employee-focused best in class onboarding
• Internal mentor and cross-departmental buddy program
• Friendly and inclusive workplace culture

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Somos o acelerador que impulsiona o crescimento na Ibero-América, combinando a excelência global em engenharia da EPAM com a experiência regional e a proximidade cultural da NEORIS. Ajudamos as organizações a escalar, modernizar e avançar em sua transformação digital por meio de soluções em Cloud, Data & Analytics, Inteligência Artificial, Cibersegurança, Automação Inteligente, Consultoria Estratégica e Engenharia de Software.

Respaldados por mais de 60.000 profissionais em mais de 55 países e por um sólido modelo Nearshore, conectamos capacidades globais com confiança local para gerar impacto real, crescimento sustentável e resultados de alto valor para nossos clientes.

Acreditamos que a diversidade impulsiona a inovação. Por isso, todas as nossas oportunidades estão abertas para todas as pessoas, independente de gênero, raça, idade, identidade, orientação ou condição. 

Modelo de atuação: REMOTO - BR

Formato de contratação: CLT

Descrição do Cargo

Responsabilidades

• Levantar, analisar e documentar requisitos de negócio, convertendo-os em user stories e especificações funcionais claras.
• Atuar junto a stakeholders e times técnicos garantindo alinhamento, priorização e qualidade na entrega.
• Apoiar todo o ciclo de entrega, desde definição de escopo até UAT e validação final da solução.

Requisitos

• Experiência sólida como Business Analyst em ambientes corporativos.
• Forte atuação com Salesforce (Sales Cloud, Service Cloud, Experience Cloud ou similares).
• Vivência em levantamento e documentação de requisitos funcionais e não funcionais.
• Experiência em integrações (APIs, serviços REST/SOAP, mensageria, processos assíncronos).
• Conhecimento em orquestração de processos e mapeamento de fluxos de negócio.
• Vivência com bancos de dados SQL (queries, análise e apoio à solução).
• Experiência com ferramentas corporativas como SharePoint e/ou CMS.Atuação em ambientes Ágeis, incluindo gestão de backlog, refinamentos e cerimônias.
• Capacidade de interpretar soluções de terceiros e apoiar integrações técnicas.
• Boa comunicação, visão analítica e forte capacidade de gestão de stakeholders.
• Experiência prévia em projetos Salesforce de grande porte ou ambientes globais.
• Vivência em UAT, testes funcionais e validação junto ao negócio.
• Conhecimento em arquitetura Salesforce e melhores práticas da plataforma.
• Certificações Salesforce (em andamento ou concluídas).
• Inglês técnico para atuação em projetos internacionais.

Oferecemos

• Vale Refeição e Vale Alimentação: Benefícios mensais para suas despesas com alimentação, dentro e fora de casa. 
• Previdência Privada: Planejamento de futuro com contribuição complementar à aposentadoria. 
• Plano de Saúde: Cobertura médica de alta qualidade para você e seu dependente legal. 
• Plano Odontológico: Cuidados odontológicos completos, com ampla rede de atendimento. 
• Seguro de Vida: Proteção e segurança para você e seus entes queridos. 
• Aulas de Inglês/Espanhol: Incentivo ao aprendizado de idiomas. 
• Wellhub: Benefícios e descontos em academias e programas de bem-estar. 
• Auxílio Creche: Suporte financeiro para despesas com educação infantil. 
• Neoris Global Campus: Plataforma de desenvolvimento com oportunidades contínuas de aprendizado e crescimento profissional. 

Te convidamos a nos conhecer em http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

#LI-NP1

Somos o acelerador que impulsiona o crescimento na Ibero-América, combinando a excelência global em engenharia da EPAM com a experiência regional e a proximidade cultural da NEORIS. Ajudamos as organizações a escalar, modernizar e avançar em sua transformação digital por meio de soluções em Cloud, Data & Analytics, Inteligência Artificial, Cibersegurança, Automação Inteligente, Consultoria Estratégica e Engenharia de Software.

Respaldados por mais de 60.000 profissionais em mais de 55 países e por um sólido modelo Nearshore, conectamos capacidades globais com confiança local para gerar impacto real, crescimento sustentável e resultados de alto valor para nossos clientes.

Acreditamos que a diversidade impulsiona a inovação. Por isso, todas as nossas oportunidades estão abertas para todas as pessoas, independente de gênero, raça, idade, identidade, orientação ou condição. 

Localidade: São Paulo/Pinheiros

Modelo de atuação: Híbrido

Formato de contratação: CLT

Descrição do Cargo

Estamos em busca de um(a) Data Engineer com sólida experiência em projetos de migração de dados, plataformas modernas de dados e arquiteturas em nuvem. O profissional será responsável por atuar na modernização de ambientes, com foco em soluções baseadas em Databricks e Microsoft Azure.

Responsabilidades

• Projetar, desenvolver e manter pipelines de dados escaláveis (batch e streaming).
• Atuar em projetos de migração de dados (on-premises para cloud, modernização de plataformas, etc.).
• Desenvolver e otimizar soluções utilizando Databricks.
• Construir processos de ETL/ELT seguindo boas práticas de engenharia de dados.
• Trabalhar em conjunto com times técnicos e de negócio para levantamento de requisitos.
• Garantir qualidade, governança e segurança dos dados.
• Monitorar, otimizar performance e custo das soluções em nuvem.
• Investigar e resolver problemas em pipelines de dados em produção.
• Documentar arquiteturas, processos técnicos e estratégias de migração.

Requisitos

• Formação superior em Ciência da Computação, Engenharia, Sistemas de Informação ou áreas correlatas.
• Experiência anterior como Data Engineer.
• Experiência em migração de dados (ambientes legados para cloud ou entre plataformas).
• Experiência prática com Databricks.
• Conhecimento em Microsoft Azure, incluindo: Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics e Azure SQL.
• Domínio de SQL e modelagem de dados.
• Experiência com Python ou Scala.
• Conhecimento em Delta Lake e arquitetura Lakehouse.

Diferenciais

• Certificação em Databricks.
• Experiência com CI/CD para pipelines de dados.
• Conhecimento em Infraestrutura como Código (Terraform, ARM).
• Experiência com otimização de performance em Spark.
• Conhecimento em governança de dados.

Oferecemos

• Vale Refeição e Vale Alimentação: Benefícios mensais para suas despesas com alimentação, dentro e fora de casa. 
• Previdência Privada: Planejamento de futuro com contribuição complementar à aposentadoria. 
• Plano de Saúde: Cobertura médica de alta qualidade para você e seu dependente legal. 
• Plano Odontológico: Cuidados odontológicos completos, com ampla rede de atendimento. 
• Seguro de Vida: Proteção e segurança para você e seus entes queridos. 
• Aulas de Inglês/Espanhol: Incentivo ao aprendizado de idiomas. 
• Wellhub: Benefícios e descontos em academias e programas de bem-estar. 
• Auxílio Creche: Suporte financeiro para despesas com educação infantil. 
• Neoris Global Campus: Plataforma de desenvolvimento com oportunidades contínuas de aprendizado e crescimento profissional. 

Te convidamos a nos conhecer em http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

#LI-BR1

Somos o acelerador que impulsiona o crescimento na Ibero-América, combinando a excelência global em engenharia da EPAM com a experiência regional e a proximidade cultural da NEORIS. Ajudamos as organizações a escalar, modernizar e avançar em sua transformação digital por meio de soluções em Cloud, Data & Analytics, Inteligência Artificial, Cibersegurança, Automação Inteligente, Consultoria Estratégica e Engenharia de Software.

Respaldados por mais de 60.000 profissionais em mais de 55 países e por um sólido modelo Nearshore, conectamos capacidades globais com confiança local para gerar impacto real, crescimento sustentável e resultados de alto valor para nossos clientes.

Acreditamos que a diversidade impulsiona a inovação. Por isso, todas as nossas oportunidades estão abertas para todas as pessoas, independente de gênero, raça, idade, identidade, orientação ou condição. 

Localidade: São Paulo/Pinheiros

Modelo de atuação: Híbrido

Formato de contratação: CLT

Descrição do Cargo

Estamos buscando um(a) Data Business Analyst para atuar como ponte entre as áreas de negócio e o time de dados, transformando dados em insights estratégicos que apoiem a tomada de decisão. Essa pessoa será responsável por entender as necessidades do negócio, analisar dados e comunicar resultados de forma clara e acionável.

Responsabilidades

• Levantar e traduzir requisitos de negócio em análises e métricas de dados
• Analisar grandes volumes de dados para identificar tendências, oportunidades e riscos
• Criar, manter e evoluir dashboards e relatórios gerenciais
• Trabalhar em conjunto com Data Engineers, Data Scientists e stakeholders de negócio
• Definir e acompanhar KPIs e métricas de performanceApoiar a tomada de decisão por meio de análises exploratórias e estudos ad hoc
• Garantir a qualidade, consistência e confiabilidade dos dados utilizados nas análises
• Documentar requisitos, métricas e definições de negócio
• Apresentar insights e recomendações de forma clara para públicos técnicos e não técnicos

Requisitos

• Formação em Administração, Economia, Engenharia, Estatística, Sistemas de Informação ou áreas correlatas
• Experiência com análise de dados voltada para negócio
• Domínio de SQL
• Experiência com ferramentas de visualização de dados (Power BI, Tableau, Looker, etc.).
• Conhecimento em modelagem de dados analíticos
• Capacidade de interpretar dados e traduzi-los em insights de negócio
• Boa comunicação e habilidade para apresentação de resultados

Diferenciais

• Experiência com cloud (GCP, Azure ou AWS)
• Conhecimento em Python ou R para análises
• Experiência com ferramentas de BI em cloud (Looker, Power BI Service, etc.)
• Conhecimento em métricas financeiras, operacionais ou de produto
• Experiência com metodologias ágeis (Scrum, Kanban).
• Forte pensamento analítico e crítico.
• Capacidade de trabalhar com múltiplos stakeholders.
• Organização e atenção aos detalhes.
• Proatividade e foco em solução.
• Facilidade para explicar dados de forma simples e objetiva.

Oferecemos

• Vale Refeição e Vale Alimentação: Benefícios mensais para suas despesas com alimentação, dentro e fora de casa. 
• Previdência Privada: Planejamento de futuro com contribuição complementar à aposentadoria. 
• Plano de Saúde: Cobertura médica de alta qualidade para você e seu dependente legal. 
• Plano Odontológico: Cuidados odontológicos completos, com ampla rede de atendimento. 
• Seguro de Vida: Proteção e segurança para você e seus entes queridos. 
• Aulas de Inglês/Espanhol: Incentivo ao aprendizado de idiomas. 
• Wellhub: Benefícios e descontos em academias e programas de bem-estar. 
• Auxílio Creche: Suporte financeiro para despesas com educação infantil. 
• Neoris Global Campus: Plataforma de desenvolvimento com oportunidades contínuas de aprendizado e crescimento profissional. 

Te convidamos a nos conhecer em http://www.neoris.com, Facebook, LinkedIn, Twitter o Instagram: @NEORIS.

#LI-BR1

Responsabilidades da vaga: 

• Liderar a criação e execução de campanhas multicanais (e-mail e WhatsApp) com foco em performance e personalização.
• Desenvolver e otimizar automações complexas no Automation Studio e jornadas no Journey Builder, integradas com a Sales Cloud/Salesforce.
  
• Atuar na definição, construção e manutenção de bases segmentadas via SQL, garantindo performance e governança dos dados.
  
• Apoiar na criação e teste de conteúdos dinâmicos para e-mails e CloudPages utilizando HTML e AMPScript.
  
• Ser ponte entre áreas de marketing, tecnologia e negócio, garantindo alinhamento e entrega de valor nas iniciativas de CRM.
  

Principais Objetivos e Metas:

• Atingir e superar a meta de 60 mil inscritos nos programas educacionais.
• Garantir um aumento contínuo e eficiente no volume de inscritos qualificados para os programas.
• Otimizar as taxas de conversão do funil, desde a captação de leads até a conversão final.
• Fortalecer o uso de fluxos de automação e escalabilidade para otimizar processos de vendas e/ou engajamento. 

