Data at Brex

Our Scientists and Engineers work together to make data — and insights derived from data — a core asset across Brex. But it's more than just crunching numbers. The Data team at Brex develops infrastructure, statistical models, and products using data. Our work is ingrained in Brex's decision-making process, the efficiency of our operations, our risk management policies, and the unparalleled experience we provide our customers.

What You’ll Do

As a Data Engineer at Brex, you will be a core contributor in transforming raw data into actionable insights for various departments across the organization. You'll collaborate closely with Data Scientists, Software Engineers, and business units to create efficient data models, pipelines, and analytics frameworks that drive the business forward. You also play a leading role in the design, implementation, and maintenance of Core Data tables, our high-quality, curated data source for a wide range of analytic applications. 

Where you’ll work

This role will be based in our Sao Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities:

• Design, build, and maintain data models and pipelines that scale with the growing number of services, products, and changes in the company.
• Collaborate closely with Data Scientists, Data Analysts, and Business teams to understand their data needs, translating them into robust, efficient, scalable data solutions that enable ease of predictive analytics, data analysis, and metrics formulation. 
• Maintain data documentation and definitions, building and ensuring that source-of-truth tables remain high quality for data science and reporting applications. 
• Develop and enable integration with various data sources, allowing for more data-driven initiatives across the company.
• Apply best practices in data management to ensure the reliability and robustness of data utilized across various analytics applications.
• Set and proliferate company-wide standards for data relating to structure, quality, and expectations.
• Act as a liaison between the technical and non-technical teams, bridging gaps and ensuring that data solutions align with business objectives.
• Use agentic AI where it speeds up pipeline and quality work, without skipping validation.

Requirements:

• 3+ years of experience in Data Engineering, Data Analytics, or a related field such as Analytics Engineering.
• Advanced knowledge of databases and SQL with the ability to efficiently stage, process, and transform data.
• Experience integrating and orchestrating data workflows with various modern data tools and systems.
• Experience with data modeling, ETL/ELT processes, and data warehousing solutions.
• Experience working with a data warehouse such as Snowflake.
• Experience with a data workflow orchestrator tool such as Airflow.
• Experience with a programming language such as Python. 
• Experience with agentic AI. 
• Exceptional quantitative and analytical skills.
• Strong communication skills and ability to collaborate with various stakeholders, both technical and non-technical.

Nice to have:

• Familiarity with BI tools such as Looker, Tableau, or similar platforms. 
• Solid dbt in production: models, tests, docs, and collaboration in a shared repo. 
• AI-ready data: Metrics and dimensions are clear and reusable so AI-assisted analysis does not fork definitions. 
• Experience with Salesforce data integration. 

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

Sobre o Grupo QuintoAndar

Somos o Grupo QuintoAndar, o maior ecossistema imobiliário da América Latina. Guiados por um propósito compartilhado de ajudar pessoas a amar o lugar onde moram, contamos com um portfólio diversificado de marcas e soluções, em diferentes países da América Latina, que contemplam todas as fases da jornada do morar e ainda um Hub de Tecnologia em Portugal. Desenvolvemos tecnologias e inovação para transformar e impulsionar a experiência de moradia como um todo.

Com o apoio de uma equipe de classe mundial de investidores e consultores, como Kaszek, Qualcomm, General Atlantic e SoftBank, o Grupo QuintoAndar está atualmente avaliado em mais de US$ 5,1 bilhões e continua a crescer ano após ano.

Aqui você trabalhará com os melhores profissionais do mercado, em um ambiente que respira inovação, colaboração e alto desempenho. Para saber mais sobre a nossa história, acesse https://grupoquintoandar.com/pt/

Por que essa vaga é afirmativa para pessoas com deficiência?

O Grupo QuintoAndar está comprometido com a promoção da Inclusão Social e um dos pilares é a representatividade em nossos times. Acreditamos que através da geração de mais oportunidades e de ações intencionais, avançaremos na construção e fortalecimento da inclusão social em nosso ambiente.

Vale ressaltar que para essa vaga o nosso processo seletivo não sofreu alterações de etapas ou formas de avaliação. Entendemos que o recrutamento é uma porta de entrada para a diversidade, sempre atentos ao que nos torna plurais.

Localização & Trabalho Remoto

Nosso time trabalha no modelo "remote-first", o que significa que estamos trabalhando de casa com a possibilidade de morar em qualquer lugar do Brasil. Também temos a opção de utilizar os escritórios em São Paulo ou utilizar os espaços de coworking de parceiros, ambos até duas vezes por semana.

Etapas do Processo Seletivo

As etapas dos nossos processos seletivos têm como objetivo avaliar suas experiências e oferecer a você a oportunidade de conhecer nossos times e oportunidades de carreira, sendo estruturadas da seguinte forma:

• Triagem;
• Etapa People;
• Teste SQL;
• Etapa Gestão;
• Live Case;
• Etapa com stakeholder;
• Offer.

Sobre a Área

Buscamos pessoas com perfil analítico e mentalidade voltada a dados para integrar nossos times de Negócios e Planejamento e Performance. Esta posição faz parte de um projeto focado em inclusão (PwD) e as oportunidades estão distribuídas em diferentes estruturas de Operações. Seu objetivo principal será transformar dados em estratégia, garantindo que nossas decisões de negócio sejam embasadas em diagnósticos precisos e visão de futuro. Se você gosta de resolver problemas complexos e quer impacto direto no crescimento do negócio, seu lugar é aqui!

Responsabilidades

• Diagnóstico e Insights: Analisar funis de performance e indicadores operacionais para identificar gargalos e oportunidades de otimização.
• Gestão e análise de Dados: Extrair e manipular grandes volumes de dados e gerar análises e insights para suportar a tomada de decisão das lideranças.
• Parceria Estratégica: Atuar de forma consultiva junto aos stakeholders (times comerciais, hunters e lideranças), traduzindo dados técnicos em recomendações de negócio (business sense).
• Acompanhamento de Metas: Monitorar KPIs de performance e garantir a acurácia das informações reportadas.
• Projetos de Melhoria: Apoiar na implementação de novas ferramentas e processos que aumentem a eficiência da área.

Requisitos

• Capacidade Analítica: Raciocínio lógico apurado para estruturar problemas e propor soluções baseadas em dados.
• Conhecimento de Estatística: habilidade para estruturar teste de validação de hipóteses e construir modelos matemáticos
• Domínio de SQL: Conhecimento técnico para extração e transformação de dados (mandatório para a maioria das frentes).
• Visão de Negócio: Habilidade de entender como os indicadores impactam a estratégia da companhia.
• Comunicação: Capacidade de transitar entre o time técnico e o time de negócios, apresentando resultados de forma clara.
• Gestão de Stakeholders: Habilidade de gerenciar expectativas, alinhar prioridades entre diferentes áreas e construir relacionamentos de confiança, garantindo que os projetos de dados gerem valor real para os tomadores de decisão.

Diferencial

• Visualização de Dados: Experiência com ferramentas como Power BI, Looker ou Tableau.
• Inglês: Capacidade de leitura e compreensão de documentos e diretrizes globais/executivas.
• Resolução de Problemas: Experiência prévia em ambientes dinâmicos de alta performance (Ops/Growth).
• Inteligência Artificial (GenAI): Proficiência no uso de ferramentas de IA para aumento de produtividade e resolução de problemas. Conhecimento prático em engenharia de prompt (prompt engineering) e noções das arquiteturas subjacentes aos modelos (ex: entendimento das diferenças e casos de uso de RAG vs. long context windows).

Importante

• O nosso processo seletivo começa na candidatura! Se você está realmente a fim de fazer parte do nosso time, foque nessa etapa do processo. Nós analisamos todos os candidatos individualmente e damos retorno para todas as pessoas que investiram tempo em se candidatar
• Toda comunicação é feita por e-mail, então fique atento às nossas mensagens e libere o domínio @quintoandar.com.br para nossos e-mails não irem parar no spam.

Benefícios

• Salário competitivo
• PLR - Participação nos Lucros e Resultados
• Remuneração variável (Somente para vagas comerciais)
• Vale Refeição e Alimentação 
• Plano de saúde (Sem coparticipação para pessoas com deficiência enquadrados pela lei de cotas)
• Plano odontológico 
• Seguro de vida
• Auxílio creche e Auxílio parentalidade atípica
• Wellhub 
• Auxílio home office
• QuintoCare: Nosso programa de apoio (saúde mental, assistência social, apoio jurídico e financeiro)
• Licença parental estendida
• Dia livre de aniversário, Dia das Mães e Dia dos Pais
• Clube de Benefícios (descontos em serviços do dia a dia)
• Descontos em instituições de ensino
• Kit leiturinha para crianças - Playkids

Diversidade & Inclusão no Grupo QuintoAndar

Valorizamos a diversidade e queremos que todas as pessoas se sintam bem-vindas por aqui — independentemente da sua idade, identidade de gênero, orientação sexual, raça, cor, etnia, origem, deficiência, religião ou qualquer outra característica. Todas as nossas vagas são abertas para todas as pessoas! Você verificará que existem algumas perguntas sobre diversidade no formulário de inscrição. Em vagas afirmativas, as informações poderão ser utilizadas para verificar o seu alinhamento com o público-alvo da oportunidade, podendo, nesses casos, ter caráter eliminatório. Para vagas não afirmativas, esses dados serão utilizados de forma anonimizada, exclusivamente para acompanhar e aprimorar nossas práticas de inclusão nos processos seletivos e sem impacto na sua candidatura.

Privacidade e Proteção a Dados

O Grupo QuintoAndar atua em conformidade com as leis de privacidade e proteção de dados, incluindo, mas não se limitando à Lei Geral de Proteção de Dados Pessoais - LGPD (Lei nº 13.709/2018), e garante a segurança de seus dados pessoais. Para saber mais, acesse o nosso Aviso de Privacidade para Pessoas Candidatas. Se tiver dúvidas ou quiser exercer seus direitos como titular de dados, entre em contato com a gente pelo Canal de Atendimento.

Who we are 

CloudKitchens helps restaurateurs around the world succeed in online food delivery - our goal is to make food more affordable, higher quality and convenient for everyone.

We take underutilized properties and transform them into smart kitchens so they can better serve restaurateurs, customers and the neighborhoods they’re in. Every time we launch a new facility we create jobs in that neighborhood, and we’re proud to provide a wide range of cuisines and options for healthy food at an affordable price.

We're changing the game for restaurateurs, whether they’re entrepreneurs opening their first restaurant all the way through to your favorite global quick-service restaurant chains.

