data
Posted YesterdaySenior Data Analyst
at AB InBev
Remote
Responsibilities
- 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.
- Perform exploratory analysis, ad hoc studies, and support experimentation initiatives.
Requirements
- This is a beta feature to avoid spam applicants.
Additional details
- AB InBev is the leading global brewer and one of the worldâs top 5 consumer product companies.
- With over 500 beer brands, weâre number one or two in many of the worldâs top beer markets, including North America, Latin America, Europe, Asia, and Africa.
- 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:
- 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:
- Apply statistical and analytical techniques to identify trends, opportunities, and business impacts.