Competências Obrigatórias: 

• Experiência prévia com Salesforce Marketing Cloud, especialmente em Email Studio, Journey Builder, Automation Studio, Contact Builder e Content Builder.
• Conhecimento em SQL para segmentações simples.
• Experiência com integração entre Marketing Cloud e Sales Cloud (Data Extensions, sincronizações, APIs).
• Noções de AMPScript e HTML/CSS aplicadas a e-mails.
  
• Capacidade analítica e foco em resultados.

Experiências Prévias ou Conhecimentos Diferenciais: 

• Experiência com WhatsApp da Salesforce.
• Expertise aprofundada em Salesforce Sales Cloud e suas funcionalidades.
• Vivência em times com foco em CRM, performance e personalização de campanhas.

Nossos Benefícios:

• Plano de saúde Bradesco;
• Plano Odontológico Bradesco;
• Vale-refeição/alimentação;
• Bônus por performance; 
• Wellhub e/ou TotalPass.

Missão do cargo

Ser responsável por executar, de ponta a ponta, a estratégia comercial do Na Prática, atuando ao longo de todo o funil de vendas — da prospecção e qualificação de leads à negociação e conversão de novos negócios. Garantir a geração contínua de oportunidades qualificadas, a condução de reuniões de vendas, a construção de propostas consultivas e a conversão de leads em contratos assinados. Operar com disciplina na gestão do funil, uso rigoroso de CRM, cadência consistente de follow-up e negociação orientada a valor, assegurando alinhamento de expectativas e handoff estruturado para Sucesso do Cliente e Farming.

Principais responsabilidades

• Desenvolver e executar a estratégia de Hunting, definindo segmentos prioritários, contas-alvo e critérios de qualificação para geração de novas oportunidades comerciais.

• Planejar e executar cadências multicanais de prospecção (e-mail, LinkedIn, WhatsApp e telefone), personalizando mensagens (copy) de acordo com dor, segmento e contexto do potencial cliente.

• Qualificar leads de forma assertiva, garantindo que apenas oportunidades com real potencial de compra avancem no funil de vendas.

• Conduzir reuniões de diagnóstico estruturadas, identificando dores reais, prioridades, impacto no negócio, stakeholders, orçamento e processo de decisão do cliente.

• Construir e apresentar propostas comerciais personalizadas, com clareza de escopo, prazos, investimento e alinhamento de valor com os objetivos do cliente.

• Conduzir negociações consultivas, gerenciando objeções, dúvidas e expectativas até o fechamento do contrato.

• Executar follow-ups disciplinados ao longo do funil de vendas, assegurando avanço consistente das oportunidades até a assinatura.

• Gerir o CRM com alto nível de precisão, registrando interações, status, histórico e previsões de fechamento (ferramentas Snov.io e Salesforce).

• Monitorar e reportar indicadores de desempenho comercial (leads qualificados, reuniões agendadas, conversão MQL → SQL, propostas enviadas, conversão proposta → contrato, tempo de ciclo e receita), transformando dados em insights acionáveis para otimização contínua.

• Garantir handoff estruturado para Sucesso do Cliente, assegurando alinhamento final de expectativas e qualidade na entrega pós-venda.

 Requisitos e qualificações

Obrigatórios:

• Experiência prévia em vendas B2B full-cycle (SDR + Closer), atuando em prospecção, qualificação e fechamento.

• Capacidade de operar o funil de vendas consultivo de ponta a ponta, com execução disciplinada de follow-up e gestão de pipeline.

• Experiência na condução de reuniões de diagnóstico estruturadas, identificando dor, impacto no negócio, decisores e processo de decisão.

• Vivência na construção, apresentação e negociação de propostas comerciais, com foco em valor, escopo, prazos e investimento.

• Uso consistente e organizado de CRM, com registro de interações, status e previsibilidade do pipeline.

• Comunicação clara, consultiva e persuasiva, com boa capacidade de argumentação e storytelling comercial.

• Forte orientação a resultados e métricas comerciais, acompanhando indicadores como leads qualificados, reuniões, conversão, tempo de ciclo e receita.

Desejáveis:

• Experiência com metodologias de vendas consultivas (ex.: SPIN ou similares).

• Vivência em vendas de serviços, educação ou soluções de impacto social.

• Capacidade analítica para leitura e otimização contínua do funil de vendas.

• Experiência de atuação em interface com Marketing e Sucesso do Cliente.

O que esperamos dessa pessoa

• Senso de dono sobre o funil comercial, com autonomia e responsabilidade.

• Postura consultiva, curiosidade pelo negócio do cliente e escuta ativa.

• Disciplina na gestão do funil, uso rigoroso de CRM e cadência de follow-up.

• Capacidade de executar com consistência, analisar resultados e ajustar abordagens.

• Olhar estratégico, mas com mão na massa para execução.

• Capacidade de analisar resultados e propor melhorias com base em dados.

 Indicadores de sucesso

• Oportunidades qualificadas geradas e reuniões realizadas.

• Conversão ao longo do funil (lead > proposta > contrato).

• Tempo de ciclo de vendas e previsibilidade do pipeline.

• Receita nova gerada.

• Qualidade do handoff para Sucesso do Cliente.

Benefícios:

• Plano de Saúde Bradesco Saúde Top Nacional
• Plano Odontológico Bradesco Saúde Top Nacional
• Vale-refeição/Vale-alimentação
• Vale Transporte, se solicitado
• Bônus por performance
• Wellhub e/ou TotalPass

Vaga hídrida, 3x por semana no escritório em São Paulo.

SOBRE A CAPCO 

A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 33 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!

Estamos à procura de um(a) desenvolvedor(a) altamente habilidoso e apaixonado por tecnologia para integrar nossa equipe de desenvolvimento. 

PRINCIPAIS RESPONSABILIDADES:

• Atuar diretamente com desenvolvimento em React e Java, adotando práticas modernas de engenharia de software e entrega, utilizando Java Backend, princípios de Microservices, JAX-RS, Websphere, XML, DB2 (ou forte experiência com SQL), React, jQuery, JavaScript, HTML DOM, HTML5, CSS3, e opcionalmente: Node.js, Mockito, Postman
• Realizar testes de API para garantir código estável e de qualidade
• Trabalhar em conjunto com Desenvolvedores Sêniores para entregar código de qualidade que atenda às necessidades do cliente
• Demonstrar paixão por aprendizado e disposição para adotar novas tecnologias
• Contribuir para uma cultura de inovação, ideias e melhoria contínua, com boa atitude, comunicação sólida, vontade de aprender e colaborar
• Garantir documentação clara das funcionalidades criadas ou modificadas

REQUISITOS TÉCNICOS:

• Experiência no desenvolvimento de aplicações complexas utilizando Java Backend, princípios de Microservices, JAX-RS, Websphere, XML, DB2 (ou forte experiência com SQL), React, jQuery, JavaScript, HTML DOM, HTML5, CSS3, e opcionalmente: Node.js, Mockito, Postman
• Disposição para trabalhar com o time e outros desenvolvedores da empresa, visando a melhoria contínua do processo de desenvolvimento
• Fortes habilidades de pensamento crítico
• Excelentes habilidades de comunicação, com capacidade de interagir com Desenvolvedores Sêniores e o Tech Lead
• Inglês avançado/fluente (mandatório)

POR QUE CAPCO:

Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. 
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros.
Nossas oportunidades são trabalhadas para todos(as)!!!
#LifeAtCapco

PRÓXIMOS PASSOS:

• Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Partner Solutions Engineer

Adyen is looking for a Partner Solutions Engineer with a hands-on track record of working with technologies like APIs and front end development. You can plan and execute complex system integration projects, and your mastery of our technologies enables you to build and maintain deep technical relationships with our most important strategic partners. This role focuses on ensuring our partners can successfully leverage the full potential of the Adyen platform for their customers through expert technical guidance and problem solving, product roadmap alignment, and architectural recommendations.

As a Partner Solutions Engineer, you will be a subject matter expert in Adyen’s product offerings down to the API level, enabling you to serve as the primary long-term technical counterpart for our partners' engineering and product management teams. Your goal is to ensure partners architect and implement solutions that deliver the best of Adyen, driving mutual success and innovation. This position requires a blend of technical expertise, strategic thinking, and strong stakeholder management skills to influence both partner implementations and Adyen's internal product development.

This role is critical in ensuring Adyen's platform is scalably supportable by our partners and that partner feedback effectively shapes our product evolution. The ideal candidate possesses a strong technical foundation, excellent communication skills, and the ability to build lasting, influential relationships internally and with partners.

What you'll do:

• Utilize software development and programming expertise to help partners create robust, scalable solutions that deliver Adyen’s products to their customers quickly and at high quality.
• Act as the long-term, trusted technical contact for partners' engineering and product teams,  guiding them on Adyen's platform capabilities and integration best practices.
• Provide ongoing support for technical inquiries, hands-on assistance during the implementation process, and lead troubleshooting efforts to ensure the timely delivery of solutions.
• Develop a comprehensive understanding of both Adyen's and key partners' product roadmaps. Provide strategic architectural recommendations to ensure partners optimally integrate Adyen's solutions, maximizing value for their end-customers.
• Collaborate with internal Product and Engineering stakeholders, advocating for partner needs and influencing Adyen’s roadmap to enhance scalability and supportability for the Adyen product offering.

Who you are:

• Proficiency in one or more programming or scripting languages (e.g., Python, Java, JavaScript, SQL).
• 8+ years experience integrating and/or providing technical consultation when integrating with Web APIs or complex systems.
• Proficient in English and Spanish.
• Availability to work 3 days in person on Morumbi/SP.
• Proven ability to quickly learn new technologies, understand complex systems (APIs, databases, SDKs, etc.), and a strong desire to continuously improve technical acumen.
• Excellent communication and presentation skills; comfortable leading technical discussions and building rapport with engineering leaders and product managers.
• Ability to establish and maintain strong, long-term technical relationships with partners.
• Ability to navigate ambiguity, manage technical stakeholders effectively, influence internal roadmaps, and make decisions by collaborating with the right people.
• Growth mindset with a bias toward action and strategic thinking.

This role is based out of our São Paulo. We are an office-first company and value in-person collaboration; we do not offer remote-only roles.

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

Adyen is an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status or any legally protected status.

SR. BUSINESS OPERATIONS MANAGER (STARLINK BRAZIL GROWTH)

The Sr. Business Operations Manager’s role is to improve Starlink’s key performance indicators (KPIs) at SpaceX, focused around omni-channel subscriber & revenue growth. The role combines data analytics with broader business planning, decision-making, strategy, and execution, directly supporting SpaceX’s leadership. Business Operations is embedded in daily operations, supporting both near-term execution and long-term planning. Team members are expected to analyze data, provide recommendations, and lead cross-functional decision-making and implementation.

RESPONSIBILITIES:

• Monitor, analyze, provide strategic insights, execute, and improve vs. key performance indicators for the business (especially active subscribers, churn, sales, production, inventory, produce-to-activate, net promotor score, customer lifetime value, cost per unit, revenue, cost of sales, operating expenses, and capital expenditure)
• Lead onboarding of new channels, providing tools, analysis and insights to guarantee better possible performance from commercial collaborations
• Analyze market pricing dynamics and provide leadership with insights on elasticity and performance to sustain tempestive decision processes
• Identify initiatives for improvement of SpaceX’s business outlook, including developing, tracking, and executing business initiatives with SpaceX’s leadership
• Facilitate modeling and decision-making for program development trades and program ramp/sunset plans, including managing forecasting for Brazil on supply / demand, working with closely growth, sales, design, engineering, operations, logistics, finance, tax, legal, etc.
• Enable and accelerate go to market execution for programs post licensing and certification
• Proactively grow subscriber base to achieve targeted levels and report progress

BASIC QUALIFICATIONS:

• Bachelor’s degree in engineering, business, mathematics, or economics
• 6+ years of professional experience in consulting, product management, operations, FP&A, banking, engineering, or entrepreneurship
• 4+ years of professional experience in Excel or programming

PREFERRED SKILLS AND EXPERIENCE:

• 10+ years of professional experience in consulting, product management, operations, FP&A, banking, engineering, or entrepreneurship
• Evidence of exceptional ability, especially within an ambiguous environment
• Quantitative dual degree in engineering field and economics or business field and/or equivalent professional experience
• Ability to read and interpret income statements, balance sheets, and cash flow statements
• Demonstrated success driving tangible impact/influencing within a broader organization
• Excellent analytical skills (e.g. Python, SQL, Tableau, Power BI, Power Query, Microsoft Office applications, Excel modeling, or similar data manipulation tools etc.)
• Strong written and verbal communication skills, particularly with senior business leaders
• Extreme sense of urgency and ownership
• Bias toward action and automation
• Strong interpersonal skills (examples: leading a student organization or working successfully in teams)
• Strong analytical and problem-solving skills with attention to detail
• Ability to work cross-functionally with different groups and teams
• Ability to work effectively in a dynamic environment with changing needs and requirements
• Ability to work independently and in a team, take initiative, and communicate effectively

ADDITIONAL REQUIREMENTS:

• Must be available to work extended hours and weekends as needed
• Willingness to travel to customer sites, other SpaceX locations, and events as needed

BUSINESS OPERATIONS MANAGER (STARLINK BRAZIL GROWTH)

The Business Operations Manager’s role is to improve Starlink’s key performance indicators (KPIs) at SpaceX, focused around omni-channel subscriber & revenue growth. The role combines data analytics with broader business planning, decision-making, strategy, and execution, directly supporting SpaceX’s leadership. Business Operations is embedded in daily operations, supporting both near-term execution and long-term planning. Team members are expected to analyze data, provide recommendations, and lead cross-functional decision-making and implementation.