Why We Need This Role

All Google and Meta advertising for LATAM and the US market is managed in-house, and right now there is no dedicated resource to own it day-to-day. Without this hire, campaign performance suffers from a lack of daily optimisation, structured reporting, and creative iteration. This role is business-critical: they will own paid digital across the full LATAM portfolio and the US market, while building the data and reporting infrastructure that is currently missing globally.

What you’ll do

As Digital Marketing Specialist for LATAM, you will be the primary executor of paid digital channels across Brazil, Chile, Peru and the US market. You will run campaigns across Google Ads and Meta day-to-day, support creative briefing and monthly ad creative cycles, and build dashboards to give leadership clear visibility of marketing performance. A data-first approach is central to this role, you will be expected to test continuously, draw real insights from performance data, and make decisions that improve results over time. This is a hands-on role ideal for someone early in their career who is hungry to own channels, grow fast, and make a measurable impact.

• Plan, execute and optimise Google Ads campaigns across LATAM and the US market, Search, Display, Performance Max and YouTube
• Plan, execute and optimise Meta Ads campaigns across LATAM and the US market, Facebook and Instagram, including retargeting and prospecting funnels
• Manage monthly Meta ad creative refresh cycles in collaboration with the APAC Creative Content Executive and internal teams
• Build and maintain Google Looker Studio dashboards, weekly high-level snapshots and monthly performance summaries for the Head of Marketing
• Maintain a clean data management framework, naming conventions, UTM taxonomy, and campaign tagging across all accounts
• Support SEO and website performance for LATAM, updating landing pages in Prismic, tracking organic metrics, and implementing on-page improvements
• Run structured A/B tests on ad copy, creative, audiences and landing pages, acting on real data in a continuous improvement cycle

What we’re looking for

• 2–3 years of hands-on paid media experience, with demonstrable results managing Google Ads and Meta Ads
• Strong analytical and data-driven mindset, uses real performance insights to test hypotheses, identify what's working, and make continuous improvements
• Fluent English is required. Spanish or Portuguese required, fluency in all three languages is a strong advantage
• Experience managing or supporting advertising budgets across multiple campaigns
• Good copywriting skills for ad copy, concise, conversion-focused, in Spanish and/or Portuguese
• Familiarity with SEO principles and website performance, able to support optimisations and interpret organic data
• Comfortable building reports and dashboards in Google Looker Studio or equivalent
• Familiarity with B2B marketing is a plus, F&B or hospitality sector experience welcome but not required
• Google Ads certified or actively working toward certification
• Meta Blueprint certification or equivalent demonstrated expertise

Strong attention to detail and ability to manage multiple campaigns simultaneously in a lean, self-sufficient team

Nice to Have

• Experience with LinkedIn Ads and ABM (Account-Based Marketing) campaign strategy
• Experience working for a hospitality tech, co-working, or multi-location F&B brand
• Familiarity with CRM platforms and lead tracking (HubSpot, Salesforce or similar)
• Basic design skills or experience briefing creative for paid social

Why join us

• Demand for online food delivery is growing really fast! In the last 5 years, just in the US, the overall market has expanded 10X from $10B to $100B, and could expand to $500bn- $1T by 2030.
• Changing the restaurant industry: You’ll be part of a team that helps restaurants succeed in online food delivery.
• Collaborative environment: You will receive support and guidance from experienced colleagues and managers, helping you to learn, grow, and achieve your goals, and you’ll work closely with other teams to ensure our customers’ success.
  
  

What else you need to know

This role is based in our Sao Paulo office. As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. That’s why all of our office-based teams work onsite, five days a week.

Ready to join us as we serve those who serve others? 

#LI-Onsite

Sobre o Grupo QuintoAndar

Somos o Grupo QuintoAndar, o maior ecossistema imobiliário da América Latina. Guiados por um propósito compartilhado de ajudar pessoas a amar o lugar onde moram, contamos com um portfólio diversificado de marcas e soluções, em diferentes países da América Latina, que contemplam todas as fases da jornada do morar e ainda um Hub de Tecnologia em Portugal. Desenvolvemos tecnologias e inovação para transformar e impulsionar a experiência de moradia como um todo.

Com o apoio de uma equipe de classe mundial de investidores e consultores, como Kaszek, Qualcomm, General Atlantic e SoftBank, o Grupo QuintoAndar está atualmente avaliado em mais de US$ 5,1 bilhões e continua a crescer ano após ano.

Aqui você trabalhará com os melhores profissionais do mercado, em um ambiente que respira inovação, colaboração e alto desempenho. Para saber mais sobre a nossa história, acesse https://grupoquintoandar.com/pt/ 

Por que essa vaga é afirmativa para pessoas com deficiência?

O Grupo QuintoAndar está comprometido com a promoção da Inclusão Social e um dos pilares é a representatividade em nossos times. Acreditamos que através da geração de mais oportunidades e de ações intencionais, avançaremos na construção e fortalecimento da inclusão social em nosso ambiente.

Vale ressaltar que para essa vaga o nosso processo seletivo não sofreu alterações de etapas ou formas de avaliação. Entendemos que o recrutamento é uma porta de entrada para a diversidade, sempre atentos ao que nos torna plurais.

Localização & Modelo de Trabalho Híbrido

Nosso time de Operações trabalha com o modelo “híbrido”, sendo necessário estar presencialmente no escritório, localizado na Vila Madalena em alguns dias específicos de reuniões ou eventos do time, alinhados antecipadamente com a liderança. 

Etapas do Processo Seletivo

As etapas dos nossos processos seletivos têm como objetivo avaliar suas experiências e oferecer a você a oportunidade de conhecer nossos times e oportunidades de carreira, sendo estruturadas da seguinte forma:

• Aplicação & triagem
• Entrevista com recrutadora
• Desafio técnico/ estudo de caso
• Entrevista com liderança
• Entrevista com stakeholder
• Oferta

Sobre a Área

Buscamos uma pessoa Analista de Performance Sênior para atuar como referência analítica estratégica em direcionamentos executivos na estrutura de Pós Contrato. A área trabalha de forma transversal com os times de Operações, Projetos e Performance, identificando gargalos operacionais e oportunidades no negócio que impactam diretamente no crescimento da companhia.

Nessa posição, você será o ponto focal para investigações complexas e apoiará de forma especializada projetos de inovação, incluindo implementações de Inteligência Artificial e parcerias estratégicas. O objetivo fundamental é assegurar que as operações sejam geridas com base em evidências, métricas de precisão e recomendações de alto valor agregado.

Responsabilidades

• Análise Consultiva & Analytics: Conduzir investigações aprofundadas sobre indicadores operacionais, identificando desvios e validando hipóteses para otimizar os processos de reparos.
• Suporte a Iniciativas Estratégicas: Atuar como principal apoio técnico em projetos de alta complexidade, como a implementação de ferramentas de IA e o acompanhamento de novos pilotos operacionais.
• Gestão de Stakeholders: Estabelecer interface direta e consultiva com os times de Operações, Projetos e Performance, assegurando o alinhamento de prioridades com elevada autonomia e proatividade, sem a necessidade de supervisão constante.
• Reporte Executivo: Elaborar relatórios e conduzir apresentações em fóruns com lideranças seniores, garantindo clareza e objetividade na comunicação.
• Arquitetura de Dados Operacionais: Estruturar e manipular grandes volumes de dados via SQL para a criação de ecossistemas de análise e visualização (dashboards) que fundamentam a tomada de decisão.

Requisitos

• Sólida Proficiência Técnica: Domínio avançado de SQL para extração e tratamento de bases de dados complexas.
• Sistemas de Visualização: Experiência consistente com ferramentas de Business Intelligence (Power BI, Looker Studio, Superset ou equivalentes).
• Resolução de Problemas: Capacidade analítica para decompor desafios de negócio em hipóteses mensuráveis e soluções escaláveis.
• Comunicação Executiva: Habilidade de síntese para traduzir dados técnicos em narrativas estratégicas para diversos níveis de senioridade.
• Idiomas: Inglês em nível intermediário/avançado, com foco na produção de reportes escritos.
• Trajetória Profissional: Experiência prévia em funções de alta senioridade em áreas de performance, planejamento estratégico, dados ou BI.

Diferenciais

• Conhecimento em linguagem Python aplicada à análise estatística de dados.
• Experiência no setor imobiliário ou em operações de grande escala voltadas ao Customer Experience (CX).

Importante

• O nosso processo seletivo começa na candidatura! Se você está realmente a fim de fazer parte do nosso time, foque nessa etapa do processo. Nós analisamos todos os candidatos individualmente e damos retorno para todas as pessoas que investiram tempo em se candidatar
• Toda comunicação é feita por e-mail, então fique atento às nossas mensagens e libere o domínio @quintoandar.com.br para nossos e-mails não irem parar no spam.

Benefícios

• Salário competitivo
• PLR - Participação nos Lucros e Resultados
• Remuneração variável (Somente para vagas comerciais)
• Vale Refeição e Alimentação 
• Plano de saúde
• Plano odontológico 
• Seguro de vida
• Auxílio creche e Auxílio parentalidade atípica
• Wellhub 
• Auxílio home office
• QuintoCare: Nosso programa de apoio (saúde mental, assistência social, apoio jurídico e financeiro)
• Licença parental estendida
• Dia livre de aniversário, Dia das Mães e Dia dos Pais
• Clube de Benefícios (descontos em serviços do dia a dia)
• Descontos em instituições de ensino
• Kit leiturinha para crianças - Playkids

Diversidade & Inclusão no Grupo QuintoAndar

Valorizamos a diversidade e queremos que todas as pessoas se sintam bem-vindas por aqui — independentemente da sua idade, identidade de gênero, orientação sexual, raça, cor, etnia, origem, deficiência, religião ou qualquer outra característica. Todas as nossas vagas são abertas para todas as pessoas! Você verificará que existem algumas perguntas sobre diversidade no formulário de inscrição. Em vagas afirmativas, as informações poderão ser utilizadas para verificar o seu alinhamento com o público-alvo da oportunidade, podendo, nesses casos, ter caráter eliminatório. Para vagas não afirmativas, esses dados serão utilizados de forma anonimizada, exclusivamente para acompanhar e aprimorar nossas práticas de inclusão nos processos seletivos e sem impacto na sua candidatura.

