Who we are:

For centuries, the experience of sharing a beer has brought people together. Even in our hyper-connected, always-on world, this simple act is as meaningful today as it was generations ago.

We are AB InBev, a multinational beverage and brewing company headquartered in Leuven, Belgium. As the world’s largest brewer and one of the largest consumer goods companies in the world, we are committed to driving growth which improves the lives of people across the globe.

We do this through our dedication to brewing the best beer with the best ingredients.

And with our commitment to helping farmers, retailers, entrepreneurs and communities grow, we are building a company to last not just for a decade, but for the next 100 years!

Our diverse portfolio of well over 400 beer brands includes global brands such as Budweiser, Corona and Stella Artois, International brands such as Leffe and Hoegaarden and local champions like Haywards and Knockout. Our tradition of brewing the finest beer dates back more than 600 years, spanning continents and generations.

We are a company of owners dedicated to providing unparalleled quality and results; we take great pride in our work. All of us at AB InBev take results personally and are driven to build something great together.

We value talented people who aren’t afraid to be bold, resourceful, and committed, and who believe in doing things the right way. If you see yourself working for a company that allows you to excel at the pace of your talent, a career at AB InBev may be for you.

PURPOSE OF ROLE

This person will work closely with one of our key European eCommerce businesses to optimize their data management and insight generation capabilities and continue developing a data driven organisation. They will work with stakeholders across all verticals of the business as required and will be supported by a central data team under the eCommerce branch of Direct to Consumer (DTC). Successful candidates will quickly become SME’s for their business and deliver actionable insights after leveraging the global architecture to improve local business processes and reports.

Responsibilities:

·      Manage, improve and maintain business data architecture, pipelines and reporting.

·      Develop ad hoc analysis of critical issues that impact business performance and translate the analysis into actionable recommendations or automation opportunities.

·      Define a data analytics roadmap for the business, working closely with the eStore to provide effective monitoring, insights and data driven automation.

·      Develop tools and solutions that improve corporate analytics maturity to support growing demand for fact-based customer-centric decision making.

·      Document key business processes and solutions for knowledge storage and transfer.

·      Bridge business data and insights between the eStore and AB InBev.

·      Administer and train people on business to enable self-service data analysis.

Profile:

·      Excellent analytical, quantitative and problem-solving skills.

·      Clear understanding of ecommerce and modern data architecture.

·      Proven ability to deliver actionable insights that lead to change and measurable ROI.

·      Strong skills in database management, ETL, visualization and BI platforms (e.g. Power BI)

·      Curious personality - you know how to ask questions to get to the heart of the matter.

·      Ability to establish relationships and collaborate with people at all levels of the organisation.

·      Strong communication skills (written & verbal) in English.

·      Ability to effectively communicate technical concepts to non-technical audiences.

·      Performs well in an agile environment with competing priorities and multiple projects.

·      Good understanding of online shopping, digital marketing and the beer industry.

·      Strong knowledge about general business finances and P&L components.

Competencies:

·       SQL (required)

·       Excel (required)

·       ETL (required)

·       Azure Data Factory (preferred)

·       Power BI (preferred)

·       Google Analytics (optional)

·       Python (optional)