RESPONSIBILITIES:

• Monitor, analyze, provide strategic insights, execute, and improve vs. key performance indicators for the business (especially active subscribers, churn, sales, production, inventory, produce-to-activate, net promotor score, customer lifetime value, cost per unit, revenue, cost of sales, operating expenses, and capital expenditure)
• Lead onboarding of new channels, providing tools, analysis and insights to guarantee better possible performance from commercial collaborations
• Analyze market pricing dynamics and provide leadership with insights on elasticity and performance to sustain tempestive decision processes
• Identify initiatives for improvement of SpaceX’s business outlook, including developing, tracking, and executing business initiatives with SpaceX’s leadership
• Facilitate modeling and decision-making for program development trades and program ramp/sunset plans, including managing forecasting for Brazil on supply / demand, working with closely growth, sales, design, engineering, operations, logistics, finance, tax, legal, etc.
• Enable and accelerate go to market execution for programs post licensing and certification
• Proactively grow subscriber base to achieve targeted levels and report progress

BASIC QUALIFICATIONS:

• Bachelor’s degree in engineering, business, mathematics, or economics
• 4+ years of professional experience in consulting, product management, operations, FP&A, banking, engineering, or entrepreneurship
• 3+ years of professional experience in Excel or programming

PREFERRED SKILLS AND EXPERIENCE:

• 6+ years of professional experience in consulting, product management, operations, FP&A, banking, engineering, or entrepreneurship
• Evidence of exceptional ability, especially within an ambiguous environment
• Quantitative dual degree in engineering field and economics or business field and/or equivalent professional experience
• Ability to read and interpret income statements, balance sheets, and cash flow statements
• Demonstrated success driving tangible impact/influencing within a broader organization
• Excellent analytical skills (e.g. Python, SQL, Tableau, Power BI, Power Query, Microsoft Office applications, Excel modeling, or similar data manipulation tools etc.)
• Strong written and verbal communication skills, particularly with senior business leaders
• Extreme sense of urgency and ownership
• Bias toward action and automation
• Strong interpersonal skills (examples: leading a student organization or working successfully in teams)
• Strong analytical and problem-solving skills with attention to detail
• Ability to work cross-functionally with different groups and teams
• Ability to work effectively in a dynamic environment with changing needs and requirements
• Ability to work independently and in a team, take initiative, and communicate effectively

ADDITIONAL REQUIREMENTS:

• Must be available to work extended hours and weekends as needed
• Willingness to travel to customer sites, other SpaceX locations, and events as needed

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Data Analyst 

We are seeking an experienced Data Analyst  to play a critical role in driving scalable optimizations and advanced analytics across Adyen’s global Performance Optimization team. As a mid-level analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver actionable insights that maximize merchant growth.

This role is ideal for an experienced analyst looking to deepen technical impact while influencing product and business outcomes at scale.

What You’ll Do

• Data-Driven Optimization: Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to our biggest customers, while identifying and driving scalable opportunities that benefit the broader merchant base.
• Scalable Tooling & Automation: Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders.
• Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions, driving continuous platform improvements.
• Advanced Problem-Solving & Experimentation: Lead complex A/B testing and data investigations, shaping data-driven strategies and validating hypotheses with analytical rigor.
• Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into compelling narratives, tailoring insights for technical and non-technical audiences, and positioning the Performance Optimization team as a key business enabler.
• Mentorship & Best Practices: Support knowledge-sharing within the Performance Optimization team, contributing to the elevation of analytical standards and technical excellence.
  
  

Who You Are

• 3–5 years of relevant experience in a data analytics, data science, or similar role, ideally in fintech, payments, or a high-growth tech environment.
• Strong proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing.
• Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of data validations to ensure reliability.
• Familiarity with big data tools (Spark, Airflow) and version control using Git.
• Solid experience with data visualization tools (e.g., Looker, Tableau) and dashboard development.
• Deep understanding of statistics, hypothesis testing, and data mining.
• Strong cross-functional collaboration and stakeholder management skills, with the ability to influence product and business outcomes.
• Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment.
• Excellent communication and storytelling skills, translating data insights into business value.
•  You speak fluently Portuguese and English

Important Information:

• Please, note that this role is a full-time position in Sao Paul o(3 days in office, 2 at home). It will require a relocation in case you live outside of these areas.
• Please apply with an English resume. Our full interview process is conducted in English.
• Applicants must be legally authorized to work in Brazil. We do not offer visa sponsorship for this position. We offer relocation package to successful candidates with legal right to work in Brazil internationally and locally to Sao Paulo. 

**Internally the role being called Optimization Data Analyst 

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Optimization Data Analyst 

We are seeking an experienced Optimization Data Analyst  to play a critical role in driving scalable optimizations and advanced analytics across Adyen’s global Performance Optimization team. As a mid-level analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver actionable insights that maximize merchant growth.

This role is ideal for an experienced analyst looking to deepen technical impact while influencing product and business outcomes at scale.

What You’ll Do

• Data-Driven Optimization: Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to our biggest customers, while identifying and driving scalable opportunities that benefit the broader merchant base.
• Scalable Tooling & Automation: Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders.
• Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions, driving continuous platform improvements.
• Advanced Problem-Solving & Experimentation: Lead complex A/B testing and data investigations, shaping data-driven strategies and validating hypotheses with analytical rigor.
• Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into compelling narratives, tailoring insights for technical and non-technical audiences, and positioning the Performance Optimization team as a key business enabler.
• Mentorship & Best Practices: Support knowledge-sharing within the Performance Optimization team, contributing to the elevation of analytical standards and technical excellence.
  
  

Who You Are

• 3–5 years of relevant experience in a data analytics, data science, or similar role, ideally in fintech, payments, or a high-growth tech environment.
• Strong proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing.
• Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of data validations to ensure reliability.
• Familiarity with big data tools (Spark, Airflow) and version control using Git.
• Solid experience with data visualization tools (e.g., Looker, Tableau) and dashboard development.
• Deep understanding of statistics, hypothesis testing, and data mining.
• Strong cross-functional collaboration and stakeholder management skills, with the ability to influence product and business outcomes.
• Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment.
• Excellent communication and storytelling skills, translating data insights into business value.
•  You speak fluently Portuguese and English

Important Information:

• Please, note that this role is a full-time position in Sao Paulo (3 days in office, 2 at home). It will require a relocation in case you live outside of these areas.
• Please apply with an English resume. Our full interview process is conducted in English.
• Applicants must be legally authorized to work in Brazil. We do not offer visa sponsorship for this position. We offer relocation package to successful candidates with legal right to work in Brazil internationally and locally to Sao Paulo. 

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

This is Adyen

Adyen provides payments, data, and financial products in a single solution for customers like Meta, Uber, H&M, and Microsoft - making us the financial technology platform of choice. At Adyen, everything we do is engineered for ambition. 

For our teams, we create an environment with opportunities for our people to succeed, backed by the culture and support to ensure they are enabled to truly own their careers. We are motivated individuals who tackle unique technical challenges at scale and solve them as a team. Together, we deliver innovative and ethical solutions that help businesses achieve their ambitions faster.

Optimization Data Analyst 

We are seeking an experienced Optimization Data Analyst  to play a critical role in driving scalable optimizations and advanced analytics across Adyen’s global Performance Optimization team. As a mid-level analyst, you will independently lead complex analyses, support automation and experimentation projects, and collaborate with commercial and product stakeholders to deliver actionable insights that maximize merchant growth.

This role is ideal for an experienced analyst looking to deepen technical impact while influencing product and business outcomes at scale.

What You’ll Do

• Data-Driven Optimization: Analyze large-scale payment datasets to identify performance trends, uncover optimization opportunities, and deliver high-impact recommendations to our biggest customers, while identifying and driving scalable opportunities that benefit the broader merchant base.
• Scalable Tooling & Automation: Design and build scalable analytics solutions, automation pipelines, and self-service tools that empower internal teams and stakeholders.
• Cross-Functional Collaboration: Partner with Product, Data, and Commercial teams to translate business challenges into analytical solutions, driving continuous platform improvements.
• Advanced Problem-Solving & Experimentation: Lead complex A/B testing and data investigations, shaping data-driven strategies and validating hypotheses with analytical rigor.
• Strategic Data Storytelling: Drive strategic discussions by synthesizing complex data into compelling narratives, tailoring insights for technical and non-technical audiences, and positioning the Performance Optimization team as a key business enabler.
• Mentorship & Best Practices: Support knowledge-sharing within the Performance Optimization team, contributing to the elevation of analytical standards and technical excellence.
  
  

Who You Are

• 3–5 years of relevant experience in a data analytics, data science, or similar role, ideally in fintech, payments, or a high-growth tech environment.
• Strong proficiency in Python, SQL, and PySpark, with hands-on experience in large-scale data processing.
• Ability to design and develop efficient and scalable ETL and data pipelines for datasets, including the use of data validations to ensure reliability.
• Familiarity with big data tools (Spark, Airflow) and version control using Git.
• Solid experience with data visualization tools (e.g., Looker, Tableau) and dashboard development.
• Deep understanding of statistics, hypothesis testing, and data mining.
• Strong cross-functional collaboration and stakeholder management skills, with the ability to influence product and business outcomes.
• Proactive, self-directed, and able to manage multiple priorities in a dynamic, global environment.
• Excellent communication and storytelling skills, translating data insights into business value.
•  You speak fluently Portuguese and English

Important Information:

• Please, note that this role is a full-time position in Sao Paulo (3 days in office, 2 at home). It will require a relocation in case you live outside of these areas.
• Please apply with an English resume. Our full interview process is conducted in English.
• Applicants must be legally authorized to work in Brazil. We do not offer visa sponsorship for this position. We offer relocation package to successful candidates with legal right to work in Brazil internationally and locally to Sao Paulo. 

Our Diversity, Equity and Inclusion commitments 

Our unique approach is a product of our diverse perspectives. This diversity of backgrounds and cultures is essential in helping us maintain our momentum. Our business and technical challenges are unique, and we need as many different voices as possible to join us in solving them - voices like yours. No matter who you are or where you’re from, we welcome you to be your true self at Adyen. 

Studies show that women and members of underrepresented communities apply for jobs only if they meet 100% of the qualifications. Does this sound like you? If so, Adyen encourages you to reconsider and apply. We look forward to your application!

What’s next?

Ensuring a smooth and enjoyable candidate experience is critical for us. We aim to get back to you regarding your application within 5 business days. Our interview process tends to take about 4 weeks to complete, but may fluctuate depending on the role. Learn more about our hiring process here. Don’t be afraid to let us know if you need more flexibility.

A Stone:

Somos muito mais do que uma empresa de maquininhas! A Stone é uma empresa de tecnologia e serviços financeiros focada no(a) cliente.

Nascemos com o propósito de ser protagonistas na transformação da indústria de pagamentos, servindo o(a) empreendedor(a) brasileiro(a) e transformando seus sonhos em resultados.