Privacidade e Proteção a Dados

O Grupo QuintoAndar atua em conformidade com as leis de privacidade e proteção de dados, incluindo, mas não se limitando à Lei Geral de Proteção de Dados Pessoais - LGPD (Lei nº 13.709/2018), e garante a segurança de seus dados pessoais. Para saber mais, acesse o nosso Aviso de Privacidade para Pessoas Candidatas. Se tiver dúvidas ou quiser exercer seus direitos como titular de dados, entre em contato com a gente pelo Canal de Atendimento.

***Proficiency in spoken and written English at an advanced level is required for this role.

A day in the life:

As a Senior Account Director, you’ll be responsible for working with clients in the Healthcare division. You will have a broad and varied background with hands-on experience across many digital marketing channels and tools. This role will work to drive performance through integrated marketing tactics across paid, owned and earned channels. As a seasoned business consultant, the Senior Account Director will guide and counsel clients on how marketing tactics can drive business outcomes. The Senior Account Director will manage direct reports and lead cross-functional account teams of highly-talented marketers by working closely to optimize their efforts and provide strategic guidance. In collaboration with Account Managers, they will spearhead service expansions, manage media, craft testing roadmaps and lead tactical pivots when necessary. Additionally, you will demonstrate exceptional leadership by gaining trust and providing unmatched strategic insight to their cross-functional account teams. Within the Client Services department, the Senior Account Director will also be responsible for leading key initiatives within the team such as talent acquisition, training or product quality. This is an exciting role for a seasoned digital marketer seeking an opportunity to lead innovative, growth-oriented  marketing campaigns.

Responsibilities:

• Client-centric Communication: Establishes a strong relationship with client key decision makers by hosting monthly one-on-one check-ins to review holistic business performance, gauge sentiment, solicit feedback and share additional opportunities to support the business goals
• Marketing Strategy: Leads the cross-functional account teams with a comprehensive strategy across paid, owned and earned channels to meet or exceed client business objectives; Demonstrates proficiency in cross-channel media planning and testing roadmaps, including the connection of a client’s product, audience and media
• Client Performance & Results: Ensures that at least 75% of their client roster is hitting their goals/forecast targets within the partnership.
• Data-driven Insights: Leverages data and analytics, such as first-party data tools like Google Analytics and Looker Studio, to identify strategic opportunities; Translates learnings into clear and concise reporting with actionable next steps
• Measurement Frameworks: Uses overlapping datasets to find the truth and make better marketing decisions; Prioritizes business metrics to guide strategy and budgets; Leverages platform or attribution metrics to inform tactical daily optimizations; Uses incrementality to validate when needed
• Team Coaching and Development: Leads by example and practices servant leadership; Delivers timely, specific feedback to team members to up-level business acumen and connect the marketing objectives to business objectives
• Existing Account Manager Support: Shadows and provides coaching and feedback to new hires within the first 90 days and/or existing Account Managers to ensure high product quality and assist in coaching any skill gaps
• Client Portfolio: Manages a diverse set of clients totaling with specific target monthly recurring revenue
• Client Retention: Leads the contract renewal strategy by following the established client renewal process and timelines.  Takes a proactive approach to the process, beginning at least 90 days in advance of the contract expiration date by preparing the  presentation and proposal development alongside the Account Manager to extend client partnerships.  Reviews and analyzes client contracts on a regular basis to ensure goals are on target
• Service Expansions: Works with the Account Manager and the internal account team to identify additional strategies to improve performance and expand client partnerships. 
• Own the strategic coaching and development of Account Managers and Resource Team leads, ensuring teams can independently connect channel execution to client business outcomes and confidently lead client conversations
• Elevate client-facing excellence across accounts, coaching teams on storytelling, executive presence, and emotional intelligence to deliver clear, polished recommendations
• Scale team capability and consistency, developing AMs as strategic leaders, reinforcing shared expectations across accounts, and balancing client demands with team capacity to drive sustainable performance.
• Department Operations: Plays an active role in supporting key department initiatives such as recruitment, staffing, training, onboarding and more
• Specialty Focus Area: Identifies a focus area within the department that aligns with the individual’s skill set; Creates a roadmap alongside the Account Manager to enhance and optimize that focus area (e.g., Training, Reporting, Talent Acquisition)
• Responsible for other tasks and projects as assigned by Client Services department leadership, as needed
• Employ AI technologies to enhance and optimize business processes

Role Requirements:

• Bachelor's Degree in Marketing, Communication or related discipline
• 10+ years cross-channel digital marketing experience, including: strategic planning, consumer insights, digital integration and client services, ideally in a digital or media agency
• Proven track record of delivering high customer satisfaction scores through NPS or similar retention metrics
• Strong understanding of paid media, particularly Google Ads and Meta Ads
• Working knowledge of SEO, Analytics, and Creative workflows and deliverables
• Experience speaking to business-level metrics such as LTV:CAC, ROAS, etc.
• Proficiency in establishing goals for clients and validating forecast scenarios to show a path to goal
• Campaign leadership skills for end-to-end campaign development including strategy, segmentation, targeting, etc. in a multi-channel environment
• Ability to quickly build rapport and develop relationships with executive-level points of contact
• Desire to work in a role that functions as both a marketing consultant and a business consultant for clients
• Highly dependable individual who thrives in a fast-paced environment and is a self-starter; Emanates high energy and a positive attitude
• Entrepreneurial spirit with a passion for problem-solving, continued learning and personal growth

Key Performance Indicators (KPIs)

• Division ETCR or Expansion to Churn Ratio (as established quarterly)
• Division Team Retention Rate of 90%+
• Client Retention Rate of Book of 96%+
• Deliverable timeliness: 95% on time delivery
• NPS for Account Director Portfolio (8 or above)
• MRR: $100k+ monthly revenue

Most Important Things (MITs)

• Team Coaching and Development
• Marketing Strategy, Development and Execution
• Client Retention and Client Revenue Growth

Benefits & Perks:

• Base salary paid in USD + commission opportunities
• Unlimited Time Off available on day one
• Fully flex work environment: full-remote, in-office, or hybrid
• Healthcare stipend: $50/month to support your healthcare or insurance costs
• National Holidays + 2 Mental Health Recharge Days per year
• Unlimited opportunities for growth & leadership within a rapidly growing firm
• Ongoing employee development programs for personal and professional growth (Hedgehog and Vital 5s)
• Quarterly awards including prize money and recognition for outstanding performance
• Opportunities to be involved in company DEI initiatives

Overview

We are looking for a highly analytical Senior specialist, FP&A who thrives at the intersection of Corporate Finance, Strategic Analysis, and Data Engineering. In this role, you will report numbers and will be the strategic voice that interprets them.

You will bridge the gap between complex financial processes and executive decision-making. Your mission is to maintain a robust global financial data pipeline while providing deep-dive analyses that help stakeholders understand the "why" behind the results.

Key Responsibilities

• Strategic Reporting & Analysis: Lead the month-end closing analysis, providing clear commentary on variances (Actuals vs. Budget/Forecast). You will transform raw data into executive-level reports that highlight trends, risks, and opportunities for the NAMER and Global regions.
• Stakeholder Management: Act as a key finance partner for Regional Directors and Department Heads. You will translate complex technical logic and financial data into actionable insights, helping non-finance leaders manage their budgets and headcount effectively.
• P&L Architecture & Profitability: Build and optimize multi-dimensional P&L reporting. You will analyze profitability down to the Client and Departmental level, ensuring that global allocations and intercompany markups are both accurate and strategically aligned.
• Systems Integration & Automation: Develop and maintain API connections (Workday, Salesforce, Greenhouse) to automate data flow. 
• Data Ingestion & SQL Modeling: Architect complex SQL queries within BigQuery to consolidate global data. You will ensure that the "Actuals vs. Forecast" reconciliations are seamless and require minimal manual intervention.
• Process Integrity & Governance: Act as the final gatekeeper for data accuracy. You will identify logic errors or "noise" in financial models before they reach executive reviews, ensuring 100% confidence in the numbers presented to the CFO.

Technical & Professional Requirements

• Finance Foundations: Advanced understanding of P&L structures, Budgeting/Forecasting cycles, and the nuances between Management and Statutory reporting.
• Data Engineering & Scripting: Proficiency in SQL (BigQuery) is essential. Experience with Python or Javascript/Apps Script for API handling and workflow automation is highly valued.
• BI & Visualization: Proven track record of designing executive dashboards in Looker Studio (or similar) that drive strategic decision-making.
• Systems Expertise: Familiarity with ERPs (Netsuite/Lucanet) and CRM/HRIS tools (Salesforce, Workday, Greenhouse).
• Advanced English.

Brazil, Londrina

At Platform Science, we’re working to connect everything that moves.

Founded in 2015, we are an open IoT platform that partners with innovative fleets, application developers, vehicle manufacturers, and equipment providers in the transportation industry to deliver revolutionary solutions to supply chain professionals across the globe.

Our employees are an engaging, diverse group of people who believe in the power of great ideas. We hire people with different experiences and perspectives to build a company culture that fuels growth through innovation.

We value thoughtful actions and empathy for others. We approach challenges with resiliency and creativity, while encouraging transparency because, no matter our backgrounds or responsibilities, we are one team.

What You’ll Do:

• Leverage our modern data stack (dbt, Snowflake, Looker, PowerBI) in order to identify, analyze, and interpret trends or patterns in complex data sets to enable business-critical decisions
• Work closely with our product and engineering teams to define, build, and analyze meaningful KPIs for our applications and systems
• Apply your expertise in quantitative analysis, data visualization and data-mining to create data alerts and derive actionable insights
• Filter, clean, and transform data from a variety of sources in order to enable analysis
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities

What We’re Looking For:

• 3+ years of experience as a data analyst 
• 3+ years of experience with reporting and visualization tools such as Looker, Domo, PowerBI, SSRS, etc
• Advanced SQL skills including multiple-table joins, unions, sub-queries, CTE, aggregations, temporary tables, and analytical functions
• Technical expertise regarding all things data, including: mining, modeling, transforming, cleansing, and validating
• Ability to take vague requests and transform them into concise deliverables
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy

What Would Be Great:

• Advanced knowledge of statistics and experience using statistical packages for analyzing datasets (Python, numpy, pandas, R, Excel, etc.)
• Excellent communication skills, both verbal and written
• BS in Mathematics, Economics, Computer Science, Information Management, Statistics or equivalent experience
• Intermediate to advanced knowledge of Python
• Expertise with Looker
• Experience with Data Build Tool (dbt)
• Experience with embedded analytics solutions

About the Team

The Analytics team is looking for experienced Data Scientists to guide measurement, strategy, and tactical decision-making across the company across a variety of teams and levels. Data Scientists at DoorDash work to uncover insights and turn them into relevant recommendations, driving decisions for the entire organization. Analytics is integral to all operational areas at DoorDash.

