Job description
Job Description:
We are looking for candidates with the right balance of data science, product ownership, and business expertise 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 help provide direction to an engaged team 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 Revenue Management & Pricing expertise, problem solving skills, programming, formal training in Statistics/Applied Mathematics, business acumen and storytelling.
KEY ACCOUNTABILITIES
OVERVIEW
General Mills is seeking an Associate, Data Management & Strategy on the Strategic Revenue Management (SRM) Analytics team who will be responsible for maintenance and enhancement of core data assets required to build state-of-the-art Pricing and Revenue Optimization tools. The Associate would also apply statistical & mathematical techniques and develop models to support pricing and promotion optimization across our global portfolio (~$19B 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 the right balance of data science, product ownership, and business expertise 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 help provide direction to an engaged team 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 Revenue Management & Pricing expertise, problem solving skills, programming, formal training in Statistics/Applied Mathematics, business acumen and storytelling.
KEY ACCOUNTABILITIES
- Serve as the Asset Owner for SRM Core Data
- Partner closely with the SRM Data Strategist to execute the SRM Data strategic roadmap, project outlines, and action plans
- Work with other SRM Analytics Product Owners and key stakeholders to conceptualize, specify and develop and maintain core data products
- Collaborate with D&T to devise and implement Data Quality methodology to ensure consistency, accuracy of data across systems and tools
- Be accountable for creating and monitoring Data Quality Control metrics for 1st party and 3rd party data sources
- Perform analysis to solve complex business and pricing problems
- Conduct data analysis, forecast accuracy, and build models for SRM Data and Advanced Analytics projects and initiatives
- Provide support in the development of state-of-the-art Pricing Optimization and Decision-support tools
- Contribute to existing SRM projects and initiatives
- Develop forecasts and build simulation models to predict the outcome of complex and real-world scenarios
- 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, and reports.
- Provide thought leadership and apply creative analytical solutions
- 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
- Influence, educate, and train the organization to adopt new processes and systems
- Mix analytical insights with business knowledge to build solutions that work in the real world
QUALIFICATIONS
- Bachelor’s Degree in Statistics, Mathematics, Operations Research, Physics, or related quantitative discipline
- At least 2 years of relevant experience
- Experience in Data Science, Modeling, and Advanced Analytics
- Experience in problem-solving including knowledge of statistical measurement, forecasting, and econometrics
- Expertise in SQL
- Experience coding in Python or R
- Working knowledge in statistical algorithms, predictive modeling techniques
- 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 Hadoop, data visualization tools (Tableau), and data integration platforms (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 clearly and simply communicate complex results 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
- Experience in Pricing and Revenue Management
- Familiarity with syndicated data sets (Nielsen/IRI), price and promotion models, trade system data, and financial data
We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.
General Mills
www.generalmills.com
Minneapolis, MN
Jeff Harmening
$10+ billion (USD)
10000+ Employees
Company - Public
Food & Beverage Manufacturing
1866