Somos a maior empresa independente de meios de pagamentos do Brasil, com mais de quinze mil pessoas espalhadas pelas cinco regiões do país,  em um cenário repleto de desafios e oportunidades. Valorizamos o trabalho em equipe, a flexibilidade, o desenvolvimento contínuo e os pensamentos disruptivos e incansáveis na busca de soluções para a nossa RAZÃO.

Nossa Cultura: 

Por aqui, vivemos nossa cultura no dia a dia, guiados por esses 5 pilares:

 ⚡Own It: Ter espírito de dono te faz conquistar a liberdade. Valorizamos a autonomia e a proatividade, somos responsáveis pelo o que entregamos e queremos sempre evoluir o nosso negócio. 

🎢Live the Ride: Faça. Feito é melhor que perfeito. Aprendemos com os erros e encaramos desafios como oportunidades de aprendizado.  

🎤No Bullshit: Agir com simplicidade. Somos pessoas práticas, sinceras e gostamos de feedbacks. Sabemos que às vezes vamos errar e contamos com essa transparência para evoluirmos. 

🤝Team Play: Se quer ir rápido, vá sozinho(a). Se quer ir longe, trabalhe em equipe. É sempre possível aprender com as outras pessoas e a colaboração é a chave do sucesso. 

💚The Reason: O cliente não tem razão, ele é a razão. Queremos gerar impacto para nosso(a) cliente, quando enxergamos a melhoria que causamos na vida dele(a), é que sabemos que fizemos uma boa entrega. 

Missão do time:

Como é ser uma pessoa Coordenadora de FP&A:

Área responsável pela consolidação dos processos de controladoria e FP&A dos times de Tecnologia e Produto da Stone. Esse time é responsável por garantir a alocação eficiente dos recursos dessas, coordenando processos de fechamento, orçamento e forecast em conjunto com responsáveis de cada um dos times da tecnologia.

No seu dia a dia, você vai realizar:

• Fechamento financeiro mensal;
• Análise e report de resultados financeiros mensais das áreas de tecnologia;
• Atualização e divulgação do forecast de custos e despesas de tecnologia para o FP&A central;
• Elaboração do orçamento anual de custos e despesas dos times de tecnologia.

O que esperamos de você: 

• Experiência relevante em FP&A, planejamento financeiro ou finanças estratégicas;
• Forte domínio de Excel / Google Sheets (modelagem, automações, cenários);
• Capacidade de traduzir dados financeiros em insights acionáveis para liderança;
• Alta organização e disciplina de processos;
• Experiência prévia liderando pessoas.

Diferenciais: 

• Experiência prévia apoiando áreas de Tecnologia, Produto ou áreas de alto investimento em pessoas;
• Vivência em ambientes de produto digital ou squads ágeis;
• Experiência com SQL ou manipulação de grandes bases;
• Experiência com automações (Python, Apps Script, etc.)

Jornada de Trabalho: 

• 8 horas diárias + 1h de intervalo | Escala: 5x2 | Segunda a Sexta.

Modelo/Local de trabalho: 

• Híbrido/SP.

Nossos Benefícios:

🩺 Plano de Saúde e Odontológico

🏥 Hospital Virtual Verde: contamos com uma equipe médica multidisciplinar, terapeutas e um time de saúde disponível 24 horas por dia 7 dias por semana de forma rápida e prática

🥗 Vale Refeição e/ou Vale Alimentação - Sodexo

💪 Gympass

👶 Auxílio Creche - para crianças até  5 anos e 11 meses

💚 Seguro de Vida

🚗Vale Transporte 

🌴Convênio SESC

💰Salário Fixo 

💲Remuneração Variável (em alguns cargos) 

✏  Benefício Educação - Plataforma interna com acesso a diversos livros, podcasts, treinamentos e vídeo aulas visando o autodesenvolvimento (Studa e Biblioteca StoneCo)

Etapas do Processo Seletivo:

✍Inscrição: Aqui você começa a sua jornada conosco realizando seu cadastro e alguns testes. Fique tranquilo(a), nosso time analisará as informações do seu perfil e entrará em contato em breve. Boa sorte!

📞Entrevistas com o time de People: Este é o momento de nos conhecermos! Você terá um papo inicial com nosso time de recrutamento, com o objetivo de conhecer nossa cultura, estrutura e o desafio que está sendo proposto. 

🎯Entrevista com a Liderança: Nesta etapa vamos nos aprofundar nas suas hard skills! Geralmente essa etapa é composta por um papo sobre o desafio e um case com o objetivo de avaliar habilidades e competências técnicas específicas para a vaga. Além de te apresentar possíveis pares e liderança.

✅Check de Cultura: Nossa cultura é muito importante e está sempre presente no dia a dia! Aqui, você terá um papo com uma das nossas pessoas guardiãs da cultura, com o objetivo de nos conhecer e garantir que nossas crenças, nosso jeito de pensar e nossa visão de futuro estão alinhadas com o que você acredita e busca vivenciar.

🏁Feedback: Uma de nossas forças é a franqueza. Por isso, independente do resultado, iremos compartilhá-lo com você e alinhar os próximos passos.

E aí? Curtiu? Então, não deixa de se inscrever e #VemSerStone 💚🚀 

Aqui na Stone Co., valorizamos e procuramos as melhores pessoas para nos ajudar a melhorar a vida das pessoas empreendedoras do Brasil. Nosso sonho é do tamanho do universo e, se você se identifica com o nosso propósito, venha construí-lo com a gente! 

#LI-HYBRID (híbrido)

Role Summary

Location: Sao Paulo, Brazil

Hybrid

Full-time

Payoneer is looking for a RevOps Lead to build and operate the targeting and data workflows that power our outbound engine. This role directly impacts pipeline and revenue by ensuring our sales teams target the right companies, with high-quality data and scalable workflows.

You don’t need to be an engineer, but you should be comfortable working with systems and tools, AI prompting, data, integrations, and automations.

What you'll do:

• Build and maintain outbound targeting logic and high-intent ICP lists using AI tools and a modern data stack (e.g., Clay)
• Analyze accounts and validate ICP fit using structured data and AI workflows
• Ensure outbound data quality by monitoring enrichment sources, fixing gaps, and improving coverage
• Ingest and structure data from registries, data providers, and partners
• Design and improve automations and workflows across Clay, CRM, and sales tools to reduce manual work and increase sales rep productivity
• Upload, deduplicate, and route leads in Salesforce and outbound tools
• Translate sales strategy into data fields and signals that enable personalization at scale
• Own CRM logic and hygiene for outbound processes
• Track performance, identify drivers of pipeline, and continuously improve targeting and outreach inputs

Who you are:

• 3+ years of experience in RevOps, Sales Ops, GTM Ops, or a similar analytical role
• Working knowledge of JavaScript or Python, with the ability to pull data from APIs (authentication, pagination, JSON handling), and ability to scrape websites into structured datasets.
• Experience with Salesforce & Excel.
• Experience supporting outbound sales or lead generation programs.
• Analytical, technically curious, systems thinker who enjoys automations and process improvement

What could set you apart (nice to have):

• Working knowledge of PowerBI
• Working knowledge of SQL
• Experience with Clay
• Experience working with outbound sales tools and enrichment platforms
• Experience working with APIs, no-code automation tools, or data integrations

#LI-AB4

#LI-Hybrid

P-1520

Sr. Technical Escalation Manager

Note: this is a hybrid role and requires ~3 days in the office in São Paulo-SP.

At Databricks, we are passionate about empowering data teams to tackle the world’s most challenging problems — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world’s leading data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

As a Technical Escalation Manager, you will be responsible for coordinating efforts to resolve critical customer issues, customer-impacting situations, and major incidents. You will work with multiple internal teams (engineering, product management, Customer Success Engineering, and Support) and external partners to effectively resolve these customer-impacting situations.

The impact you will have here:

• Manage support escalation in partnership with engineering, product management, Customer Success Engineering, Support, Customers, and Partners until resolution.
• Achieve customer satisfaction by ensuring incidents or escalations (and related cases)  are well and fully documented with the timely execution of action items.
• Create and execute a data-driven customer recovery plan for every escalation and incident that is addressed.
• Utilize business and technical skills to manage customer escalations, coordinate meetings and deliverables, and analyze trends and patterns for reporting purposes.
• Use data, metrics, and feedback to inform operational and tactical decisions that improve incident and escalation management.
• Coordinate all necessary resources to fast-track and resolve new incidents and escalations from customers with a clear and detailed plan.

What are we looking for?

• A minimum of 5 years of experience in customer support, escalation, SRE, or incident management is required.
• Excellent contextual interpretation and writing skills, as well as the ability to effectively summarize and communicate to both technical and business audiences.
• Experience with a "Distributed big data Computing" environment,  SQL-based databases, as well as data warehousing and ETL technologies such as Informatica, DataStage, Oracle, Teradata, SQL Server, and MySQL.
• Linux/Unix administration skills, networking, and Hands-on Cloud experience with AWS, Azure, or GCP are required.
• Experience working cross-functionally with support, engineering, product management, and directly with customers; ability to deeply understand product and customer personas.
• BS or Master's, or PhD in Computer Science or Computer Engineering, or related Engineering field.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

Business Analysts at Nubank

As a company at the forefront of the financial revolution in Brazil, Nubank has experienced exponential growth since its inception. To keep your growth path healthy, numerous critical decisions constantly need to be made. Business Analysts are fundamental in the decision process because they must not only be able to deal with large amounts of information and data, but also always think of ways to improve our clients' experience.

It is BA's responsibility to structure the data, analyze it and use the results to test different solutions with the aim of improving Nubank's efficiency.

We are looking for people who are independent and who are not afraid to take the initiative to identify and solve problems that are not necessarily obvious.

You can read more about it in our blog and get some insights into how we work.

As a Business Analyst, you’re expected to:

• Do a lot of investigative work, focused on deciding which data makes the most sense to use in which situation. If you don't have the data, it's your job to think about what tests can be done or how to extract the information you need to answer your questions;
• Support your team in making data-based decisions by monitoring analysis and decisions, ensuring the flow of projects and making the process of taking risks comfortable despite the uncertainties;
• Learning how to work with a large volume of data to build a solid foundation for decision making with calculated risks - even knowing that not all the answers are in the data and/or that not all the data you would like is available;Use tools like SQL, Python and Scala - taught during your first weeks with us - for data extraction;
• Understand our products and interactions with other areas;
• Take advantage of opportunities to grow and learn from a well-prepared and highly qualified team;
• Opportunity to work in a complex, dynamic and diverse environment, participating in projects that will impact a large number of clients.

 What are we looking for?

• Analytical capacity: ease with numbers and calculations, having the ability to solve problems mathematically;
• Business basics: dynamics between risks and opportunities, as well as interaction between business areas and technical areas (products/engineering);
• Problem solving: ease and creativity to seek solutions to day-to-day challenges and achieve the best results;
• Ability to understand how your decisions and work impact our customers' experience, seeking results that align with our purpose;
• Willingness and ease of learning, especially for tools;
• Openness to receive feedback and incorporate it into your daily life and development;
• Adaptability to the multifunctional environment;
• Profiles that add value to Nubank's culture.

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/ 

About the team

Be part of the SOx Team, contributing to continuous improvements in the IT General Controls (ITGC), Automated and IT-dependent controls environment at Nubank. The team ensures compliance with SOx requirements and international frameworks (e.g., COSO, COBIT, PCAOB standards), partnering with Engineering, Information Security, IAM, Platform, Data, Controllership, Finance, and Product squads to guarantee that technology processes and components supporting financial reporting are properly designed, operated, and evidenced.

We act as 2nd Line of Defense for SOx, challenging and supporting 1LoD teams in the correct and efficient execution of internal controls in line with Nubank’s Internal Controls and SOx IT Methodology.

About the role

As a SOx IT Specialist, you will be a senior individual contributor and subject-matter expert for IT controls over financial reporting, with strong autonomy and influence across multiple domains and countries.You will:

• Own and lead the assessment of the company’s SOx IT control environment, focusing on Logical access management, Change management, IT operations, automated controls, IT-dependent manual controls, and cybersecurity.

