Senior Data Analyst
WFA Digital Insight
AB InBev’s Growth Group sits at the crossroads of data, commerce and tech, and the Senior Data Analyst position sits inside the BEES Fintech Analytics team. The role isn’t just about static reporting; it demands end‑to‑end analytical craftsmanship—building Power BI dashboards, shaping Azure Databricks pipelines, and translating statistical findings into product decisions. Candidates will partner directly with Credit, Payments and Product squads, meaning every insight can affect a fintech feature that reaches millions of users. Because the team follows software‑engineering standards—Git, CI/CD, testing—the analyst must think like a developer as much as a statistician. If you enjoy turning raw data into actionable strategy while collaborating across tech and commercial lines, this is a rare chance to do it at a global consumer brand.
Job Description
About us 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 Private pension plan Meal Allowance Casual office and dress code Days off Health, dental, and life insurance Medicines discounts WellHub partnership Childcare subsidies Discounts on Ambev products Clube Ben partnership Scholarship School materials assurance Language and training platforms Transport allowance Rules applied Equal Opportunity & Affirmative Action: AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative 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. The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. For more information: www.abinbev.comHow to Stand Out
- Highlight concrete Power BI dashboards or data models you have built; include screenshots or a brief portfolio link.
- Demonstrate your Python analytics work with clear examples of scripts or notebooks that solved a business problem.
- Prepare to discuss a past experiment you designed, the statistical method used, and the outcome it drove.
- Emphasise remote‑work discipline: showcase your communication tools, time‑zone coordination and self‑management strategies.
- During interviews, be ready to walk through a data‑quality issue you identified and how you resolved it.
- Research AB InBev’s BEES fintech products so you can speak intelligently about the domain.
- When negotiating, ask about the remote‑work stipend, learning budget and performance bonus structure since salary details are not disclosed.
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