Please apply here for all non-managerial levels within the following analytics teams:

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant, Ads & Sales
• New Verticals
• International Data Science

About the Role

As a Data Scientist at DoorDash, you'll use your quantitative background to mentor other scientists and dive into large datasets to guide decision-making. We solve a multitude of exciting challenges including customer acquisition, fraud and support, marketing, balancing supply and demand, new city launches, marketplace efficiency, and more. If you enjoy finding patterns amidst chaos, and have experience using analytics to affect revenue, growth, operations or beyond, we're looking for someone like you!

You're excited about this opportunity because you will…

• Use quantitative analysis and the presentation of data to see beyond the numbers and understand what drives our business
• Build full-cycle analytics experiments, reports, and dashboards using SQL, R, Python, or other scripting and statistical tools
• Work with and mentor junior analysts on how to use more advanced methods and solve challenges
• Produce recommendations and use statistical techniques and hypothesis testing to validate your findings
• Provide insights to help business and product leaders understand marketplace dynamics, user behaviors, and long-term trends
• Identify and measure levers to help move essential metrics and make recommendations
• Work backwards from understanding and sizing problems to ideating solutions
• Report against our goals by identifying essential metrics and building executive-facing dashboards to track progress
• Collaborate with engineering to implement, document, validate, and monitor our logging

We're excited about you because you have…

• A degree in Math, Physics, Statistics, Economics, Computer Science, or a similar domain
• 2+ years of experience in data analytics, consulting, or related role
• Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, regression models, etc
• Expertise of SQL queries, ETL, A/B Testing, and statistical analysis (e.g. hypothesis testing, experimentation, regressions) with statistical packages, such as Matlab, R, SAS or Python
• Proficiency in one or more analytics & visualization tools (e.g. Chartio, Looker, Tableau)
• The insight to take ambiguous problems and solve them in a structured, hypothesis-driven, data-supported way
• Are able to work in our office in São Paulo, Brazil

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Engineering the future of logistics – from Brazil to the world

DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.

Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

**Interviews will be conducted in English**

We’re excited about you because…

• 2+ years of professional experience
• 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
• 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

Please apply here for all non-managerial levels within the following analytics teams:

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant
• Ads & Promotions 
• New Verticals

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and are comfortable being deeply embedded across several domains, this role is for you!

You're excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self-serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization

**Interviews will be conducted in English**

We're excited about you because you have…

• 2-6+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Experience in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Strong communication skills and experience working with technical and non-technical teams
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• Are able to work in a hybrid model in our office in São Paulo, Brazil

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

About the Team

The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making across business teams and drive efficiency in our operations. Data is fundamental to DoorDash’s success, and this team plays a critical role in enabling high-impact, data-driven solutions across Product, Operations, Finance, and more.

Please apply here for all non-managerial levels within the following analytics teams:

• Consumer & Growth
• Business Operations
• Dasher & Logistics
• Customer Experience & Integrity
• Merchant
• Ads & Promotions 
• New Verticals

About the Role

As an Analytics Engineer, you’ll play a key role in building and scaling the data foundations that enable fast, reliable, and actionable insights. You’ll work closely with partner teams to drive end-to-end analytics initiatives, working alongside Data Engineers, Data Scientists, Software Engineers, Product Managers, and Operators.

This is a highly technical role where you'll be a driving force behind the analytics stack, delivering trusted data and metrics that support decision-making at all levels of the company. If you're energized by solving technical problems with data and are comfortable being deeply embedded across several domains, this role is for you!

You're excited about this opportunity because you will…

• Collaborate with data scientists, data engineers, and business stakeholders to understand business needs, and translate that scope into data requirements
• Identify key business questions and problems to solve for, and generate insights by developing structured solutions to resolve them
• Lead the development of data products and self-serve tools that enable analytics to scale across the company
• Build and maintain canonical datasets by developing high-volume, reliable ETL/ELT pipelines using data lake and data warehousing concepts
• Design metrics and data visualizations with dashboarding tools like Tableau, Sigma, and Mode
• Be a cross-functional champion at upholding high data integrity standards to increase reusability, readability and standardization

**Interviews will be conducted in English**

We're excited about you because you have…

• 2-6+ years of experience working in business intelligence, analytics engineering, data engineering, or a similar role
• Strong proficiency in SQL for data transformation, comfort in at least one functional/OOP language such as Python or Scala
• Experience in creating compelling reporting and data visualization solutions using dashboarding tools (e.g., Looker, Tableau, Sigma)
• Familiarity with database fundamentals (e.g. S3, Trino, Hive, Spark), and experience with SQL performance tuning
• Experience in writing data quality checks to validate data integrity (e.g., Pydeequ, Great Expectations)
• Strong communication skills and experience working with technical and non-technical teams
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• Are able to work in a hybrid model in our office in São Paulo, Brazil

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Engineering the future of logistics – from Brazil to the world

This role is part of our commitment to increase the representation of women in technology at DoorDash Brazil. We strongly encourage candidates who identify as women to apply.

We are building an engineering team where women have equitable access to opportunity, leadership, and long-term career growth within our São Paulo hub.

DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.

Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

**Interviews will be conducted in English**

We’re excited about you because…

• 2+ years of professional experience
• 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
• 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

Engineering the future of logistics – from Brazil to the world

This position is dedicated to professionals with disabilities (PCD), in accordance with Brazilian Law No. 8.213/91 (Lei de Cotas).

At DoorDash, we believe diverse teams build better products. We are committed to providing an accessible, inclusive workplace with equal opportunities for all.

Reasonable accommodations are available throughout the hiring process and in the work environment. If you require any accommodation, please inform your recruiter at the beginning of the process.

Medical documentation may be requested in accordance with applicable legislation.

DoorDash is building the world’s most reliable on-demand logistics platform. Brazil is a strategic and growing engineering hub for DoorDash. Based in São Paulo, our teams build and scale systems that power millions of users globally. This is an opportunity to shape world-class logistics technology while growing your career in Brazil.This is a unique opportunity to join one of Silicon Valley’s fastest-growing companies, while staying close to home.

Data is at the foundation of DoorDash's success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. By implementing pipelines, data structures, and data warehouse architectures; this team serves as the foundation for decision-making at DoorDash.

We're looking for a Data Engineer to be a technical powerhouse to help us scale our data infrastructure, automation and tools to meet growing business needs.

You’re excited about this opportunity because you will…

• Work with business partners and stakeholders to understand data requirements
• Work with engineering, product teams and 3rd parties to collect required data
• Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
• Develop and implement data quality checks, conduct QA and implement monitoring routines Improve the reliability and scalability of our ETL processes
• Manage a portfolio of data products that deliver high-quality, trustworthy data
• Help onboard and support other engineers as they join the team

**Interviews will be conducted in English**

We’re excited about you because…

• 2+ years of professional experience
• 2+ years experience working in data engineering, business intelligence, or a similar role Proficiency in programming languages such as Python/Java
• 2+ years of experience in ETL orchestration and workflow management tools like Airflow, Flink, Oozie and Azkaban using AWS/GCP
• Expert in Database fundamentals, SQL and distributed computing
• 2+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Druid, Presto) and streaming technologies such as Kafka/Flink.
• Experience working with Snowflake, Redshift, PostgreSQL and/or other DBMS platforms Excellent communication skills and experience working with technical and non-technical teams Knowledge of reporting tools such as Tableau, Superset and Looker
• Comfortable working in fast paced environment, self starter and self organizing
• Ability to think strategically, analyze and interpret market and consumer information
• You must be located near one of our engineering hubs indicated above

Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.

The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey

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.

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

Your wellbeing, our mission. Join a company shaping a healthier world.

GET TO KNOW US

At Wellhub we're revolutionizing workplace wellness. Our platform connects employees worldwide to the best partners for fitness, mindfulness, therapy, nutrition, and sleep—all in one simple subscription. Headquartered in NYC with team members in Europe, North America and South America, we’re on a mission to make every company a wellness company.

We believe work should be fulfilling, inspiring, and balanced. Here, you’ll find a team that values wellbeing, collaboration, and different perspectives, where passion and creativity push boundaries to create real impact. Your contributions will help shape a healthier, more balanced world for you and millions of people globally. 

Join us in redefining the future of wellbeing!

THE OPPORTUNITY

We are hiring a Partner Acquisition Channel Sr Manager to our Partners team in São Paulo! 

We are seeking a senior professional focused on Technology Partnerships and Integrations to manage the ecosystem of Management Systems (CMS) in Brazil. You will be responsible for leading the end-to-end integration strategy, ensuring technology adoption by Wellhub’s partner gyms. In addition to managing high-level relationships with C-level executives from leading fitness software companies, this role requires leading data-driven projects, optimizing technical onboarding, and expanding indirect channels to reduce operational friction and unlock new business value. 

YOUR IMPACT

• Integration Strategy & Adoption: Lead the execution of integration OKRs in Brazil. Map and manage the entire partner technology journey (Not Mapped, Recommendation, Activation, Adoption), creating data-driven action plans to increase conversion at every stage.
• CMS Ecosystem Management: Act as the primary point of contact and negotiator with C-level executives (CEOs, CTOs, CROs) of the market's main management systems (e.g., Evo, Pacto, NextFit, Tecnofit, etc.). Lead the partnership process for new CMS providers—from initial engagement, negotiation, and signing of API Agreements to ongoing technical onboarding support and troubleshooting.
• Strategic Project Leadership: Structure and lead projects that unlock mutual value, such as integrating financial and reconciliation data between the Partner Portal and CMS providers. Conduct analyses and alignments regarding incrementality and cannibalization reports.
• Intelligence & Data: Continuously monitor integration performance using BI tools (e.g., Looker). Develop detailed analyses by executive and partner engagement level, ensuring clear visibility into adoption funnel bottlenecks.
• Marketing & Channel Ecosystem: Develop joint marketing initiatives with CMS partners (Partner Club, regional events, etc.).
• Cross-Functional Collaboration: Work in synergy with Global Ops, Support (CX), Product (PD), and Legal teams to drive continuous improvement in onboarding processes and the development of Business Requirement Documents (BRDs).
• Live the mission: inspire and empower others by genuinely caring for your own wellbeing and your colleagues. Bring wellbeing to the forefront of work, and create a supportive environment where everyone feels comfortable taking care of themselves, taking time off, and finding work-life wellness.