• Drive scoping and risk assessment of IT components (third‑party applications, internal services/microservices, automations, infrastructure, datasets, notebooks, etc.) that are relevant to ICFR, applying Nubank’s SOx IT scope methodology.

• Perform and review walkthroughs and design assessments for ITGCs, IT-dependent controls, automatic controls, challenging control design, coverage of risks, and evidence quality.

• Plan and execute Tests of Design (ToD) and Tests of Effectiveness (ToE) for IT controls.

• Coordinate remediation and action plans with Engineering, InfoSec, IAM, and business teams, ensuring robust root-cause analysis, sustainable fixes, and timely closure of IT control deficiencies and audit findings.

• Act as primary counterpart for external auditors and Internal Audit on SOx IT topics (scope, methodology, sampling, exceptions, deficiencies), supporting walkthroughs, evidence requests, and technical discussions.

• Contribute to the continuous improvement of SOx IT methodology, templates, and guidelines (e.g., sampling, population completeness, IPE standards, quality review checklists).

• Help design and challenge IT control automation and monitoring (e.g., control bots/Controlinhos, dashboards, alerts) to increase coverage and reduce manual effort and error risk.

• Mentor and support junior analysts on ITGC concepts, testing techniques, documentation standards, and interaction with tech squads, raising the overall quality bar of the team.

• Promote synergy and governance between SOx, Engineering, InfoSec, IAM, Controllership, and other stakeholders through routines, trainings, workshops, and forums focused on IT controls.

Basic Qualifications

• 6+ years of experience in IT Audit, IT Risk, IT Compliance, or SOx IT (e.g., Big 4, internal audit, financial institutions, fintechs, or tech companies).

• Solid knowledge of SOx 404, PCAOB standards, COSO, and main IT control frameworks (e.g., COBIT, NIST), especially as they relate to ICFR.

• Proven hands-on experience with IT General Controls over:

• Logical access (IAM, SSO/IdP, SoD, privileged access, user lifecycle);

• Change management (code review, approvals, segregation of duties, emergency changes);

• IT operations (job processing, interfaces, monitoring, incident/problem management).

• Experience assessing IT controls in cloud and modern architectures (e.g., AWS, microservices, APIs, data platforms, CI/CD pipelines).

• Experience with enterprise/SaaS applications relevant to financial reporting (e.g., ERP such as SAP/Oracle, HR/Payroll, Treasury, core banking/ledger, reconciliation tools).

• Experience evaluating SOC 1 Type 2 reports, complementary user entity controls, and their impact on SOx.

• Strong ability to analyze technical evidence (logs, configurations, scripts, SQL/queries, access listings) and connect it to control objectives and financial risks.

• Excellent skills in structuring and documenting workpapers (narratives, flowcharts, RCMs, ToD/ToE, conclusions) in English.

• Fluent English (written and spoken), able to lead discussions and defend positions with external auditors and global stakeholders.

• Strong communication and organizational skills, and the ability to work independently.

Preferred Qualifications

• Experience working in multicultural teams across different countries and time zones.

• Previous experience in digital bank, fintech, or technology‑driven environments, with exposure to microservices, event‑driven architectures, and DevOps practices.

• Hands-on experience with identity and access management tools (e.g., Okta or similar), cloud platforms (e.g., AWS), and version control/CI-CD tools (e.g., GitHub, pipelines).

• Experience with process and control improvement, including automation, use of data/analytics for testing, or control monitoring solutions.

• Comfort in reading, interpreting, and analyzing data (e.g., SQL, notebooks, dashboards) to support control testing and investigations.

• Previous experience in Big 4 and/or regulated financial institutions.

• Knowledge of business operational processes.
  

Benefits

• Chance of earning equity at Nubank

• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)

• Public Transportation Commuting Benefit (Vale-Transporte)

• NuCare – Psychological, Financial and Legal Assistance Program

• Life Insurance

• Medical Plan

• Dental Plan

• NuLanguage – Language Course Program

• Nucleo - Our learning platform of courses

• Extended Parental Leave

• Daycare Allowance

• Parental Consultancy

• Work-from-home Allowance

• Gym Partnerships

• 30 days of paid vacation

• Relocation Assistance Package, if applicable

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/ 

• You will ensure new customers have an excellent experience by providing technical assistance early in their journey
• You will become an expert on the Databricks Platform and guide customers in making the best technical decisions
• You will work directly with multiple customers concurrently to provide technical solutions.

• Undergraduate degree or higher in Computer Science, Information Systems, or relevant experience
• 3+ years experience in a customer-facing technical role in pre-sales, professional services, consulting or customer success.
• Experience in one or more of the following:
• Solid understanding of the end to end data analytics workflow
• Excellent time management and prioritization skills
• Knowledge of public cloud platforms AWS, Azure or GCP would be a plus
• Knowledge of a programming language - Python, Scala, or SQL
• Knowledge of end-to-end data analytics workflow
• Hands-on professional or academic experience in one or more of the following:
• Data Engineering technologies (e.g., ETL, DBT, Spark, Airflow)
• Data Warehousing technologies (e.g., SQL, Stored Procedures, Redshift, Snowflake)
• Excellent time management and prioritization skills
• Excellent written and verbal communication, in English and Portuguese
• Bonus
  • Knowledge of Data Science and Machine Learning (e.g., build and deploy ML Models).
  • Databricks certification(s)

P-993

Mission 

As a Data & AI Technical Solutions Engineer, you play a critical role by helping customers debug and maintain stable production data pipelines, AI workflows, and more using the Databricks platform.  You will develop product expertise in a couple of areas by advising a broad set of customers and use cases across those technologies.  You will collaborate with other teams at Databricks to deliver an excellent customer experience - whether that’s product engineering teams or technical account team members.  TSE’s have proven production troubleshooting and optimization experience to help our customers’ workloads run smoothly and to achieve their strategic objectives using the Databricks’ platform.  Reporting to a TSE manager - you will be part of a world class global support engineering organization for Databricks, known for your technical depth and delivering impeccable customer service.

The impact you will have:

• Be the first point of contact for customer production issues - provide initial analysis, troubleshooting, and resolution for data engineering and AI workloads. 
• Deep Dive into code-level analysis of customer workloads to address issues related to Databricks products - including Spark core internals, Spark SQL, Delta, DLT, and Model Serving.
• Provide excellent customer support - be knowledgeable and empathetic in customer communications over email and video, act with a sense of urgency to find mitigations and solutions, diffuse escalations during incidents and be proactive at helping prevent future customer problems.   
• Help make the Databricks products simpler to use and customer production environments more stable - such as through coordinating with Engineering and Backline Support teams to identify areas for product improvements. 
• Develop expertise in productionizing systems in Databricks and share your knowledge by contributing to wikis and other technical documentation to be used internally or externally by customers and partners.

What we look for: 

• Minimum of 6 years of experience in designing, building, testing, and maintaining Python/Java/Scala based applications in typical project delivery and consulting environments. 
• Experience with SQL databases or data warehouses (such as Oracle, Teradata, SQL Server, MySQL) and ETL technologies (such as Informatica, DataStage, Talend, Fivetran). 
• 3 years of hands-on experience in developing two or more Big Data technologies such as Spark & Hadoop, Lakehouse architecture - such as Delta, Data Ingestion, Data Streaming applications, or ML/AI applications for industry use cases. 
• Hands-on experience in performance tuning and troubleshooting of Data and AI applications at production scale - including query optimization, memory management, garbage collection, and heap/thread dump analysis. 
• Prior Support or customer facing experience is not required for this role, but the ability and desire to develop excellent customer service skills is.
• Preferrable: Hands-on experience with public cloud (AWS or Azure or GCP).
• Technical degree or the equivalent experience.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page Careers at Nu - Join our team! 

About the Role

At Nu, paid media is one of our most strategic growth investments. As a Media BI Specialist, you’ll be responsible for measuring, analyzing, and explaining the real impact of those investments.

You’ll join the Media team as an analytics-first role, focused on performance measurement, incrementality, and ROI across the full funnel. Your work will connect paid media data with product usage and financial outcomes, helping define official metrics and guide investment decisions.

It’s a measurement and decision-support role, requiring strong analytical depth, ownership of data and dashboards, and the ability to turn complex analyses into clear recommendations for leadership.

Responsibilities

Full-Funnel Performance Analysis & Paid Media Measurement

• Analyze awareness, consideration, and performance campaigns across paid media channels, connecting media metrics to real funnel and business outcomes.
• Evaluate CAC, CPA, ROI, payback, marginal efficiency, and internal KPIs (e.g., BHT) by channel, campaign, audience, and time period.
• Go beyond CTR and CPM to assess true value creation and long-term impact.
• Build and analyze cross-sell and retention cohorts by channel and acquisition period.

Media × Product × Business Integration

• Connect paid media performance with product activation, usage, and revenue generation.
• Partner with product, growth, and finance teams to align marketing metrics with business outcomes.
• Support investment decisions with clear, data-backed insights focused on value and incrementality.

 Awareness & Consideration Measurement (Business-Oriented)

• Measure the impact of top- and mid-funnel campaigns beyond standard media metrics (reach, CPM, CTR).
• Apply internal methodologies, Marketing Mix Modeling (MMM), and incrementality frameworks to assess real business impact.
• Challenge attribution models and assumptions when they fail to explain observed results.

Modeling, Forecasting & Media Planning

• Develop models for:
• Volume, ROI, and investment forecasting
• Budget allocation and scenario simulations
• Support monthly and quarterly media planning with data-driven recommendations.

Experimentation & Incrementality

• Design, structure, and analyze A/B tests, holdouts, and geo experiments.
• Measure the true incremental impact of campaigns, channels, and audiences.
• Inform decisions to scale, optimize, or pause paid media investments.

Data Governance, Audiences & Reporting

• Guarantee consistency, reliability, and trustworthiness of paid media and business data.
• Own the definition of official media and marketing metrics, including internal KPIs such as BHT.
• Be responsible for audience governance, including targeting audiences, control groups, test bases, and exclusions used across media platforms.
• Define standards for dashboards and reporting, ensuring a single source of truth.
• Produce executive-level reports with clear insights and recommendations for senior leadership.

Qualifications

Required

• 5+ years of relevant experience in marketing analytics, growth analytics, media analytics, or similar roles.
• Strong hands-on experience analyzing paid media performance and large-scale marketing investments.
• Proven experience with incrementality, experimentation, and/or attribution models.
• Advanced proficiency in SQL and BI tools (e.g., Looker, Power BI, Tableau).
• Solid experience with cohort analysis, LTV, CAC, ROI, and funnel metrics.
• Strong foundation in applied statistics and experimental design.
• Ability to translate complex analyses into clear, actionable insights for non-technical stakeholders.
• Business-oriented mindset with a critical approach to metrics and hypotheses.
• Proficiency in English.

Nice to Have

• Experience working closely with paid media platforms such as Google, Meta, or similar ecosystems.
• Background in fintech, digital products, or data-driven growth environments.
• Experience influencing budget allocation and investment decisions at scale.

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Hybrid 1week/cycle: Our hybrid work model brings us to the office for one week every cycle, which may vary between one and three months. For more details, visit https://building.nubank.com/nu-hybrid-work-model/ 

Explore how we build technology at Nubank:

🔗 building.nubank.com.br ↗

🎥 youtube.com/@building.nubank ↗

🎧 Listen to our stories on Spotify ↗

A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!

Estamos procurando um Desenvolvedor Java Sênior com experiência em Spring Boot para atuar na construção e manutenção de aplicações backend escaláveis, seguras e de alto desempenho. O profissional fará parte de um time ágil, contribuindo para o desenvolvimento de soluções robustas para nossos clientes.

Principais Atividades:

• Desenvolver e manter APIs e microsserviços utilizando Java + Spring Boot
• Projetar, implementar e otimizar funcionalidades para aplicações backend
• Integrar serviços com bancos de dados SQL e NoSQL
• Participar da definição de arquitetura e boas práticas de desenvolvimento
• Escrever testes unitários e de integração (JUnit, Mockito)
• Realizar code reviews e colaborar com o time para melhoria contínua
• Trabalhar com Docker e Kubernetes para deploy e escalabilidade
• Garantir segurança e desempenho nas aplicações

Requisitos:

• Mais de 7 anos de experiência
• Experiência comprovada em desenvolvimento com Java 8+
• Sólido conhecimento em Spring Framework (Spring Boot, Spring Data, Spring Security)
• Experiência com APIs RESTful
• Familiaridade com JPA/Hibernate
• Experiência com bancos de dados PostgreSQL, MySQL ou MongoDB
• Versionamento com Git
• Conhecimento em mensageria (RabbitMQ, Kafka)
• Experiência com testes automatizados
• Boas práticas de Clean Code e SOLID
• Graduação em TI ou áreas relacionadas
• Inglês avançado/fluente (será avaliado em entrevista) - Eliminatório.

