Job Description

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. General Mills (GMI) is seeking an Analyst , Data and Decision Science on the Strategic Revenue Management (SRM) Analytics team who will be responsible for conducting analysis, applying statistical and mathematical techniques, and developing models to support pricing and promotion optimization across our global portfolio ($20B Gross Sales, 26 categories, thousands of products). In this role you will partner across the SRM team, Digital & Technology, Sales, Finance, e-commerce, Consumer Insights, and Operating Units (OUs) to leverage Data and Advanced Analytics to solve problems and implement key pricing initiatives. We are looking for candidates with formal Analytics and Data Science education and a passion to solve business and Revenue Optimization problems. You will get the opportunity to tackle complicated problems and create a new generation of products, tools, and capability within an Agile environment. You will work on projects with high impact and value to the organization.Candidates will also have exposure to many functions within the company and globally to gain a unique perspective on the business from an SRM lens. A successful candidate will have the right blend of formal academic training and programming skills, programming in Statistics/Applied Mathematics, along with strong desire to learn new analytical skills and natural sense of curiosity. KEY ACCOUNTABILITIES Build, enhance, and maintain Price Elasticity Models for Products across the entire GMI portfolio. Conduct ad-hoc data analysis and build models for SRM Data and Advanced Analytics projects and initiatives. Develop forecasts and build simulation models to predict the outcome of complex and real-world scenarios . Provide analytical support in the development of state-of-the-art Pricing Optimization and Decision-support tools. Contribute to existing SRM projects and initiatives. Understand both current uses and future state of promotional planning/optimization at General Mills, capture ongoing needs, and support integration with existing systems, data sets, reports. Possess R&D mindset by prototyping and carrying out tests. Collaborate cross-functionally across SRM team, Digital & Technology, and other partners to define requirements for new tools and systems. Mix analytical insights with business needs to build solutions that work in the real world. QUALIFICATIONS Bachelor\'s Degree in Statistics, Mathematics, Operations Research, Physics, or related quantitative discipline Academic and/or work experience in problem-solving using Statistical Analysis, Mathematical Techniques, and Econometrics. Expertise in SQL. Experience coding in Python and/or R Proficiency on Big Data technology and keep abreast of new tools and analytical concepts. Working knowledge of relational database and Cloud-based environment such as GCP would be helpful. Experience working with data visualization tools (e.g. Tableau), and data integration platforms (e.g. Alteryx, Talend) would be helpful. Experience in Data Mining. Knowledge and understanding of development in Agile environment would be helpful. Experience working on matrix teams and collaboration in non-hierarchical environment. Exceptional Communication Skills - ability to communicate complex results clearly and simply to a wide range of audiences. Learning agility - ability to work in white space to build new analytical processes and tools. PREFERRED QUALIFICATIONS Master\'s Degree in a quantitative field 1-3 years of Experience in Data Science, Modeling, and Advanced Analytics Experience in Pricing and Revenue Management Experience building Price Elasticity Models Familiarity with syndicated data sets (Nielsen/IRI), price and promotion models, trade system data, and financial data

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