Associate Technical Product Owner, Analytics

$79,500 - $119,400/Yr

General Mills - Minneapolis, MN

Full-time - Entry Level

Minneapolis, MN

Food Manufacturing

About the position

General Mills is seeking an Associate Technical Product Owner, on the Measurement & SRM Analytics (MSA) team who will be responsible for development and maintenance of core data sources required to build state-of-the-art Total Commercial Investment (TCI) Measurement & Optimization capabilities, including Pricing and Revenue tools. A key responsibility will be leading the integration of large, disparate datasets from various sources and teams to create a unified, accurate 'single source of truth' for TCI Measurement and SRM. In this role you will partner across the Commercial, Measurement Revenue Analytics (CMRA), Digital & Technology (D&T), Supply Chain, Sales, Finance, E-Commerce, Consumer Insights, Operating Units (OUs) and external data providers to leverage Data and Advanced Analytics to solve problems and implement key strategic commercial initiatives. We are looking for candidates with strong Data Engineering, Data Science, and business expertise along with a passion to solve business and challenging measurement and 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 CMRA lens. A successful candidate will have the right blend of business acumen, problem solving skills, quantitative analytics, data engineering, programming, acumen and storytelling.

Responsibilities

• Serve as the Product Owner for MSA Core Data
• Partner closely with the MSA Data Strategist to execute the MSA Data strategic roadmap, project outlines, and action plans
• Work with other MSA and CMRA Product Owners and key stakeholders to conceptualize, specify and develop and maintain core data products
• Lead and contribute to the integration of large, disparate datasets from various teams to create a unified, accurate data source for TCI Measurement, Optimization, and SRM capabilities
• 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, data accuracy, and build data models for CMRA projects and initiatives
• Provide support in the development of state-of-the-art Total Commercial Investment (TCI) Measurement & Optimization Decision-support tools
• Contribute to existing MSA projects and initiatives
• Participate in ad-hoc Analytics and Data Science projects
• 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
• 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

Requirements

• Bachelor's Degree in Statistics, Mathematics, Operations Research, Physics, Economics, or related quantitative discipline
• 2+ years of experience in related technical role
• Expertise in SQL
• Working knowledge of relational database and Cloud-based data platforms such as GCP, Snowflake, or Databricks
• Demonstrated experience in data integration techniques, including data profiling, cleansing, transformation, and loading (ETL) processes
• 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

Nice-to-haves

• Master's Degree in a quantitative field
• Experience in Python or R
• Experience working with Marketing & Media data and agencies
• Experience with tools such as Alteryx and Talend
• Experience working with data visualization tools (Tableau, Power BI, Looker)
• Experience or familiarity with Marketing Mix Modeling (MMM) and Attribution Models
• Experience in Pricing and Revenue Management
• Familiarity with syndicated data sets (Nielsen/IRI), price and promotion models, trade system data, and financial data
• Experience working as a Data Scientist, building Mathematical & Statistical models
• Knowledge and understanding of development in Agile environment

Benefits

• 401k
• 401k_matching
• dental_insurance
• disability_insurance
• health_insurance
• life_insurance
• paid_holidays
• tuition_reimbursement
• vision_insurance
• wellness_programs