Diferenciais

• Experiência com AWS, Azure ou GCP
• Conhecimento em CI/CD (Jenkins, GitLab CI)
• Experiência com arquitetura de microsserviços
• Conhecimento em ferramentas de infraestrutura como código (Terraform)
• Certificação em Java ou Cloud

Por que a Capco:

Na Capco, promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente! #LifeAtCapco
Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!

Próximos Passos:

O objetivo da Capco é conduzir um processo flexível e alinhado às necessidades de cada oportunidade e talento.

• Etapa 1: Entrevista comportamental.
• Etapa 2: Entrevista técnica.
• Etapa 3: Conversa com time de Projeto/ Delivery.
• Etapa 4: Conversa com cliente.
• Etapa 5: Proposta ou feedback.

As etapas do nosso processo seletivo descritas são essenciais para garantir uma avaliação completa e assertiva. Contudo, elas podem ser ajustadas dependendo da senioridade do(a) candidato(a), da área de atuação e do formato do projeto. 

A WPP Media é o coletivo global de mídia da WPP. Em um mundo onde a mídia está em todo lugar e em tudo, reunimos as melhores plataformas, pessoas e parceiros para criar oportunidades ilimitadas de crescimento. Para mais informações, visite wppmedia.com.

Na WPP Media, acreditamos no poder da nossa cultura e das nossas pessoas. É isso que nos eleva a entregar experiências excepcionais tanto para nossos clientes quanto uns para os outros.

Descubra a EssenceMediacom: Uma agência focada em mídia inovadora que combina o melhor da ciência de dados, tecnologia e criatividade para impulsionar o crescimento de marcas líderes globais. Com uma abordagem centrada no ser humano e um compromisso com a excelência, a EssenceMediacom está redefinindo o futuro da mídia.

Descrição da Vaga

Estamos em busca de uma pessoa Analista de BI Sênior para integrar nosso time e atuar de forma estratégica na intersecção entre dados e mídia. Procuramos alguém com perfil híbrido, unindo sólido conhecimento técnico-analítico com profunda compreensão do ecossistema de publicidade digital. Você atuará com bastante autonomia, liderando a construção de soluções de dados, gerando insights de campanhas globais e sendo uma referência técnica e estratégica para a equipe e nossos clientes.

Responsabilidades e Atribuições: 

● Gestão de Dashboards: Liderar a criação, manutenção e evolução de dashboards e relatórios automatizados complexos (ex.: Looker Studio), garantindo visões executivas e operacionais para monitoramento de KPIs de mídia.
● Tratamento de Dados: Estruturar e liderar a extração, limpeza e cruzamento de dados de diversas plataformas (Google Ads, Meta Ads, etc.) via Adverity e Google BigQuery, garantindo a governança, consistência e confiabilidade dos números.
● Documentação: Definir, estruturar e manter a documentação das arquiteturas de dados, processos de coleta e regras de negócio utilizadas nas relatorias.
● Validação e Acurácia: Desenvolver e manter rotinas de auditoria avançadas para garantir que não haja divergências entre as plataformas de mídia e os relatórios entregues aos clientes.
● Colaboração e Estratégia: Atuar lado a lado com os times de mídia e clientes, não apenas entendendo as necessidades de mensuração, mas conduzindo apresentações de resultados, interpretando o desempenho e sugerindo otimizações acionáveis.
● Apoio à Equipe: Atuar como referência e mentor(a) técnico(a) para analistas juniores e plenos, apoiando na resolução de problemas complexos e elevando a régua analítica do time.

Requisitos e Qualificações (Hard Skills):

● Google Sheets / Excel Intermediário à Avançado: Domínio de manipulação de grandes bases de dados, integrações e funções complexas para análises ágeis de negócio.
● Linguagem SQL e BigQuery: Conhecimento intermediário (ou básico com alto potencial e rápida curva de aprendizado) para construção de consultas, manipulação de dados e cruzamento de tabelas diretamente no banco de dados.
● Forte Contexto de Mídia Digital: Sólida experiência com ferramentas de compra de mídia e profundo entendimento de métricas de Marketing Digital (CPM, CPC, Conversão, ROAS, Atribuição). Capacidade de conectar o comportamento da campanha com os dados.
● Ferramentas de Visualização: Forte experiência prática com ferramentas de Data Viz (Looker Studio preferencialmente, Power BI ou similares) voltadas para relatoria de performance.
● Raciocínio Lógico Estratégico: Capacidade de estruturar problemas não formatados, entender a lógica de "causa e efeito" em cenários multi canais e propor soluções baseadas em dados.
● Inglês Intermediário a Avançado: Capacidade de leitura técnica, escrita e segurança para participar de reuniões e apresentações (muitas ferramentas, documentações e clientes demandam o idioma).

Habilidades Comportamentais (Soft Skills):

● Autonomia e Visão Estratégica: Proatividade para buscar ativamente novas fontes de dados, melhorias de processo e não depender apenas de demandas estruturadas.
● Comunicação Sênior: Excelente articulação para traduzir "dados técnicos" e análises complexas em narrativas claras e persuasivas para lideranças, clientes e times de mídia.
● Organização e Resiliência: Capacidade de gerenciar múltiplas entregas e manter a integridade de dados em um ambiente dinâmico de agência.

Diferenciais (O que brilha os olhos):

● Estudos de Incrementalidade e Mensuração Avançada: Compreensão teórica ou prática de metodologias como Brand Lift Studies (BLS), Conversion Lift (CLS), MMT (conhecido também como Geo-lift) e MMM.
● Automação e uso de IA: Experiências ou cases com uso de IA, seja com automação de alguma tarefa manual ou suporte para conclusão de atividades.
● Programação: Conhecimentos intermediários/avançados em linguagens como Python ou R para análises preditivas, automação de tarefas e modelagem de dados.
● Hands-on em Mídia: Experiência prévia operando diretamente as plataformas (já ter configurado campanhas no Google/Meta).

Aqui, acreditamos no poder das diferenças. Nosso compromisso com a diversidade está no jeito como enxergamos o mundo, nas relações que cultivamos e nas histórias que queremos construir juntos. Valorizamos perspectivas diversas porque elas enriquecem nosso trabalho, nos desafiam a evoluir e nos tornam mais criativos, humanos e justos. Todas as pessoas são bem-vindas no nosso processo seletivo, independentemente de raça, identidade de gênero, orientação sexual, deficiência, origem ou crença.

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/ 

About the Role

At Nu, paid media is one of our most strategic growth investments. As a Media BI Specialist, you’ll be responsible for measuring, analyzing, and explaining the real impact of those investments.

You’ll join the Media team as an analytics-first role, focused on performance measurement, incrementality, and ROI across the full funnel. Your work will connect paid media data with product usage and financial outcomes, helping define official metrics and guide investment decisions.

It’s a measurement and decision-support role, requiring strong analytical depth, ownership of data and dashboards, and the ability to turn complex analyses into clear recommendations for leadership.

You'll be responsible for

Full-Funnel Performance Analysis & Paid Media Measurement

• Analyze awareness, consideration, and performance campaigns across paid media channels, connecting media metrics to real funnel and business outcomes.
• Evaluate CAC, CPA, ROI, payback, marginal efficiency, and internal KPIs (e.g., BHT) by channel, campaign, audience, and time period.
• Go beyond CTR and CPM to assess true value creation and long-term impact.
• Build and analyze cross-sell and retention cohorts by channel and acquisition period.

Media × Product × Business Integration

• Connect paid media performance with product activation, usage, and revenue generation.
• Partner with product, growth, and finance teams to align marketing metrics with business outcomes.
• Support investment decisions with clear, data-backed insights focused on value and incrementality.

 Awareness & Consideration Measurement (Business-Oriented)

• Measure the impact of top- and mid-funnel campaigns beyond standard media metrics (reach, CPM, CTR).
• Apply internal methodologies, Marketing Mix Modeling (MMM), and incrementality frameworks to assess real business impact.
• Challenge attribution models and assumptions when they fail to explain observed results.

Modeling, Forecasting & Media Planning

• Develop models for:
• Volume, ROI, and investment forecasting
• Budget allocation and scenario simulations
• Support monthly and quarterly media planning with data-driven recommendations.

Experimentation & Incrementality

• Design, structure, and analyze A/B tests, holdouts, and geo experiments.
• Measure the true incremental impact of campaigns, channels, and audiences.
• Inform decisions to scale, optimize, or pause paid media investments.

Data Governance, Audiences & Reporting

• Guarantee consistency, reliability, and trustworthiness of paid media and business data.
• Own the definition of official media and marketing metrics, including internal KPIs such as BHT.
• Be responsible for audience governance, including targeting audiences, control groups, test bases, and exclusions used across media platforms.
• Define standards for dashboards and reporting, ensuring a single source of truth.
• Produce executive-level reports with clear insights and recommendations for senior leadership.

We are looking for a person who has

• 5+ years of relevant experience in marketing analytics, growth analytics, media analytics, or similar roles.
• Strong hands-on experience analyzing paid media performance and large-scale marketing investments.
• Proven experience with incrementality, experimentation, and/or attribution models.
• Advanced proficiency in SQL and BI tools (e.g., Looker, Power BI, Tableau).
• Solid experience with cohort analysis, LTV, CAC, ROI, and funnel metrics.
• Strong foundation in applied statistics and experimental design.
• Ability to translate complex analyses into clear, actionable insights for non-technical stakeholders.
• Business-oriented mindset with a critical approach to metrics and hypotheses.
• Proficiency in English.

Nice to Have

• Experience working closely with paid media platforms such as Google, Meta, or similar ecosystems.
• Background in fintech, digital products, or data-driven growth environments.
• Experience influencing budget allocation and investment decisions at scale.

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/ 

Explore how we build technology at Nubank:

🔗 building.nubank.com.br ↗

🎥 youtube.com/@building.nubank ↗

🎧 Listen to our stories on Spotify ↗

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding.  You will play a crucial role in the Xometry platform and everything you do will matter.

Responsibilities:

• At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform
• Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers.
• You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform
• Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform
• Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
• Monitor machine learning models and AI performance and troubleshoot issues as they arise
• Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively

Qualifications:

• Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
• Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
• Successful candidates in this role need to be able to bridge state of the art approaches to real world impact
• A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
• An engineer with a self-driven attitude who can own problems and deliver solutions
• Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
• A cloud practitioner who values the “shift-left” mentality by building systems with Infrastructure as Code, not console clicking
• Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis
• Experience building and consuming CI/CD pipelines
• Someone who knows their way around the command line and has experience working with *nix systems
• 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts
• Strong execution skills in project management

#LI-Remote

Xometry is seeking a Senior Machine Learning Engineer to join our growing organization. The right person will help move our machine learning capabilities to the next level. You’ll be working in an organization where AI is the enabler and center of its core business strategy. You want to be part of a small, intensely skilled team, who feel total ownership of their work, and can’t imagine a day without learning & coding.  You will play a crucial role in the Xometry platform and everything you do will matter.

