Data Analytics Intern

Category: 
Data/Analytics
Status: 
Internship
Post Date:  
3/15/2017
Description: 

About us

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

Our brewing heritage dates back more than 600 years, spanning continents and generations. From the Den Hoorn brewery in Leuven (Belgium), to the iconic Anheuser-Busch in St. Louis (US), from Castle in Johannesburg (South Africa), to Bohemia in Petropolis (Brazil), our geographical footprint connects people and brings them together.

We are AB InBev. Committed to driving growth that leads to better living for more people in more places. Through brands and experiences that bring people together. Through our dedication to brewing the best beer with the best ingredients. And through our commitment to helping farmers, retailers, entrepreneurs and communities grow.

We have around 200,000 colleagues in over 50 countries. We have over 400 beer brands. Our beer is sold in more than 100 countries.

We are always looking for new opportunities and ways to improve. 

Job Description

We are hiring interns for Summer 2017 (with potential extension to Fall) to help us solve challenging problems for AB InBev, the largest beer company in the world. The Bud Analytics Lab at UIUC Research Park uses advanced analytics to solve complex business problems. Our interns are part of a startup style environment with the resources and future opportunities of a top-50 Fortune Company.

Interns will contribute to innovative Bud Lab projects in one of the following areas: Sales and Marketing analytics, People analytics (HR), Supply Chain optimization and Finance.

Required Qualifications 

  • Masters or PhD student

  • Disciplines and subfields: Computer Science, Engineering, Economics, Statistics, Applied Mathematics, Information Sciences, Behavior Economics, Consumer Psychology, Social Media, Operations Research, Systems Optimization, Machine Vision, Informatics, Spatial Econometrics, Data Architecture, Supervised and Unsupervised Learning or Related Analytics/Quantitative Fields.

  • Strong technical and problem solving skills

  • Effective communicator

  • Work well in team environment

  • Strong written and verbal English skills

  • Experience using R, SQL and any scripting language

Preferred Qualifications

Knowledge of big data platforms for analytics and visualizations.

You should able to scale up our existing analytics capabilities.

Proven experience in translating complex analytics into actionable business insights.

Experience working with relational databases.

Experience with version control Algorithm design.

Applications

Please follow this link to apply for the position.