WHO YOU ARE

• Advanced English skills
• Project & Operations Management: Robust ability to manage complex technical and operational projects, focusing on process optimization and resolving systemic bottlenecks in B2B journeys.
• Relationship & Negotiation: Excellent communication skills to engage and influence decision-makers (C-levels), building long-term, high-trust relationships with partner tech companies.
• Data-Driven (Analytical Skills): Proficiency in data analysis and dashboard creation (experience with Looker is a plus). Ability to structure commercial strategies and technical defenses based on performance and incrementality reports.
• Product Vision: Deep understanding of API integrations and experience with management software workflows. Skilled at translating commercial needs into clear technical requirements.
• Resilience & Autonomy: A hands-on, proactive profile capable of navigating long-cycle development and integration projects while orchestrating multiple internal teams.

We recognize that individuals approach job applications differently. We strongly encourage all aspiring applicants to go for it, even if they don't match the job description 100%. We welcome your application and will be delighted to explore if you could be a great fit for our team. For this specific role, please note that prior experience in strategic partnership management with CMS/SaaS providers and technical project leadership involving API integrations are mandatory requirements.

WHAT WE OFFER YOU

With thoughtful benefits, emotional wellbeing resources, and a culture that empowers you to take ownership of your role and your wellbeing, we create an environment where you can thrive in all dimensions of your life. 

Our flexible benefits program allows you to customize some of the benefits, according to your needs!

Our benefits include:

WELLHUB: Free Gold+ membership with access to onsite gyms and studios, digital fitness programs, and online wellness resources for meditation, nutrition, mental wellbeing support, and more! Add up to three family members to your plan, ensuring access to wellness for those who matter most to you.

WELLZ: A complete emotional wellbeing program with a unique approach. It offers personalized journeys that combine individual therapy sessions (52 per year) and on-demand content. 

HEALTHCARE: Health, dental, and life insurance. 

FLEXIBLE WORK: As a Flexible First company, we offer hybrid to give you the freedom to work in a way that suits you. When you join, use our home office reimbursement to set up your home office. 

FLEXIBLE SCHEDULE: Flexibility for us isn’t just about where we work—it also means being able to shape how and when we get things done. Together with their leaders, employees define schedules that align with their time zones, team needs, and personal routines.

PAID TIME OFF: It’s important to take time away from work to recharge.Employees receive vacations after 6 months and additional 3 days off per year + 1 day off for each year of tenure (up to 5 additional days) + an extra holiday for your birthday!

PAID PARENTAL LEAVE: Welcoming a new child is one of the most special moments in your life. Take the time to be present and enjoy your growing family. We offer 100% paid parental leave to all new parents. Parents giving birth are eligible for an extended leave and a ramp-back period to return part-time while they get settled.  

CAREER GROWTH: Access world-class platforms, participate in interactive sessions,  build your personalized development roadmap, and explore internal opportunities. We focus on continuous learning and feedback to support your journey toward personal and professional success.

CULTURE: You’ll join a team of passionate people who come together to break boundaries, support each other, and create a meaningful impact in workplace wellness. We win together, building trust through open communication and a culture where every perspective matters. Learn more about our shared culture and values here. 

And to get a glimpse of life at Wellhub… Follow us on Instagram @lifeatwellhub and LinkedIn!

Wellhub was named a Top Sales Team of 2025!
This is a recognition of the collaboration and impact we create together every day. Ready to be part of a team that’s making a real difference? Read more about the award here. 

Diversity, Equity, and Belonging at Wellhub

We aim to create a collaborative, supportive, and inclusive space where everyone knows they belong. 

Wellhub is committed to creating a diverse work environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, gender identity or expression, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status, or any other basis covered by appropriate law.

Our commitment to inclusion also extends to how we recognize and reward our people. We’re proud to be Syndio Fair Pay Certified, reflecting our ongoing dedication to equitable and fair pay practices across our global team. Read more about it here.

Questions on how we treat your personal data? See our Aviso de Privacidade para Candidatos. 

 #LI-HYBRID

 #LI-ONSITE 

DESCRIÇÃO DA VAGA

Estamos em busca de uma pessoa Sênior Business and Growth Analyst para atuar na alavancagem de resultados e na estratégia de produtos de crédito consignado.

Nesta posição, você será o motor que conecta estratégia de negócios à execução tática, integrando visão analítica com ações de crescimento. O Analista de Growth é quem identifica as alavancas de rentabilização e otimiza a eficiência dos canais de vendas, garantindo que nossas soluções financeiras cheguem ao cliente certo, no momento certo, com a melhor margem possível.

Na essência deste papel, estão habilidades analíticas aguçadas, visão sistêmica de funil e uma forte orientação a resultados financeiros. Você terá o desafio de equilibrar volume de vendas com qualidade de carteira e eficiência operacional. Além disso, valorizamos a capacidade de comunicação para traduzir dados complexos em planos de ação claros.

No dia a dia, você atuará ao lado de times de Produto, Marketing, Comercial e Dados, e terá a oportunidade de liderar a transformação dos canais de aquisição, com foco especial na expansão da autocontratação digital. Conte, ainda, com um ambiente colaborativo e agendas recorrentes para reporte de resultados e definição de direcionadores estratégicos junto à diretoria.

Responsabilidades e Atribuições

Qual será seu papel no time?

• Analisar e otimizar continuamente os funis de vendas (aquisição, ativação, retenção), identificando gargalos e propondo testes para melhoria de conversão;
• Definir e refinar a estratégia de canais de aquisição, visando a máxima eficiência em indicadores econômicos vitais (CAC, LTV, TIR, ROA, LAIR);
• Mapear e implementar alavancas de crescimento e rentabilização para produtos de crédito consignado;
• Liderar iniciativas para expansão e consolidação dos canais digitais de autocontratação, melhorando a jornada do usuário e reduzindo a dependência de atendimento humano;
• Refinar processos de geração de demanda qualificada, garantindo que o time comercial ou os canais digitais recebam oportunidades com maior propensão de fechamento;
• Construir e apresentar reportes executivos de resultados e indicadores estratégicos diretamente para a diretoria e stakeholders;
• Atuar no suporte operacional estratégico, traduzindo metas de negócio em táticas acionáveis para as pontas operacionais;
• Monitorar a concorrência e tendências de mercado para antecipar movimentos e propor inovações no modelo de oferta;
• Realizar modelagens financeiras e de cenários para validar a viabilidade de novas campanhas ou canais;
• Atuar de forma colaborativa com áreas parceiras para destravar iniciativas que impactem o crescimento.

Requisitos e Qualificações

• Experiência sólida em estratégias de Growth, Planejamento Comercial ou Inteligência de Negócios;
• Conhecimento profundo do mercado de crédito (preferencialmente crédito consignado) e sua dinâmica operacional;
• Domínio de métricas de eficiência e rentabilidade (CAC, LTV, ROI, ROA, TIR, LAIR);
• Excel/Google Sheets avançado e ferramentas de visualização de dados (Power BI, Tableau ou Looker);
• Capacidade analítica para diagnósticos de funil e extração de insights de grandes volumes de dados;
• Experiência na estruturação de processos de vendas e geração de demanda;
• Habilidade de comunicação e client facing interno para condução de apresentações executivas;
• Gestão do tempo e priorização focada em impacto financeiro;
• Perfil "hands-on" com foco em resolução de problemas e melhoria contínua.

Será um diferencial se você tiver:

• Conhecimento em SQL para extração e manipulação autônoma de dados;
• Experiência prévia em Fintechs, Bancos ou Corretoras de Crédito;
• Vivência com metodologias ágeis e testes A/B;
• Conhecimento em ferramentas de CRM (Salesforce, HubSpot, etc.) e automação de marketing;
• Espanhol e/ou inglês nível intermediário ou avançado (para consumo de conteúdos e eventuais interações globais);
• Familiaridade com conceitos de Product-Led Growth (PLG).

Informações adicionais

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

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

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

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

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

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

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

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

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

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

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

We are seeking a Senior Data Engineer with a strong background in data engineering, ideally with hands-on experience in Google Cloud Platform (GCP) services such as Pub/Sub, Dataflow, and BigQuery. The ideal candidate will have solid proficiency in SQL and Python, along with familiarity in moving and transforming data across cloud-based data zones and streaming pipelines (ETL/ELT). Comfort with cloud services, data management, automation tools, and real-time data processing is essential. 

Role responsibilities

• Demonstrate deep knowledge of the data engineering domain to build and support non-interactive (batch, distributed) & real-time, highly available data pipelines  
• Build fault-tolerant, self-healing, adaptive, and highly accurate data computational pipelines  
• Provide consultation and lead the implementation of complex programs  
• Develop and maintain documentation relating to all assigned systems and projects  
• Tune queries running over billions of rows of data running in a distributed query engine  
• Perform root cause analysis to identify permanent resolutions to software or business process issues
• Implement and maintain dbt transformation models, CI pipelines, and data contracts for curated campaign, ad group, keyword, audience, and landing-page marts.
• Build and monitor data quality gates (Great Expectations and reconciliation checks) and freshness SLOs.
• Optimize BigQuery cost and performance using query tuning, storage design, and reservation strategy.
• Implement platform hardening controls including retries, dead-letter queues, DR runbooks, and support for VPC-SC and DLP validation.

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong expertise in:   
  • Python - for building data pipelines, processing tasks, and automation  
  • SQL - Advanced SQL capabilities (nested fields, analytic functions).  
• Hands-on experience with Core GCP Data Stack:  
  • BigQuery: Expert-level SQL, performance tuning, and specifically BigQuery for advanced SQL, performance tuning, partitioning and clustering strategy, and production-grade curated marts and feature tables; working knowledge of BQML for scoring and evaluation in analytics workflows. 
  • Dataflow (Apache Beam)
  • Strong proficiency in building reliable batch and incremental pipelines for GA4/Google Ads data into BigQuery, with streaming patterns (windowing/watermarks/triggers) used when near-real-time alerting is required.
  • Pub/Sub: Experience with event-driven architecture and message queuing.  
• Hands-on experience with Visualization & BI:       
  
  • Looker Core – Advanced proficiency in LookML (not just drag-and-drop), including derived tables, explores, and Liquid syntax.  
  • Semantic Modeling: Develop robust LookML models to create a trusted layer of data governance, ensuring metrics are consistent across the organization.  
  • Dashboard Creation: Design intuitive, high-impact dashboards in Looker for two distinct audiences: Operational teams (paid search performance monitoring, anomaly triage, and optimization workflows) and Executives (ROAS, conversion efficiency, budget pacing, and channel contribution reporting). 
• Ability to independently own workstreams while collaborating closely with data science, analytics, and engineering peers in agile delivery.
• Advanced English skills 

Nice to have qualifications  

• Google Cloud Professional Data Engineer certification  
• Google Professional Machine Learning Engineer certification  
• Google Cloud Professional Cloud Architect certification  
• Bachelor’s or Master’s degree in a quantitative or technical field (e.g., Computer Science, Engineering, Statistics)    
• Working knowledge of cloud architecture components in GCP  
• Proficiency in Big Data environments and tools such as Spark, Hive, Impala, Pig, etc.  
• Proficiency in Terraform  
• Familiarity with front and back-end web application stacks and frameworks, and API design and usage (REST/GraphQL)    
• Experience leading and managing technical data/analytics/machine learning projects    
• Experience supporting data products consumed by conversational analytics surfaces (BigQuery/Looker query routing, audit logging, and row-level access patterns).