Responsibilities:

• At Xometry, you will play a crucial role in exploring new machine learning opportunities, researching and performing proof of concepts, and bringing new machine learning and AI solutions into Xometry’s platform
• Develop and implement machine learning models that improve Xometry’s ability to predict cost, price, and sourcing options for our customers and suppliers.
• You will be responsible for leading the evaluation of emerging technologies, identifying areas for improvement, and developing new features while ensuring the reliability and scalability of Xometry’s platform
• Lead the exploration of emerging AI and machine learning technologies and develop proof-of-concepts to assess their potential impact on Xometry’s platform
• Collaborate with cross-functional teams to gather requirements, prioritize features, and define technical solutions based on the latest innovations
• Monitor machine learning models and AI performance and troubleshoot issues as they arise
• Contribute to the documentation and knowledge base to help other teams understand and use Xometry’s AI effectively

Qualifications:

• Experience with state of the art ML modeling techniques and approaches like transformers, self supervised pre-training, generative modeling, LLMs, etc
• Experience with large scale data processing (e.g., Hands-on experience training and applying models at scale using deep learning frameworks like PyTorch or Tensorflow)
• Successful candidates in this role need to be able to bridge state of the art approaches to real world impact
• A cloud-native software craftsperson with hands on experience with containers, container orchestration, and distributed systems
• An engineer with a self-driven attitude who can own problems and deliver solutions
• Strong software fundamentals with experience in design patterns, refactoring, OOP, and testing
• A cloud practitioner who values the “shift-left” mentality by building systems with Infrastructure as Code, not console clicking
• Data’s at the heart of our systems, we hope it's yours too. You’re comfortable working with SQL and/or NoSQL, understand database design, and data analysis
• Experience building and consuming CI/CD pipelines
• Someone who knows their way around the command line and has experience working with *nix systems
• 5+ years working experience in the engineering teams that build large-scale ML-driven user-facing products
• 3+ years experience leading cross-team engineering efforts
• Strong execution skills in project management

#LI-Remote

WHAT YOU'LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping BrazeAI product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: you write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL, and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: you identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: you stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: able to explain complex technical ideas persuasively to both technical and non-technical audiences

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

About the role

At Nubank, protecting customer data is a foundational element of our relationship with over 100 million users. As a Data Security Analytics Engineer, you will be responsible for designing and evolving the secure infrastructure that allows our teams to innovate at scale while maintaining the highest standards of privacy and compliance. You will lead the integration between Data Engineering and Security, ensuring that sensitive data is classified, governed, and monitored across our global analytics environment. Your mission is to balance risk reduction with high usability and performance, ensuring that data security is embedded by design in every pipeline and analytical layer.

You'll be responsible for

• Designing Secure Data Architectures: Independently build and evolve secure data ingestion, transformation, and analytics pipelines that support sensitive and regulated data across all analytics environments.
• Implementing Platform-Level Security: Drive the rollout of improvements such as classification tags, policy-driven access controls, and automated validations to reduce risk without compromising system performance.
• Governing Data Models: Own the design and evolution of data models and semantic views that enforce security and privacy requirements by default.
• Operationalizing Metadata and Lineage: Lead initiatives to track data lineage and sensitivity metadata across critical sources, enabling scalable governance and observability.
• Executing Audits and Remediation: Actively lead access reviews and remediation efforts, identifying gaps in least-privilege enforcement and proposing structural improvements.
• Monitoring and Detection: Design and maintain dashboards, logs, and alerts to detect anomalous data access, misuse patterns, or risky joins across analytics workloads.
• Incident Response and Investigation: Investigate complex access anomalies or security incidents, performing root cause analysis and proposing preventive controls in collaboration with Security Engineering and Data Platform teams.
• Building Internal Tooling: Maintain and develop tooling that enables secure data usage at scale, such as permission helpers and metadata validation frameworks.

We are looking for a person who has

• Data Engineering Expertise: Solid understanding of ETL/ELT fundamentals, data warehouses, and distributed systems such as BigQuery, Databricks, Kafka, or Redshift.
• Security Control Implementation: Strong working knowledge of encryption, masking, tokenization, classification, and fine-grained access control (RBAC/ABAC).
• Advanced Analytical Skills: High proficiency in SQL and experience designing analytical data models with a focus on performance, correctness, and sensitive data handling.
• Production-Grade Programming: Proficiency in writing maintainable and testable code in at least one language, such as Python, Scala, Clojure, or Go.
• Infrastructure and DevOps Knowledge: Familiarity with CI/CD pipelines, Infrastructure as Code, and containerized environments like Docker and Kubernetes.
• Data Observability: Experience in surfacing actionable metrics and logs for security monitoring and incident investigation.
• Strategic Communication: Ability to translate security and regulatory requirements into concrete engineering solutions while engaging with technical and non-technical stakeholders.
• Cloud Proficiency: Exposure to cloud security practices in large-scale environments, specifically AWS or GCP.

Location for this opportunity (City, Country)

• São Paulo, Brazil 
• Campinas, Brazil 
• Rio de Janeiro, Brazil 
• Belo Horizonte, Brazil 

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Option 1: Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/ 

WHAT YOU’LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping BrazeAI's product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

WHAT YOU’LL DO

As our customer base continues to grow with the excitement around BrazeAI, we’re expanding our team! Join our Forward-Deployed Data Scientist group of creative technical experts who partner with customers to ensure their success. In this role, you will:

• Collaborate with customer Analytics/BI teams and Braze colleagues on implementations, including use case definition, data integration, pipeline setup, and ML model configuration
• Extend product capabilities by improving architecture and developing reusable data pipelines, APIs, and components
• Work closely with the RL pipeline development team to refine and advance our reinforcement learning (self-learning) algorithms
• Contribute to shaping BrazeAI's product strategy and roadmap through customer-facing insights and technical expertise
• Provide ongoing technical expertise to ensure successful adoption, measurable outcomes, and long-term customer success

WHO YOU ARE

• Education: Bachelor’s degree in Computer Science, Data Science, Mathematics, Engineering, or a related field required; Master’s or PhD in a relevant technical discipline preferred
• Experience: 3–5+ years of hands-on experience as a Data Scientist, Machine Learning Engineer, or similar role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred
• Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines and model deployment
• Engineering best practices: You write well-structured, modular, documented code; follow strong development practices (Git, CI/CD, testing frameworks, type-hinting, code reviews); and can build scalable, maintainable solutions
• Nice-to-have skills: Experience with DevOps tools (Airflow, Kubernetes, Terraform, GCP), data integration/ETL and pipeline optimization, or reinforcement learning algorithms
• Customer collaborator: Comfortable working directly with clients and cross-functional teams, aligning stakeholders, and translating technical concepts into clear business value
• Entrepreneurial problem-solver: You identify opportunities and risks early, troubleshoot obstacles, and drive creative solutions
• Continuous learner: You stay current with industry trends, explore new tools/technologies, and thrive in environments that push you to grow
• Clear communicator: Able to explain complex technical ideas persuasively to both technical and non-technical audiences

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

Business Analysts at Nubank

As a company at the forefront of the financial revolution in Brazil, Nubank has experienced exponential growth since its inception. To keep your growth path healthy, numerous critical decisions constantly need to be made. Business Analysts are fundamental in the decision process because they must not only be able to deal with large amounts of information and data, but also always think of ways to improve our clients' experience.

It is BA's responsibility to structure the data, analyze it and use the results to test different solutions with the aim of improving Nubank's efficiency.

We are looking for people who are independent and who are not afraid to take the initiative to identify and solve problems that are not necessarily obvious.

You can read more about it in our blog and get some insights into how we work.

As a Business Analyst, you’re expected to:

• Do a lot of investigative work, focused on deciding which data makes the most sense to use in which situation. If you don't have the data, it's your job to think about what tests can be done or how to extract the information you need to answer your questions;
• Support your team in making data-based decisions by monitoring analysis and decisions, ensuring the flow of projects and making the process of taking risks comfortable despite the uncertainties;
• Learning how to work with a large volume of data to build a solid foundation for decision making with calculated risks - even knowing that not all the answers are in the data and/or that not all the data you would like is available;Use tools like SQL, Python and Scala - taught during your first weeks with us - for data extraction;
• Understand our products and interactions with other areas;
• Take advantage of opportunities to grow and learn from a well-prepared and highly qualified team;
• Opportunity to work in a complex, dynamic and diverse environment, participating in projects that will impact a large number of clients.

 What are we looking for?

• Analytical capacity: ease with numbers and calculations, having the ability to solve problems mathematically;
• Business basics: dynamics between risks and opportunities, as well as interaction between business areas and technical areas (products/engineering);
• Problem solving: ease and creativity to seek solutions to day-to-day challenges and achieve the best results;
• Ability to understand how your decisions and work impact our customers' experience, seeking results that align with our purpose;
• Willingness and ease of learning, especially for tools;
• Openness to receive feedback and incorporate it into your daily life and development;
• Adaptability to the multifunctional environment;
• Profiles that add value to Nubank's culture.

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Work Model for this Role

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

About Us

Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page Careers at Nu - Join our team!   

About the role

In this role, you will operate in a highly complex data environment, becoming the go-to expert on finance-related topics (controllership, treasury, credit risk, liquidity, capital, FP&A, etc.) within Internal Audit. You will routinely navigate large-scale, distributed data sources, connect information from multiple domains, and translate it into clear insights for the audit agenda.

As part of the Internal Audit, you will primarily work on audits, while also helping the team strengthen continuous auditing and predictive risk monitoring. This involves using data to identify patterns, outliers, and emerging risks, and then transforming those findings into actionable recommendations.

As products continue to grow within the company, the exposure to regulatory risks increases proportionally. Your pivotal role will be crucial in understanding how Internal Audit can support he company's healthy expansion by providing insights into key risk exposures and mitigation

You'll be responsible for

• Navigate Nubank’s complex data landscape in finance topics, understanding how data is generated, stored, and consumed across different systems (e.g., DataBricks, BigQuery, internal tools), and using this knowledge to design and execute robust audit tests.
• Perform audits on key finance processes (accounting, credit risk, liquidity, capital, treasury, FP&A, etc.), assessing data quality, process effectiveness, and control design/operation.
• Strengthen continuous auditing by proposing and implementing data-driven routines, indicators, and automated tests that allow ongoing monitoring of key risks and controls.
• Act as the Internal Audit ambassador on finance topics, leveraging your understanding of business strategy, regulatory requirements, and emerging challenges.
• Successfully engage stakeholders at all levels of the company, promoting a collaborative and efficient environment.
• Collaborate closely with cross-functional teams to assess and enhance the effectiveness of operations and risk management processes.
• Develop and implement robust audit plans and methodologies tailored to activities.
• Prepare and present clear, concise audit reports to senior leadership, detailing findings, recommendations, and strategic improvements.
• Facilitate data-driven discussions within the Internal Audit team and across diverse business sectors and regions (BR, MX, and CO).
• Drive innovation by leveraging technology for continuous audit testing and help the team shift towards a predictive risk management approach. Check out our blog post: Reinventing Internal
• Audit by Embracing Technology.

We are looking for a person who has

• Strong data literacy and ability to navigate complex data environments.
• Knowledge of SQL/Python or another programming language, and the ability to use them to explore and validate complex data.
• Experience working with large and/or distributed datasets and understanding data structures and flows.
• Project management skills.
• Stakeholder management expertise.
• Proficient in risk management strategies.
• Experience in internal or external auditing, preferably in the financial sector.
• Problem-solving skills, coupled with effective communication and negotiation capabilities.
• Intermediate English.

Our Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Our Nu Way of Working

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. 

Explore how we build technology at Nubank:

🔗 building.nubank.com.br ↗

🎥 youtube.com/@building.nubank ↗

🎧 Listen to our stories on Spotify ↗

A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!

Estamos buscando um(a) Engenheiro(a) sênior com atuação prática (hands-on) para projetar, construir e operar soluções corporativas em Microsoft Fabric (lakehouse) e Power BI voltadas para analytics de marketing e clientes. Responsável pela entrega de ponta a ponta: ingestão e orquestração (Fabric Data Factory), transformações com Spark (PySpark/Spark SQL), modelagem lakehouse no padrão medallion (Bronze/Prata/Ouro), desenho de modelos semânticos e otimização de performance no Power BI. Experiência sólida em ambientes produtivos com cargas incrementais/CDC, validações de qualidade de dados, segurança (RLS), monitoramento/alertas e práticas de implantação Dev/Test/Prod.

