AB InBev - Tech Business Insights Data Analyst

Anheuser-Busch InBev is the leading global brewer and one of the world's top five consumer products companies. Beer, the original social network, has been bringing people together for thousands of years and our portfolio of well over 200 beer brands continues to forge strong connections with consumers.

This includes global brands Budweiser, Corona, Stella Artois, Becks, Leffe, Hoegaarden and many more.

Geographically diversified with a balanced exposure to developed and developing markets, Anheuser-Busch InBev leverages the collective strengths of its approximately 155,000 employees based in 25 countries worldwide. In 2014, AB InBev realized 47.1 billion USD revenue. The company strives to be the Best Beer Company Bringing People Together For a Better World.

We're looking for a motivated, analytically-minded candidate who wants to be part of a start-up style environment that combines the resources and future mobility offered by a large corporation. Ideally you have a broad skill set and are willing to take on (or teach yourself to take on) any challenge. You may go from editing jpg images to drafting survey questions to analysing statistical models to presenting to company Vice Presidents all in the same week.

Education :

- Bachelors or Masters in Computer Science or Engineering

Mandatory Requirements :

- Strong written and verbal English skills

- Strong skills in testing, data management, and assessing the data quality of BI reports

- Microsoft Office skills (Excel, PowerPoint, Word)

- Strong understanding of databases and proficient in writing SQL

Strongly Preferred Requirements :

- SQL

- Any ETL Tool

- Any Database

- Experience in Testing BI reprots

Primary Responsibilities :

- Coordinate data loads of BI reports for Sales Revenue Management and Finance BBP

- Complete data validations checks to ensure completeness, consistency, and accuracy of numbers as defined by business

- Become a subject matter expert in the BI reports and address any questions and concerns from key stakeholders in Sales and Finance teams

- Become familiar with the back end data models for Finance BI application and write sophisticated queries to analyze data for ad-hoc requests