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

Seu bem-estar, nossa missão. Junte-se a uma empresa que torna o mundo mais saudável.

CONHEÇA A GENTE

Estamos revolucionando o bem-estar corporativo. Nossa plataforma conecta colaboradores do mundo todo aos melhores parceiros em exercício físico, mindfulness, terapia, nutrição e rotina de sono – tudo em uma só subscrição. Com base em Nova York e equipe na Europa, América do Norte e América do Sul, nossa missão é fazer de toda empresa uma empresa de bem-estar. 

A gente acredita que o trabalho deve ser gratificante, inspirador e equilibrado. Aqui, você vai encontrar uma equipe que valoriza bem-estar, colaboração e perspectivas diversas, em um lugar onde paixão e criatividade rompem limites para criar impacto de verdade. Suas contribuições vão ajudar a construir um mundo mais saudável, para você e milhões de pessoas globalmente.

A OPORTUNIDADE

Estamos contratando Regional Engagement Specialist para se juntar ao nosso time de Wellbeing Engagement em São Paulo!

Você será um agente de transformação cultural, aproximando nossos clientes da missão do Wellhub, planejando e apoiando clientes e times locais na escolha da melhor estratégia de comunicação disponível para diferentes realidades. Esta é uma posição B2B2C dentro da equipe de Revenue, sendo responsável por executar campanhas exclusivas e escaláveis para colaboradores e desenvolver nossas estratégias em estreita colaboração com nossa equipe interna de Sucesso do Cliente e com os próprios clientes.

SEU IMPACTO

• Apoiar e treinar as equipes locais de Sucesso do Cliente na construção de planos de comunicação de bem-estar e engajamento de clientes.
• Desenvolver estratégias para aumentar o mercado alcançável por meio dos canais de comunicação de RH, de acordo com o perfil de cada cliente.
• Compreender e mapear as estratégias de bem-estar dos RHs, considerando diferentes tamanhos, setores e públicos, para construir programas de bem-estar para nossos clientes de forma individualizada e escalável.
• Engajar clientes em relação ao Engajamento de Bem-Estar por meio de planos exclusivos e formatos escaláveis.
• Construir soluções escaláveis para implementar em sua carteira de clientes.
• Monitorar e controlar os resultados dos planos e da carteira de clientes sob sua responsabilidade.
• Viva a missão: inspire e empodere outras pessoas ao priorizar seu próprio bem-estar e de seus colegas. Crie um ambiente de apoio onde todas as pessoas se sintam à vontade para cuidar de si mesmas e encontrar um equilíbrio entre trabalho e vida pessoal.

QUEM É VOCÊ

• Disponibilidade para ir ao escritório quando solicitado.
• Experiência prévia profissional em cargos correlatos.
• Inglês Intermediário.
• Fortes habilidades analíticas e disposição para "colocar a mão na massa" com o mesmo entusiasmo. Conhecimento em Looker será um plus. 
• Forte capacidade de organização e habilidade para gerenciar múltiplos projetos de forma simultânea e bem-sucedida.
• Foco em resultados e perfil inovador, com mentalidade voltada para soluções escaláveis.
• Excelentes habilidades de relacionamento e comunicação, além de capacidade de adaptação a ambientes em constante mudança.
• Conhecimento intermediário/avançado em Canva é obrigatório. 

Mesmo que você não corresponda a 100% dos requisitos da vaga, se candidate! Teremos o maior prazer em receber a sua inscrição e analisar a sua adequação à nossa equipe. Lembre-se apenas de observar que a experiência prévia com estratégias de engajamento de colaboradores e conhecimento intermediário/avançado em Canva são obrigatórias para esta função específica.

O QUE OFERECEMOS PARA VOCÊ

Criamos um ambiente de trabalho para você prosperar em todas as dimensões da sua vida. A gente faz isso por meio de benefícios bem pensados, recursos para o bem-estar emocional e uma cultura que empodera cada pessoa a realmente se conectar com seu papel aqui e ser dona dele, balanceando isso com o próprio bem-estar.

Nosso programa de benefícios flexíveis ajuda você a customizá-los de acordo com as suas necessidades!

Nossos benefícios incluem:

WELLHUB: Plano Gold+ gratuito, com acesso a milhares de academias e estúdios, programas fitness digitais e recursos online para meditação, nutrição, suporte de saúde mental, rotina de sono e mais. Você também pode adicionar até 3 familiares ao seu plano, garantindo que quem mais importa para você tenha acesso a bem-estar.

WELLZ: Um recurso único e completo para o bem-estar mental. O Wellz oferece jornadas personalizadas que combinam sessões semanais de terapia cognitivo-comportamental (52 por ano) e conteúdo à demanda.

SAÚDE E CUIDADO: Plano de saúde, plano odontológico e seguro de vida.

TRABALHO FLEXÍVEL: Com o regime de trabalho que prioriza flexibilidade, a gente oferece vagas híbridas e remotas, para que tenha a liberdade de trabalhar do jeito que funciona melhor para você. O modelo de trabalho desta vaga específica pode ser discutido com a pessoa recrutadora e com a liderança. Quando você entrar no Wellhub, também pode usar o nosso reembolso de home office para montar o seu escritório em casa!

CRONOGRAMA FLEXÍVEL: Flexibilidade não se restringe só a onde a gente trabalha – também inclui poder moldar como e quando trabalhamos. Em parceria com suas lideranças, as pessoas definem seus cronogramas para estarem alinhados com diferentes fuso-horários, necessidades de cada equipe e cada rotina pessoal.

DESCANSO REMUNERADO: Se desconectar e recarregar as energias é muito importante. Por isso, oferecemos férias após 6 meses de trabalho + 3 dias de folga por ano + 1 dia de folga a cada ano na empresa (somando até 5 dias) + 1 dia de folga no mês do seu aniversário! 

LICENÇA PARENTAL REMUNERADA: Receber um novo membro na família é um dos momentos mais especiais da vida. Queremos que cada pessoa colaboradora possa estar presente de verdade e aproveite esse tempo em família. Por isso, oferecemos licença parental 100% remunerada a todos os novos pais. Quem dá à luz também tem direito à licença estendida (Empresa Cidadã) e a um período de adaptação (ramp-back), em que pode trabalhar meio-período até se ajustar à nova rotina. 

DESENVOLVIMENTO PROFISSIONAL: Tenha acesso a plataformas globais de aprendizado, participe de sessões interativas, construa seu mapa de desenvolvimento personalizado e explore nossas oportunidades internas. Aqui, a gente foca em aprendizado e feedback contínuos para apoiar sua jornada em direção ao sucesso – tanto pessoal quanto profissional.

CULTURA: Você vai se juntar a uma equipe de pessoas dedicadas, que se unem para romper limites, apoiar umas às outras e criar impacto duradouro no bem-estar corporativo. Nós vencemos em conjunto, cultivando relações de confiança por meio de comunicação transparente e de uma cultura em que cada perspectiva importa. Entenda mais sobre nossos valores e cultura.

Para saber um pouco mais sobre a vida no Wellhub: Siga nossas páginas no Instagram @lifeatwellhub e LinkedIn!

Diversidade, Equidade, Inclusão e Pertencimento @ Wellhub

Buscamos criar um ambiente colaborativo, acolhedor e inclusivo, onde todo mundo sinta que faz parte. 

O Wellhub é um empregador comprometido com a promoção de oportunidades equitativas. Todas pessoas qualificadas que se candidatarem serão igualmente consideradas, sem descriminação por raça, religião, cor, sexo, identidade ou expressão de gênero, orientação sexual, idade, deficiência física ou mental não desqualificante, nacionalidade, condição de veterano ou qualquer outra base coberta pela lei apropriada.

Nosso compromisso com a inclusão também se estende à forma como reconhecemos e remuneramos nossas pessoas colaboradoras. Temos orgulho de ser uma empresa Syndio Fair Pay Certified, um certificado que reflete a nossa dedicação contínua a práticas de remuneração justas e equitativas em toda a nossa equipe global. Leia mais aqui.

Dúvidas sobre como tratamos seus dados pessoais? Consulte nosso Aviso de Privacidade do Candidato a Emprego. 

 #LI-HYBRID

Department: Risk Intelligence

The Risk Intelligence organization at Signifyd is responsible for proactively detecting and continuously monitoring fraud activities to mitigate immediate financial losses and protect portfolio health. This team partners closely with Data Science to improve machine learning (ML) model performance by providing continuous feedback on model outputs and identify areas for enhancement using real-world fraud patterns and merchant feedback. We enhance detection mechanisms to reduce friction for merchants and their customers while driving revenue. We build trust through responsiveness and expertise, fostering stronger merchant relationships. We demonstrate the value of fraud prevention solutions in driving revenue growth and reducing losses.

The Role:

As Risk Analyst, you will have an opportunity to join a group of seasoned fraud experts and expand your knowledge of Fraud Fighting within the e-commerce space. Your curiosity, analytical mind, technical skills, and tenacious spirit will have a significant impact in our team's ability to quickly respond to threats, outwit fraudsters, and help us advance payment risk decisioning to the next level.

Your day to day will include:

• Analyzing large data sets to identify and extrapolate fraud trends & propose effective and refined solutions.  
• Monitoring performance dashboards to look for anomalies. 
• Investigating high risk alerts.
• Producing analytical reports that provide actionable insights on fraud patterns.
• Identifying ideas for new Machine Learning features or rules, working closely with Data Science teams to improve model performance.
• Keeping up to date on the latest fraud trends.