Requisitos:

• • Experiência recente com entregas em Microsoft Fabric (Lakehouse, Data Factory, Data Engineering/Spark, Workspaces, Deployment Pipelines)

  • Modelos semânticos no Power BI, DAX, modelagem estrela (star schema) e otimização de performance

  • SQL avançado, PySpark/Spark SQL, Delta/Parquet, particionamento e tuning

  • Domínios de dados de marketing analytics (eventos web/app, campanhas/e-mail/mídia paga, CRM/CDP)

  • Operação em produção: monitoramento, confiabilidade, governança e documentação/runbooks

Desejaveis:

• • 8–12+ anos (perfil sênior, focado em entrega)

  • Forte interação com stakeholders das áreas de Marketing/Growth/Produto

Certificações:

• Microsoft Certified: Fabric Data Engineer Associate (DP-700)
• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified: Power BI Data Analyst Associate (PL-300)
  
• Azure Data Fundamentals (DP-900) - Desejável
• Azure Fundamentals (AZ-900) - Desejável

.

POR QUE CAPCO:

Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. 
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Nossas oportunidades são trabalhadas para todos(as)!
#LifeAtCapco

PRÓXIMOS PASSOS:

• Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!

A Capco é uma consultoria global de tecnologia e negócios, focada no setor de serviços financeiros e energia, somos apaixonados por ajudar nossos clientes, temos 40 escritórios nas Américas, Europa e Ásia-Pacífico! Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!

Estamos buscando um(a) Engenheiro(a) com perfil prático (hands-on) que projeta e entrega um padrão de “hub de dados” no Microsoft Fabric para conectar e integrar dados entre múltiplos workspaces (ex.: marketing → capacitação de vendas), realizar a curadoria desses dados em um Lakehouse e publicar modelos semânticos que suportem relatórios no Power BI — especialmente para dados semiestruturados e não estruturados.

Requisitos:

• • Microsoft Fabric Workspaces (segurança/papéis, organização por domínios)

  • OneLake + shortcuts (vinculação de dados entre workspaces sem duplicação)

  • Fabric Lakehouse (tabelas Delta, padrões de medallion, camadas de curadoria)

  • Notebooks do Fabric (PySpark + Spark SQL) para transformação, enriquecimento e junções de dados

  • Data Factory no Fabric:

    • Pipelines (orquestração, agendamento e monitoramento)

    • Dataflows Gen2 (ingestão e transformação low-code)

  • Modelos semânticos do Power BI (Direct Lake quando aplicável) + conceitos fundamentais de modelagem no Power BI

  • Inglês avançado/fluente

Desejaveis:

• Processamento de dados não estruturados e semiestruturados (parsing de JSON/texto, extração de metadados, engenharia básica de features de NLP)

• Modelagem de dados (esquema estrela, dimensões conformadas, definição de métricas alinhadas a casos de uso de Vendas)

• Fundamentos de DAX (medidas, modelagem com foco em performance para relatórios)

• Governança e padrões de acesso (princípio do menor privilégio, estratégia de compartilhamento entre workspaces, consciência de linhagem de dados)

• CI/CD no Fabric (integração com Git e pipelines de implantação)

• Otimização de performance (estratégias de tamanho/particionamento de arquivos, padrões de otimização de tabelas, estratégias de refresh)

Certificações:

• Microsoft Certified: Fabric Data Engineer Associate (DP-700)
• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600)
• Microsoft Certified: Power BI Data Analyst Associate (PL-300)

.

POR QUE CAPCO:

Na Capco promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. 
Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade interna, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Nossas oportunidades são trabalhadas para todos(as)!
#LifeAtCapco

PRÓXIMOS PASSOS:

• Se você está ansioso(a) para progredir sua carreira conosco, candidate-se e aguarde o contato de um de nossos recrutadores!

About Us

Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building.

Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human.

Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/  

About the team: 

The Credit Risk Squad is part of the 2nd line of Defense, responsible for managing and overseeing the credit risk function of our organization by providing independent oversight and challenge to the first line of defense. As a second line Credit Risk team, we are responsible for creating Expected Credit Losses (ECL) models that are used to calculate loss allowances, making sure the company’s credit risk is managed correctly and efficiently, participating end-to-end in the model development process, including, implementation,monitoring, ensuring operational quality of the data and supporting Finance accounting teams.

About the Role:

As a Credit Risk Specialist  within our Credit Risk Squad (part of the 2nd Line of Defense), you will play a crucial role in supporting Nubank’s world class risk management framework. Your primary focus will be on expected credit loss models development and maintenance, particularly within the retail market portfolios, including credit cards and personal loans. You will contribute significantly to ensuring the company’s credit risk is managed effectively, with a strong emphasis on the universe of credit provisions.

Your key responsibilities will include:

• Developing, implementing, analysing and monitoring risk parameter models (PD, LGD, EAD) relevant to our retail portfolios, ensuring they align with regulations like IFRS9 and 4966. You will be instrumental in making sure we have state of the art models also through activities such as backtesting, data analysis, documentation and operational monitoring.
• Maintaining a strong understanding of relevant local and international regulations concerning provisions and credit risk management, including a surface-level understanding of standards like Bacen 4966 and IFRS9.
• Performing in-depth analysis of credit risk exposure and its implications for expected credit losses (ECL) and loss allowances. This will involve understanding how changes in the credit portfolio impact our provisions.
• Participating in monthly accounting closing activities, contributing to the creation of reports on loss allowance movements.
• Actively contributing to the enhancement of our controls environment within credit risk management. This is crucial for ensuring compliance with regulations such as SOX.
• Liaising with Internal and External Audit teams during model validation processes, ensuring adherence to regulatory requirements and SOX compliance in our operational processes.
• Leveraging your analytical and problem-solving skills to manipulate and learn from data related to the credit portfolio.
• This role requires a strong analytical background, a keen understanding of credit risk principles, and the ability to contribute to a robust and compliant credit risk management framework. Your work will directly impact the accuracy of our financial reporting and the overall stability of our credit operations.

Basic qualifications:

• Bachelor’s degree in Engineering, Economics, Math, Statistics, Physics or related fields
• Analytical, problem solving and passionate to manipulate data in order to learn from it
• Great coding skills (SQL, Python, Scala or other similar programming languages)
• Experience in developing or analyzing outputs of Expected Credit Loss models/PD/EAD/LGD for credit provisioning purposes
• Adaptability to dynamic way of working/short term deliverables

Preferred qualifications

• Advanced or Fluent English
• Experience with SOX controls within risk management environment

Benefits

• Chance of earning equity at Nubank
• Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)
• Public Transportation Commuting Benefit (Vale-Transporte)
• NuCare – Psychological, Financial and Legal Assistance Program
• Life Insurance
• Medical Plan
• Dental Plan
• NuLanguage – Language Course Program
• Nucleo - Our learning platform of courses
• Extended Parental Leave
• Daycare Allowance
• Parental Consultancy
• Work-from-home Allowance
• Gym Partnerships
• 30 days of paid vacation
• Relocation Assistance Package, if applicable

Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/

About Nubank:
Nubank was founded in 2013 to free people from a bureaucratic, slow, and inefficient financial system. Since then, through innovative technology and outstanding customer service, the company has been redefining people's relationships with money across Latin America. With operations in Brazil, Mexico, and Colombia, Nubank is one of the world’s largest digital banking platforms and technology-leading companies.
Today, Nubank is a global company with offices in São Paulo (Brazil), Mexico City (Mexico), Buenos Aires (Argentina), Bogotá (Colombia), Durham (United States), and Berlin (Germany). It was founded in 2013 in Sao Paulo by Colombian David Vélez, and cofounded by Brazilian Cristina Junqueira and American Edward Wible. For more information, visit www.nubank.com.br

About the team:
At Nubank we heavily rely on data, machine learning, and AI to drive our strategy and provide the best experience and products to our customers.The Model Risk team plays a crucial role in ensuring Nubank relies on world-class models that meet business and customer needs, and have associated risks under control. We act by providing effective review & challenge and identifying opportunities to improve our models. We also act by implementing governance and validation standards to control the risk of our models, as well as by establishing feedback loops to constantly improve them.

The position:
This is a senior individual contributor role that will require experience in machine learning and analytics, along with knowledge of Expected Credit Loss and its parameters (PD, EAD, LGD).

You will be responsible for

• Conduct independent reviews of quantitative models based on financial, statistical, and machine learning techniques, with a focus on credit risk provisions and capital
• Provide effective challenge to models and modelling processes, identify risks and engage with other teams to strengthen our decision-making tools and capabilities.
• Develop playbooks and toolkits (e.g., Python, SQL, Scala) to optimize model reviews, ongoing monitoring, and assess the impact of models on decision-making. 
• Contribute to the construction of Nubank's Model Risk Management and Model Review processes with autonomy and creativity. 
• Discuss and report model risk status and receive independent opinions from various stakeholders, including senior managers and regulators.
• Be exposed to models from different countries and regulatory requirements.
• Have a strong understanding of relevant local and international regulations and accounting standards concerning credit provisions, including BACEN 4966 and IFRS9.
• Ensure the team maintains technical excellence and actively contributes to establishing model risk controls and processes that strengthen compliance with regulations.
• Mentor junior staff on best practices for Model Oversight and Validation.
• Work in a multicultural, diverse and highly skilled environment.

We are looking for a person who has 

• Experience developing or validating quantitative and/or machine learning models, with a focus on credit provisions and capital requirements models. 
• Interest in reviewing complex machine learning and other types of models to identify risks and propose enhancements.
• Data Science skills, strong knowledge of machine learning tools and techniques.
• Strong programming skills, desirable previous experience with Python, SQL, GitHub. 
• Ability to learn fast, strong analytical, and problem-solving skills.
• Organized and detail-oriented, without losing track of the big picture.
• English language proficiency.
• Experience in relevant local and international regulations and accounting standards related to credit provisions and capital, such as BACEN 4966, IFRS9, ICAAP.

Benefits:

• Health, dental, and life insurance
• Meal allowance
• Transportation assistance
• 30 days of paid vacation
• Chance of earning equity at Nubank
• Parking partnership - discounted parking in our office
• Free bike parking with showers available
• NuCare - Our mental health and wellness assistance program
• NuLanguage - Our language learning program
• Gympass partnership
• Extended maternity and paternity Leaves  
• Child care allowance
• ‘Espaço Feijão’- Private nursing and breastfeeding spaces in our buildings
• Onsite Health Center - Medical support for every Nubanker in our office

Principais Atividades:

• Desenvolver e manter APIs e microservices com tecnologias modernas.
• Trabalhar com arquitetura de software, garantindo escalabilidade e segurança.
• Atuar com dados e analytics, utilizando ferramentas como SQL, Power BI, Python, Spark e plataformas de Big Data.
• Criar e otimizar soluções em Cloud Computing (AWS, Azure, GCP), com práticas DevOps e CI/CD.
• Participar de times ágeis (Scrum, Kanban) e colaborar em projetos inovadores para grandes empresas

Requisitos:

• 5-6 anos de experiência sólida experiência comprovada em desenvolvimento de software com foco em inteligência artificial;
• Graduação em Ciência da Computação, Engenharia, Matemática ou área relacionada
• Proficiência em Python e experiência com bibliotecas como TensorFlow, PyTorch, Scikit-learn, etc;
• Conhecimento em LLM (Linguagem de Modelagem Lógico) e RAG (Rede Adaptativa Generativa) é altamente desejável;
• Experiência em trabalhar com serviços em nuvem, especialmente AWS;
• Excelentes habilidades de resolução de problemas e capacidade de trabalhar de forma independente e em equipe;
  Inglês intermediário/avançado (possivel atuação com time internacional).

Por que a Capco:

Na Capco, promovemos uma cultura inclusiva. Valorizamos a diversidade em todas as suas expressões. Pensamos, em conjunto, sempre em ações diversas de inclusão e de responsabilidade social através de comitês internos geridos pela nossa comunidade, como os grupo de Mulheres, Pessoas Com Deficiência, Pessoas Negras, LGBTQIAPN+, Parentalidade, Gerações, entre outros. Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente! #LifeAtCapco
Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!

Próximos Passos:

O objetivo da Capco é conduzir um processo flexível e alinhado às necessidades de cada oportunidade e talento.

• Etapa 1: Entrevista comportamental.
• Etapa 2: Entrevista técnica.
• Etapa 3: Conversa com time de Projeto/ Delivery.
• Etapa 4: Conversa com cliente.
• Etapa 5: Proposta ou feedback.

As etapas do nosso processo seletivo descritas são essenciais para garantir uma avaliação completa e assertiva. Contudo, elas podem ser ajustadas dependendo da senioridade do(a) candidato(a), da área de atuação e do formato do projeto.