Company Profile:

AB Inbev is the world’s leading brewer bringing people together for a better world Our diverse portfolio of well over beer brands includes global brands Budweiser Corona and Stella Artois multicountry brands Beck’s Castle Castle Light Leffe and Hoegaarden and local champions like Becks Ice Rivers Haywards and Knockout

Job description:

About the role:
• Own and execute the delivery of project milestones and modules leveraging feedback
• Engage with stakeholders and assist the entire process of project delivery
• Tracking on key milestones of a project, while running agile routines for the team

Who we are:
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.

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 are building a company to last. Not just for a decade. But for the next 100 years. Through our brands and our investment in communities, we will bring more people together, making our company an integral part of our consumers’ lives for generations to come.

Revenue Management Analytics Team Overview:
• We are a part of ABI’s India Analytics hub located in Bangalore
• We support revenue management business units across the globe primarily focussed at pricing, promotional & Mix decision making at Geo / Brand / SKU levels and find actionable insights for them
• Manage and maintain large data sets to ensure high quality of data for analyses
• Engage with business partners at all levels of organization (Director / VP / GRM) and influence future plans based on insights

Experience:
3 - 4 years of relevant experience, in advanced analytics/data science at a B2B/B2C level.

Preferred experience - CPG/Retail, Ability to lead and guide multiple project team members

TECHNICAL SKILLS:
§ Programming – R/Python (At least excellent coding skill in any one programming language)
§ Visualization – Power BI, PowerPoint, Tableau, QlikView, MicroStrategy
§ Hands on expertise on supervised & unsupervised learning like –
• Regression (e.g. – Linear/Logistic/MNL/Mixed Effects/Regularization)
• Classification (K-means, Hierarchical, Latent Class, DBScan, SVM)
• Dimension Reduction techniques (Principal Component analysis, Singular Value Decomposition etc.)
• Time Series (UCM, Holt-Winters, ARIMA, ARIMAX, VAR)
• Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.)
• Machine Learning algorithms – Neural Networks, Naïve Bayes, Bagging & Boosting, Random Forest
§ Data management: SQL, Advanced Excel
§ Good to have skills - basics of BIG DATA architecture, Azure DevOps

Good to have project experience in the following areas:
• Pricing Conjoint Analysis
• Price Promo modelling
• Forecasting/Time series
• Media Mix Modelling

Behavioural Competencies:
§ Ability to co-create an entire solution
§ Thorough team player and collaborator
§ Challenge status quo
§ Excellent verbal and written communication skills
§ Acts as an owner