Senior Data Analyst Remote, Brazil

BEES; Brasil; Teletrabalho; BRL 90 000 - 170 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Performance-based bonus

Attendance bonus

Casual office and dress code

Days off

Health, dental, and life insurance

Discounts on Ambev products

School materials assurance

Language and training platforms

Resumo da oferta

AB InBev Growth Group seeks a Senior Data Analyst for BEES Fintech Data Analytics. This role blends BI, advanced analytics, and analytics engineering to convert complex data into actionable insights across Credit, Payments and Product teams.

Ideal candidates will build scalable solutions with Power BI, Azure Databricks, SQL and Python, while ensuring data quality, governance and storytelling for executives.

Qualificações

• Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field.
• Proven experience in Data Analytics, Business Intelligence, or related fields.
• Advanced SQL skills for data extraction, transformation, and analysis.
• Strong Power BI expertise, including dashboard development, DAX, data modeling, visualization best practices, and user experience design.
• Experience with Azure Databricks, SparkSQL, PySpark, and modern cloud-based analytics platforms.
• Proficiency in Python for data analysis and analytical solution development.
• Experience with Git, version control workflows, and CI/CD practices.
• Understanding of statistics, experimentation, hypothesis testing, and analytical problem-solving.
• Strong communication, stakeholder management, and data storytelling skills.
• Fluent English (written and spoken). Spanish is a plus.

Responsabilidades

• Develop scalable analytical solutions using Power BI, Azure Databricks, SQL, and Python.
• Design and maintain dashboards, KPI frameworks, semantic models, and self-service analytics solutions.
• Transform data into actionable insights that support strategic business decisions.
• Apply statistical and analytical techniques to identify trends, opportunities, and business impacts.
• Perform exploratory analysis, ad hoc studies, and support experimentation initiatives.
• Partner with Product, Commercial and Technology teams to solve business problems through data.
• Ensure data quality, consistency, governance, and reliability across analytical products.
• Follow software engineering best practices, including Git-based development, version control, testing, and CI/CD processes.
• Communicate insights through effective data storytelling, visualizations, and executive presentations.

Conhecimentos

Power BI

Azure Databricks

SQL

Python

Data storytelling

Formação académica

Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or related field

Ferramentas

Git

CI/CD

SparkSQL

PySpark

Descrição da oferta de emprego

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

About AB InBev Growth Group

Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.

In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.

We are an exceptional team, focused on understanding and supporting consumer and customer needs, harnessing new technology, and scaling growth opportunities.

About the Role:

We are looking for a Senior Data Analyst to join the BEES Fintech Data Analytics team. This role sits at the intersection of Business Intelligence, Advanced Analytics, and Analytics Engineering, transforming complex data into actionable insights that drive strategic decisions across Credit, Payments and Product teams.

The ideal candidate is not only able to build reports and dashboards but also understands statistical methods, experimental design, data modeling, and modern data platform concepts. This person acts as a trusted business partner, helping stakeholders identify opportunities, validate hypotheses, and make data-driven decisions.

What you'll do:

• Develop scalable analytical solutions using Power BI, Azure Databricks, SQL, and Python.
• Design and maintain dashboards, KPI frameworks, semantic models, and self-service analytics solutions.
• Transform data into actionable insights that support strategic business decisions.
• Apply statistical and analytical techniques to identify trends, opportunities, and business impacts.
• Perform exploratory analysis, ad hoc studies, and support experimentation initiatives.
• Partner with Product, Commercial and Technology teams to solve business problems through data.
• Ensure data quality, consistency, governance, and reliability across analytical products.
• Follow software engineering best practices, including Git-based development, version control, testing, and CI/CD processes.
• Communicate insights through effective data storytelling, visualizations, and executive presentations.

What you'll need:

Required

• Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Economics, or a related field.
• Proven experience in Data Analytics, Business Intelligence, or related fields.
• Advanced SQL skills for data extraction, transformation, and analysis.
• Strong Power BI expertise, including dashboard development, DAX, data modeling, visualization best practices, and user experience design.
• Experience with Azure Databricks, SparkSQL, PySpark, and modern cloud-based analytics platforms.
• Proficiency in Python for data analysis and analytical solution development.
• Experience with Git, version control workflows, and CI/CD practices.
• Understanding of statistics, experimentation, hypothesis testing, and analytical problem-solving.
• Strong communication, stakeholder management, and data storytelling skills.
• Fluent English (written and spoken). Spanish is a plus.

Nice to have

• Experience in Fintech, Credit, Digital Payment, E-commerce, or Digital Products.
• Experience leveraging AI-powered tools to accelerate analytics development and insight generation.

More about you:

• You´re passionate about software development and knows how to ensure its quality;
• You´re motivated by building up world class solutions that impacts millions of users all over the world;
• Experienced working in an environment which uses and stimulates DevOps culture;
• You´re creative when solving problems and is continuously seeking improvements for processes and solutions;
• You can communicate clearly with your team and the company to identify issues and demands;
• You have the autonomy to recognize the current and new priorities, evaluating the impact of their outcomes in the final result.

What We Offer:

• Performance based bonus*
• Attendance Bonus*
• Casual office and dress code
• Days off*
• Health, dental, and life insurance
• Discounts on Ambev products*
• School materials assurance
• Language and training platforms

Equal Opportunity & Affirmitive Action:

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmitive Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

AB InBev is committed to creating a diverse and inclusive workforce and culture. We conduct confidential surveys to better understand & ensure we provide equal opportunity throughout our end-to-end recruitment process. Individuals seeking employment at ABInBev are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, or sexual orientation. Completion of the form is entirely voluntary. Whatever your decision, it will not be considered in the hiring process or thereafter. Any information that you do provide will be recorded and maintained in a confidential file.