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

This is Adyen

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

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

Strategic Pricing Analyst

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

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

What you will do:

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

Who you are:

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

Our Diversity, Equity and Inclusion commitments 

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

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

What’s next?

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

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

WHAT YOU'LL DO

We are seeking a highly analytical and detail-oriented Senior Sales Data Analyst with a passion for reporting and analytics. The ideal candidate is someone who enjoys diving into data, extracting insights, and translating them into actionable recommendations. You should possess strong problem-solving skills and a knack for visualizing data to drive informed decision-making. A collaborative mindset and the ability to effectively communicate findings to stakeholders are essential for success in this role.

Main responsibilities:

• Generate quarterly reports on marketing and sales performance for presentation to sales leadership, the C-suite, and the board of directors
• Design, construct, and manage Key Performance Indicator (KPI) reports and dashboards
• Establish and uphold documentation regarding sales tools, procedures, and policies
• Aid regional sales leadership in crafting Quarterly Business Reviews by utilizing data to identify strengths and areas for enhancement
• Develop standardized reports and accompanying documentation to enable Braze's Go-to-Market (GTM) Organization to independently access data and adopt a more data-centric approach in their daily responsibilities
• Streamline critical KPI reporting into a cohesive and easily comprehensible format

WHO YOU ARE

• 2+ years of proven experience in business intelligence or a quantitative field (e.g. business analytics, data science, financial analysis)
• Skilled with Microsoft Excel and Salesforce CRM
• Experience using Business Intelligence and data visualization tools such as Looker or Tableau preferred
• Detail-oriented with strong analytical and organizational skills
• Bachelor’s Degree in finance, accounting, economics or a related field preferred
• Prior experience working at a SaaS business strongly preferred
• Excellent written and verbal English communication skills

#LI-Hybrid

This is Adyen

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

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

Business Analyst - Pricing

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

What you'll do:

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

Who you are:

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

Our Diversity, Equity and Inclusion commitments 

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

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

What’s next?

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

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

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

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 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

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

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 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

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

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

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

Descrição da Vaga 

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

Responsabilidades e Atribuições: 

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

Requisitos e qualificações

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

Diferenciais

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

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

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

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

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

Descrição da Vaga 

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

Responsabilidades e Atribuições: 

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

Requisitos e qualificações

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

Diferenciais

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

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

About the opportunity 

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

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

What will you do?

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

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

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

Marketing Measurement & Analytics

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

Reporting & Data Infrastructure

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

Marketing Operations & Enablement

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

What will you bring to the team?

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

Please submit your CV in English.

About the opportunity 

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

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

What will you do?

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

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

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

Marketing Measurement & Analytics

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

Reporting & Data Infrastructure

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

Marketing Operations & Enablement

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

What will you bring to the team?

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

Please submit your CV in English.

About the opportunity 

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

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

What will you do?

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

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

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

Marketing Measurement & Analytics

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

Reporting & Data Infrastructure

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

Marketing Operations & Enablement

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

What will you bring to the team?

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

Please submit your CV in English.

About the opportunity 

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

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

What will you do?

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

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

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

Marketing Measurement & Analytics

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

Reporting & Data Infrastructure

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

Marketing Operations & Enablement

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

What will you bring to the team?

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

Please submit your CV in English.

About the opportunity 

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

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

What will you do?

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

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

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

Measurement & Analytics

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

Reporting & Data Infrastructure

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

Operations & Enablement

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

What will you bring to the team?

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

We care about you

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

Please submit your CV in English.

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

MUST HAVE:

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

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

YOUR ROLE

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

OUTCOMES

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

COMPETENCIES

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

MUST HAVE:

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

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

YOUR ROLE

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

OUTCOMES

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

COMPETENCIES

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

This is Adyen

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

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

Data Analyst 

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

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

What You’ll Do

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

Who You Are

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

Important Information:

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

**Internally the role being called Optimization Data Analyst 

Our Diversity, Equity and Inclusion commitments 

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

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

What’s next?