You will be learning more about:

• Identifying fraud patterns, trends and emerging threats. 
• Fraud attributes for a variety of verticals within the e-commerce industry.
• Fighting fraud in North America, Latam, EMEA, and APAC.
• Using sophisticated fraud prevention tools. 

The ideal candidate and future fraud fighter will:

• Have proven ability to make decisions with limited and conflicting information.
• Have strong data analysis and interpretation skills.
• Have strong critical thinking skills with advanced judgment capability.
• Have an ability to manage multiple assignments while working independently.
• Have strong communication & presentation skills. 
• Have flexibility to work weekends and holidays
• Be familiar with data analytics & end user software such as Looker or SQL.
• Be highly proficient in G-suite (Doc, Sheets, Slides) /Microsoft Office (Excel).
• Be fluent in English.

Desired skills but not required:

• Be working towards or completed a degree in Business Technology, Business Analytics, Financial Technology, Data Science / or have equivalent working experience within the risk/fraud space.
• Some fraud prevention or payments space experience.

#LI-Remote

Benefits in our Brazil offices:

• Medical  Insurance
• Dental Insurance
• Meal Vouchers
• Stock Options
• Annual Performance Bonus or Commissions
• Paid Parental Leave (12 weeks)
• On-Demand Therapy for all employees & their dependents
• Dedicated learning budget through Learnerbly
• Life Insurance
• Company Social Events
• Signifyd Swag

We want to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process.

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values-driven culture, international careers and the chance to shape the future of experience. 

The opportunity

At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. 

We are proud of: 

• The work we do and the innovation we drive 
• Our values of share, care and dare 
• A workplace culture that fosters creativity, diversity and autonomy 
• Our borderless, global framework, which enables seamless collaboration 

The role  

he Sr Data Analyst is a mid-level practitioner role within Analytics, Intelligence, & Optimization. This role is responsible for leading substantial portions of reporting, dashboarding, and performance analysis workstreams that help teams understand business performance, identify opportunities, and support decision-making. The Sr Data Analyst works independently across recurring and ad hoc analytics needs, translates business questions into analytical approaches, and delivers clear, actionable insights to internal and client stakeholders. At this level, the role is expected to demonstrate strong analytical judgment, reliable execution, and growing leadership in how reporting logic, metric consistency, and insight generation are applied across engagements. 

Role responsibilities

• Lead the development, enhancement, and ongoing management of dashboards, reporting solutions, and recurring performance analysis. 
• Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight. 
• Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities. 
• Own lightweight transformation logic and dashboard-ready data modeling needed to support accurate and scalable analytics outputs. 
• Apply and reinforce semantic modeling practices by defining, documenting, and maintaining consistent business logic for metrics, dimensions, and KPIs. 
• Validate data quality, troubleshoot reporting issues, and resolve moderately complex data logic challenges in partnership with adjacent teams where needed. 
• Synthesize analysis into clear findings, implications, and recommendations for internal and client stakeholders. 
• Support stakeholder discussions by clearly explaining performance changes, report logic, assumptions, and recommended actions. 
• Partner with Measurement Implementation Analysts, CRO Analysts, SEO / GEO Specialists, Analytics Engineers, and DEPA teams to ensure analytics outputs align to measurement design, platform realities, and business needs. 
• Improve analytics delivery by identifying opportunities for better reporting structure, cleaner metric definitions, improved documentation, and more scalable analysis workflows. 
• Contribute to governance discipline by following established privacy, measurement, and data-quality standards in day-to-day work. 

Must have qualifications

To be considered for this role, you must meet the following essential qualifications: 

• Strong working knowledge of digital analytics, reporting, dashboarding, and performance measurement. 
• Ability to independently manage recurring analytics workstreams and produce reliable outputs with minimal oversight. 
• Strong understanding of data structures, joins, dimensions, metrics, KPI logic, and dashboard design principles. 
• Ability to turn data into clear, business-relevant insights and recommendations. 
• Strong analytical problem-solving skills, including the ability to investigate anomalies and identify likely drivers of performance. 
• Working knowledge of semantic modeling and the role of consistent business definitions in scalable analytics. 
• Ability to balance technical accuracy with stakeholder usability in reports and dashboards. 
• Strong written and verbal communication skills in English, including the ability to present findings clearly to non-technical audiences. 
• Strong attention to detail with a disciplined approach to validation, QA, and documentation. 
• Ability to work effectively across distributed teams in the Americas and collaborate across functions, time zones, and client contexts. 

Tools / Platforms 

• Analytics & Reporting 
• Google Analytics 4 (GA4) 
• Adobe Analytics 

Other digital analytics platforms as needed 

• Visualization & BI 
• Looker 
• Power BI 
• Tableau 
• Looker Studio 
• Data & Querying 
• SQL 
• BigQuery 
• Snowflake 
• Excel 
• Google Sheets 
• Optimization / Experience / CDP Ecosystem 
• Optimizely 
• Adobe Target 
• Dynamic Yield 
• CDP and optimization tools as relevant to the client environment 

Nice to have qualifications  

• Google Analytics certification or equivalent GA4 learning path 
• Adobe Analytics learning path or platform training 
• Looker, Tableau, or Power BI certification 
• SQL certification or equivalent applied coursework 

If you do not meet all the listed qualifications or have gaps in your experience, we still encourage you to apply. At Valtech, we recognize that talent comes in many forms, and we value diverse perspectives and a willingness to learn. 

Commitment to reaching all kinds of people 

We design experiences that work for all kinds of people - and that starts with our own teams. At Valtech, we’re intentional about building an inclusive culture where everyone feels supported to grow, thrive and achieve their goals. No matter your background, you belong here. Explore our Diversity & Inclusion site to see how we’re creating a more equitable Valtech for all. 

The benefits   

Beyond a competitive compensation package, we offer: 

• Flexibility, with remote and hybrid work options (country-dependent) 
• Career advancement, with international mobility and professional development programs 
• Learning and development, with access to cutting-edge tools, training and industry experts 

Our benefits are tailored to each location. Your Talent Partner will provide full details during the hiring process. 

Your application process

Once you apply, our Talent Acquisition team will review your application. If your skills and experience align with the role, we’ll reach out for next steps. Your CV should cover key information on relevant experiences and expertise. We do not require information such as age, gender, marital status, or a headshot in your application. We review all candidates based on skills, experience, and potential.

⚠️ Beware of recruitment fraud: Only engage with official Valtech email addresses.

We are committed to inclusion and accessibility. If you need reasonable accommodations during the interview process, please either indicate it in your application or let your Talent Partner know. 

About Valtech

Valtech is the experience innovation company that exists to unlock a better way to experience the world. By blending crafts, categories, and cultures, we help brands unlock new value in an increasingly digital world. 

At the intersection of data, AI, creativity, and technology, we drive transformation for leading organizations, including L’Oréal, Mars, Audi, P&G, Volkswagen Dolby, and more. 

At Valtech, we don’t just talk about transformation. We make it happen. Our people are the heart of our success, and we foster a workplace where everyone has the support to thrive, grow and innovate. 

Are you ready to create what’s next? Join us.

The Role You’ll Play

Experience You Bring

• 3+ years of experience in management consulting, investment banking, PE/VC, or an analytics, financial planning, or strategy role at a technology or rapidly scaling company
• Strong data background with hands-on proficiency in SQL and/or Snowflake and the ability to self-serve on data questions with cross-functional partners
• Advanced Excel and financial modeling skills, with the ability to build clean, executive-ready outputs
• Solid understanding of P&L mechanics and key financial drivers
• Experience with Looker, Tableau, or Anaplan preferred
• Strong attention to detail with high personal standards for accuracy and quality
• Clear written, visual, and verbal communication skills, including the ability to translate analysis into decisions
• Proactive and curious approach, with comfort investigating anomalies and operating in a fast-moving environment

What you'll do

Throughout this 18-20 month program, you'll rotate through two of our G&A teams, learning about areas such as risk management, finance, automation, and data analysis. You'll contribute to critical process improvements and developments, implementing our processes while leveraging AI to streamline workflows and enhance decision-making.

You'll challenge the status quo, bringing insights from each rotation to the next to improve cross-team communication and efficiency. We believe in a founder mindset — and this program is designed to show you how you can take ownership of your growth. During each rotation, you'll complete a core project focused on key data insights, process implementation, or process improvement—many of which will involve exploring and applying AI solutions. You'll then have the opportunity to share your findings with your program class and Brex Executives.

The program is supported by our leadership team, and you'll have frequent meetings with various Brex leaders. This provides a unique opportunity to work closely with and learn from executives who are at the forefront of building an AI-native company.

Where you’ll work

This role will be based in our Vancouver office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Handle day-to-day tasks efficiently.
• Analyze business inefficiencies and propose process improvements to leadership, leveraging AI to drive solutions.
• Work cross-functionally with various teams to streamline processes and create AI-powered workflows that improve automation and decision-making.
• Collaborate with EPD, G&A, GTM, and Legal to translate business needs into practical automation solutions.
• Contribute to the long-term strategy for Brex's AI-native roadmap, exploring and integrating new tools and frameworks to enhance internal operations.

Requirements

• Bachelor’s degree.
• Demonstrated experience using AI tools and applying effective prompting skills.
• Strong problem-solving abilities and comfort working through ambiguity.
• Passion for business operations, internal tools, and the application of AI and automation to improve efficiency and enable scale.
• Proven ability to work both independently and in cross-functional teams.
• Strong written and verbal communication skills, with the ability to present complex ideas clearly and effectively.
• Desire to contribute in a fast-paced environment with a founding team member mindset.

Bonus Points

• Major, minor, or coursework in a field relevant to AI and data, such as Computer Science, Data Science, Statistics, Machine Learning, Information Systems, or other Engineering.
• Basic knowledge or proficiency in programming languages such as but not limited to Python, JavaScript, or SQL.
• Experience with personal projects, a portfolio of work, or participation in competitions (e.g., Hackathons) focused on AI, machine learning, or data analysis.
• Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics.
• Prior internships/full-time roles in an operational, data, or technical role, especially where you were involved in process improvement or automation.
• Familiarity with Retool, Salesforce, Hex, and Looker.

Compensation

The expected salary range for this role is $63,286- $71,196.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

What you'll do

Throughout this 18-20 month program, you'll rotate through two of our G&A teams, learning about areas such as risk management, finance, automation, and data analysis. You'll contribute to critical process improvements and developments, implementing our processes while leveraging AI to streamline workflows and enhance decision-making.

