Mid Level Data Analyst
AI Summary
A mid-level data analyst partners with stakeholders to answer business questions, builds and maintains Power BI dashboards and semantic models, and uses SQL to query, clean, and validate large datasets to deliver actionable insights.
About this role
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 BEES
At BEES, our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all.
What you'll do
- Partner with stakeholders to answer business questions through data analysis, providing actionable insights that support operational and strategic decisions.
- Build and maintain Power BI dashboards, semantic models, and reports that enable self-service analytics and business visibility.
- Use SQL to query, clean, validate, and analyze large datasets while ensuring data accuracy and consistency.
- Perform exploratory analyses, identify trends, investigate business issues, and support root cause analysis for product and commercial initiatives.
- Contribute to the definition and maintenance of business KPIs and reporting standards.
- Apply data visualization best practices to create intuitive, impactful, and user-friendly dashboards.
- Leverage AI tools (such as LLMs and coding assistants) to improve productivity, accelerate analysis, automate repetitive tasks, and support documentation while validating analytical outputs.
- Translate analytical findings into clear narratives tailored to both technical and business audiences.
- Collaborate with international teams to deliver high-quality analytical solutions under tight timelines.
What you'll need
- Bachelor's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or another quantitative discipline.
- Strong SQL skills for querying and preparing analytical datasets.
- Strong Power BI knowledge, including DAX, data modeling, and dashboard development.
- Knowledge of statistics and analytical methodologies.
- Experience using Python for data analysis is a plus.
- Familiarity with AI-powered productivity tools and willingness to incorporate them into daily analytical work.
- Understanding of data visualization principles and storytelling techniques.
- Intermediate English communication skills.
- Strong attention to detail and commitment to analytical quality.
More about you
- You're curious and enjoy understanding how the business works.
- You like solving problems and investigating the "why" behind the numbers.
- You're proactive, collaborative, and comfortable working with cross-functional teams.
- You're eager to learn new technologies, including AI, and continuously improve your analytical toolkit.
- You communicate insights clearly and adapt your message to different audiences.
- You take ownership of your work and consistently deliver high-quality analyses.
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 on 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 can analyze diversity and reduce bias in selection processes. We want to contribute to changing this reality by being an inclusive company.
For more information: [www.abinbev.com](https://www.abinbev.com)
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