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

This is Adyen

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

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

Optimization Data Analyst 

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

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

What You’ll Do

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

Who You Are

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

Important Information:

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

Our Diversity, Equity and Inclusion commitments 

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

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

What’s next?

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

This is Adyen

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

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

Optimization Data Analyst 

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

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

What You’ll Do

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

Who You Are

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

Important Information:

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

Our Diversity, Equity and Inclusion commitments 

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

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

What’s next?

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

We are looking for a Performance Marketing Specialist (Mobile). You will be the core driver of our mobile user acquisition (UA) strategy, focusing on data-driven execution and aggressive ROAS optimization. This is a hands-on role requiring technical analytics skills and deep operational knowledge of major advertising platforms.

WHAT YOU WILL DO

• Hands-on creation, optimization, and scaling of performance marketing campaigns across Google, Meta (Facebook/Instagram), Apple Search Ads (ASA), TikTok Ads and other channels.
• Relentlessly focus on maximizing Return on Ad Spend (ROAS) and achieving efficient mobile user acquisition targets.
• Serve as the expert user for our Mobile Measurement Partner, AppsFlyer, ensuring data integrity and accurate attribution.
• Manage the creative process by briefing design/creative teams and generating/validating effective ad copy and video scripts.
• Utilize expertise in AI tools for copy creation, campaign optimization, and strategic performance analysis.
• Deep understanding of mobile ad fraud (click injection, SDK spoofing) and prevention tools.
• Ability to self-serve data via SQL/Looker/Tableau to reduce dependency on data teams.

WHAT YOU WILL NEED

• 5+ years in Performance/Growth Marketing, specifically focused on Mobile App Growth (UA).
• Expert working knowledge of AppsFlyer.
• Proven success in ROAS-focused campaign optimization.
• Experience managing monthly budgets exceeding USD 300k.
• Extensive, hands-on experience managing Google, Meta, ASA, and TikTok campaigns.
• Fluency in professional and technical English.

NICE TO HAVE

• Experience in Fintech or Gaming industries.
• Familiarity with marketing products in the Cryptocurrency space.

COMPENSATION & PERKS

• Competitive full-time salary based on experience and meaningful equity in an industry-leading company
• The opportunity to be a key player and build your career at a rapidly expanding, global technology company in an exciting, emerging industry.
• Performance-based bonuses
• Apple equipment provided by the company
• Work from Anywhere Policy: You can work remotely from anywhere in the world for up to 20 days per year.

About Us

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

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

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

About the Role

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

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

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

Responsibilities

Full-Funnel Performance Analysis & Paid Media Measurement

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

Media × Product × Business Integration

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

 Awareness & Consideration Measurement (Business-Oriented)

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

Modeling, Forecasting & Media Planning

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

Experimentation & Incrementality

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

Data Governance, Audiences & Reporting

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

Qualifications

Required

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

Nice to Have

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

Our Benefits

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

Work Model for this Role

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

Explore how we build technology at Nubank:

🔗 building.nubank.com.br ↗

🎥 youtube.com/@building.nubank ↗

🎧 Listen to our stories on Spotify ↗

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

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

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

Descrição da Vaga

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

Responsabilidades e Atribuições: 

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

Requisitos e Qualificações (Hard Skills):

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

Habilidades Comportamentais (Soft Skills):

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

Diferenciais (O que brilha os olhos):

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

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

About Us

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

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

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

About the Role

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

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

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

You'll be responsible for

Full-Funnel Performance Analysis & Paid Media Measurement

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

Media × Product × Business Integration

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

 Awareness & Consideration Measurement (Business-Oriented)

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

Modeling, Forecasting & Media Planning

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

Experimentation & Incrementality

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

Data Governance, Audiences & Reporting

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

We are looking for a person who has

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

Nice to Have

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

Our Benefits

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

Work Model for this Role

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

Explore how we build technology at Nubank:

🔗 building.nubank.com.br ↗

🎥 youtube.com/@building.nubank ↗

🎧 Listen to our stories on Spotify ↗

SOBRE A CAPCO

A Capco é uma consultoria global de tecnologia e gestão especializada na transformação digital, oferecendo soluções inovadoras e orientadas por dados para um portfólio crescente de mais de 100 clientes globais, entre eles bancos, pagamentos, mercados de capitais, gestão de patrimônio e ativos, seguros e setor de energia.