You'll challenge the status quo, bringing insights from each rotation to the next to improve cross-team communication and efficiency. We believe in a founder mindset — and this program is designed to show you how you can take ownership of your growth. During each rotation, you'll complete a core project focused on key data insights, process implementation, or process improvement—many of which will involve exploring and applying AI solutions. You'll then have the opportunity to share your findings with your program class and Brex Executives.

The program is supported by our leadership team, and you'll have frequent meetings with various Brex leaders. This provides a unique opportunity to work closely with and learn from executives who are at the forefront of building an AI-native company.

Where you’ll work

This role will be based in our Sao Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Handle day-to-day tasks efficiently.
• Analyze business inefficiencies and propose process improvements to leadership, leveraging AI to drive solutions.
• Work cross-functionally with various teams to streamline processes and create AI-powered workflows that improve automation and decision-making.
• Collaborate with EPD, G&A, GTM, and Legal to translate business needs into practical automation solutions.
• Contribute to the long-term strategy for Brex's AI-native roadmap, exploring and integrating new tools and frameworks to enhance internal operations.

Requirements

• Bachelor’s degree.
• Demonstrated experience using AI tools and applying effective prompting skills.
• Strong problem-solving abilities and comfort working through ambiguity.
• Passion for business operations, internal tools, and the application of AI and automation to improve efficiency and enable scale.
• Proven ability to work both independently and in cross-functional teams.
• Strong written and verbal communication skills, with the ability to present complex ideas clearly and effectively.
• Desire to contribute in a fast-paced environment with a founding team member mindset.

Bonus Points

• Major, minor, or coursework in a field relevant to AI and data, such as Computer Science, Data Science, Statistics, Machine Learning, Information Systems, or other Engineering.
• Basic knowledge or proficiency in programming languages such as but not limited to Python, JavaScript, or SQL.
• Experience with personal projects, a portfolio of work, or participation in competitions (e.g., Hackathons) focused on AI, machine learning, or data analysis.
• Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics.
• Prior internships/full-time roles in an operational, data, or technical role, especially where you were involved in process improvement or automation.
• Familiarity with Retool, Salesforce, Hex, and Looker.

We kindly ask that all applications be submitted in English to be considered.

 * Must be based in São Paulo, Brazil

What you'll do

Throughout this 18-20 month program, you'll rotate through two of our G&A teams, learning about areas such as risk management, finance, automation, and data analysis. You'll contribute to critical process improvements and developments, implementing our processes while leveraging AI to streamline workflows and enhance decision-making.

You'll challenge the status quo, bringing insights from each rotation to the next to improve cross-team communication and efficiency. We believe in a founder mindset — and this program is designed to show you how you can take ownership of your growth. During each rotation, you'll complete a core project focused on key data insights, process implementation, or process improvement—many of which will involve exploring and applying AI solutions. You'll then have the opportunity to share your findings with your program class and Brex Executives.

The program is supported by our leadership team, and you'll have frequent meetings with various Brex leaders. This provides a unique opportunity to work closely with and learn from executives who are at the forefront of building an AI-native company.

Where you’ll work

This role will be based in our Salt Lake City office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Handle day-to-day tasks efficiently.
• Analyze business inefficiencies and propose process improvements to leadership, leveraging AI to drive solutions.
• Work cross-functionally with various teams to streamline processes and create AI-powered workflows that improve automation and decision-making.
• Collaborate with EPD, G&A, GTM, and Legal to translate business needs into practical automation solutions.
• Contribute to the long-term strategy for Brex's AI-native roadmap, exploring and integrating new tools and frameworks to enhance internal operations.

Requirements

• Bachelor’s degree.
• Demonstrated experience using AI tools and applying effective prompting skills.
• Strong problem-solving abilities and comfort working through ambiguity.
• Passion for business operations, internal tools, and the application of AI and automation to improve efficiency and enable scale.
• Proven ability to work both independently and in cross-functional teams.
• Strong written and verbal communication skills, with the ability to present complex ideas clearly and effectively.
• Desire to contribute in a fast-paced environment with a founding team member mindset.

Bonus Points

• Major, minor, or coursework in a field relevant to AI and data, such as Computer Science, Data Science, Statistics, Machine Learning, Information Systems, or other Engineering.
• Basic knowledge or proficiency in programming languages such as but not limited to Python, JavaScript, or SQL.
• Experience with personal projects, a portfolio of work, or participation in competitions (e.g., Hackathons) focused on AI, machine learning, or data analysis.
• Leadership roles in university clubs or organizations related to data science, AI, computer science, or business analytics.
• Prior internships/full-time roles in an operational, data, or technical role, especially where you were involved in process improvement or automation.
• Familiarity with Retool, Salesforce, Hex, and Looker.

Compensation

The expected salary range for this role is $58,700- 66,038.  However, the starting base pay will depend on a number of factors including the candidate’s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data—and insights derived from data—a core asset across the company.

What you’ll do

As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Where you’ll work

This role will be based in our São Paulo office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

• Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
• Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
• Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.
• Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.
• Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.
• Partner with various departments—including Sales, Operations, Product, and Finance—to understand their data needs and deliver tailored analyses and reporting that support strategic planning.
• Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

• 4+ years of experience in data analytics or a related role in a professional setting.
• 3+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.
• Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).
• Proficiency in Python for data analysis, automation, and scripting (Pandas, NumPy, and similar libraries).
• Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).
• Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.
• Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.
• Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

• Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
• Familiarity with dbt for data modeling and transformation.
• Exposure to data pipeline orchestration tools (e.g., Airflow).
• Experience in fintech, financial services, or payments.
• Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.

• Definir e liderar a estratégia de dados para todo o funil de receita (MKT, Sales, Parcerias e CS)
• Estruturar o modelo de dados unificado (single source of truth)
• Garantir consistência, qualidade e governança dos dados
• Evoluir a empresa de dashboards descritivos para análises preditivas e prescritivas

• Construir e escalar uma área de dados dentro de RevOps (BI, Analytics, Data Ops)
• Definir e acompanhar KPIs de performance de receita (pipeline, conversão, churn, LTV, CAC, etc.)
• Gerar insights acionáveis para liderança executiva (CRO, VP Sales, Marketing, CS)
• Liderar rotinas de dados e inteligência para forecast, pipeline reviews e performance analysis

• Liderar o roadmap de IA aplicado a Revenue (ex: scoring, priorização de leads, previsão de churn, recomendação de next best action)
• Identificar e implementar use cases de alto impacto com IA generativa e preditiva
• Atuar como ponte entre negócio e times técnicos (Data Science/ Engenharia/ Produto)
• Garantir adoção prática das soluções de IA (não só POCs)
• Reduzir esforço manual e aumentar produtividade dos times de GTM

• Definir padrões de governança de dados
• Promover cultura data-driven em toda a organização
• Capacitar stakeholders (treinamentos, playbooks, frameworks de decisão)

• Experiência liderando times multidisciplinares (BI, Analytics, Data Ops)
• Experiência em ambientes de alto crescimento (scale-up ou big tech)

Mentalidade de dono (ownership)
Essa pessoa não “entrega dashboard” — ela resolve problema de negócio.

Tradução negócio técnico
Consegue conversar com CRO e com Data Scientist no mesmo nível.

Influência sem autoridade
Vai precisar puxar adoção de IA em áreas que não se reportam a ela.

Pragmatismo orientado a impacto
Foco em soluções que geram resultado — não em complexidade técnica desnecessária.

Storytelling com dados
Capacidade de transformar análises em narrativas claras e acionáveis.

Change management

• Liderar transformação cultural (data-driven + AI-driven)
• Lidar com resistência à mudança (principalmente em Vendas)

• Experiência prévia implantando iniciativas de IA em escala
• Background em Data Science ou Engenharia de Dados
• Experiência em empresas SaaS B2B
• Vivência com frameworks de RevOps e GTM moderno
• Conhecimento em ferramentas de automação e no-code/low-code

• Aumento da previsibilidade de receita (forecast accuracy)
• Melhoria de eficiência do funil (conversão, ciclo de vendas)
• Redução de churn e aumento de expansão
• Adoção real de soluções de IA pelos times de GTM
• Redução de atividades manuais via automação
• Nível de maturidade data-driven da organização
  
  

  Vantagens e benefícios

  Sua Experiência no Dia a Dia
  • 🕘  Horário Flexível : Mais autonomia para organizar sua rotina com equilíbrio e responsabilidade.
  • 🏠  Modelos de Trabalho Flexíveis : Remoto, híbrido ou presencial, conforme a necessidade da função.
  • 👕  No Dress Code : Liberdade para ser quem você é, sem formalidades.
  • 🎉  Day Off de Aniversário : Um dia de folga no mês do seu aniversário para comemorar como quiser.
  • 🔋  Blip Recharge: São 5 dias de folga remunerados por ano, para cargos que não fazem registro de ponto, pensados ​​para equilibrar a jornada.

   Bem-estar e Qualidade de Vida

  • 🍽️  Vale Alimentação ou Refeição : R$ 1144,00 mensais, sem desconto e creditado inclusive nas férias e licenças.
  • 🚍  Vale Transporte : Disponível conforme necessidade de deslocamento.
  • 🏋️‍  Wellhub (Gympass) : Acesso a academias, apps de bem-estar e atividades físicas, também para dependentes.
  • 🎭  Convênio SESC : Acesso à cultura, lazer, esportes, hotéis, colônia de férias e mais.

   Saúde Física e Emocional

  • 🩺  Plano de Saúde (Sulamérica) : Cobertura nacional, quarto privativo para você e seus dependentes, com desconto apenas de coparticipação.
  • 🦷  Plano Odontológico : Cobertura nacional para você e seus dependentes, com três opções de planos, e desconto integral do valor do plano escolhido.
  • 🧠  Conexa Saúde : Plataforma de atendimento psicológico online.
  • 🔐  Seguro de Vida : Cobertura equivalente a 24 vezes o seu salário mensal.

   Família, Parentalidade e Apoio

  • 👶  Licença Maternidade Estendida : 180 dias para viver o início dessa nova fase com tranquilidade.
  • 👨‍👧   Licença Paternidade Estendida : 30 dias para estar presente e fortalecer vínculos.
  • 🧸  Auxílio Creche : Reembolso de R$ 676,81 para filhos de até 2 anos e R$ 592,21 para filhos de até 5 anos.
  • 🧩  Auxílio para Dependente PCD : Apoio de R$ 846,02 para filhos com deficiência ou neuro diversidade.