Nos destacamos pela abordagem personalizada, focada na construção de parcerias estratégicas de longo prazo e na aceleração de iniciativas digitais. Nossa expertise ganha vida por meio dos Innovation Labs e da cultura premiada Be Yourself At Work, que valoriza a diversidade e o talento.

Com presença global nos principais centros financeiros - temos 33 escritórios nas Américas, Europa e Ásia-Pacífico - estamos comprometidos em oferecer soluções práticas e integradas, promovendo colaboração e confiança em cada projeto. Se criatividade e inovação são sua paixão, a Capco é ideal para você. Vamos te apoiar e ajudar a acelerar sua carreira!

Sobre a oportunidade: 

Estamos em busca de um(a) Senior Consultant com experiência sólida em Business Analysis com plataformas de Big Data e vivência em ambientes de Cloud. Esta é uma excelente oportunidade para profissionais técnicos que desejam atuar em projetos de alto impacto, com foco em soluções escaláveis, processamento de grandes volumes de dados e modernização de ambientes analíticos.

Requisitos Desejáveis:

• Experiência com Data Lake, Delta Lake e arquiteturas orientadas a eventos.
• Certificações em Cloud (ex: AWS Certified Data Analytics, Azure Data Engineer, etc.).
• Conhecimentos em linguagens como Python, Scala ou Java voltadas para processamento de dados.
• Familiaridade com ferramentas de orquestração como Airflow, Apache Nifi, DBT ou similares.
• Entendimento de boas práticas de governança de dados, segurança e compliance.

POR QUE CAPCO:

Juntar-se à Capco significa ingressar em uma organização comprometida com um ambiente de trabalho inclusivo onde você é incentivado a #BeYourselfAtWork (Ser Você Mesmo no Trabalho). Celebramos a individualidade e reconhecemos que a diversidade e a inclusão, em todas as formas, são fundamentais para o sucesso. Acreditamos que todos trazem algo diferente, por isso adoraríamos saber o que o torna diferente!

Estamos em busca de um(a) Business Analyst com forte atuação em projetos de dados, capaz de traduzir necessidades de negócio em requisitos técnicos e análises estratégicas. O(a) profissional ideal terá experiência em ambientes de Big Data, conhecimento em ferramentas como Snowflake e Hadoop, e facilidade em interagir com áreas técnicas e de negócio.

Responsabilidades:

• Levantar, mapear e analisar requisitos de negócio voltados a dados e analytics;

• Traduzir necessidades das áreas de negócio em histórias de usuário e requisitos técnicos claros;

• Trabalhar em parceria com times de engenharia de dados, ciência de dados e produto;

• Realizar análises exploratórias de dados e gerar insights acionáveis;

• Documentar processos, fluxos de dados e regras de negócio;

• Apoiar o desenho de soluções de dados com foco em escalabilidade e performance;

• Garantir a qualidade e integridade das entregas de dados (requisitos, relatórios, dashboards, etc.).

Requisitos:

• Experiência prévia como Business Analyst ou Product Analyst em projetos de dados;

• Familiaridade com ambientes de Data Warehouse e Data Lake;

• Conhecimento em ferramentas como Snowflake, Hadoop, Hive, Spark, etc.;

• Experiência com análise de dados utilizando SQL avançado;

• Capacidade de leitura e entendimento de pipelines de dados;

• Habilidade de comunicação com perfis técnicos e não técnicos;

• Conhecimento de metodologias ágeis (Scrum/Kanban).

• Inglês avançado.

Diferenciais:

• Experiência com ferramentas de BI (Power BI, Tableau, Looker);

• Noções de modelagem de dados (dimensional, relacional, etc.);

• Experiência em ambientes Cloud (AWS, GCP ou Azure);

• Experiência em projetos de governança de dados ou compliance (LGPD, GDPR).

PRÓXIMOS PASSOS:

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

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

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