Category Analytics & Insights Manager - MEIJER CUSTOMER TEAM

Procter & Gamble•Grand Rapids, MI

4d•$125,700 - $157,100•Onsite

About The Position

The Category Analytics & Insights Manager serves as an influential business partner to the Meijer Customer Team, combining shopper and consumer understanding, category expertise, market analytics, and retail execution to shape strategies that grow the category, strengthen the shopper experience, and deliver value for Meijer and P&G. The role collaborates with Sales, Brand, Finance, Supply, Product Supply, R&D, and other partners to identify opportunities and support high-quality decisions. The position integrates point-of-sale, market share, household panel, loyalty/CRM, shopper research, digital, and other data to uncover business drivers, risks, and growth opportunities. It turns complex analysis into clear recommendations, leads reporting and performance diagnostics, and applies quantitative and qualitative research to address business questions. The role also provides category thought leadership, supports category and line reviews, develops shelf and assortment recommendations, assesses planogram and space performance, recommends and evaluates in-market tests, and influences the digital shelf and online experience. The role is based on-site in Grand Rapids, Michigan, as business needs require, and involves domestic travel as required. Specific category ownership, tools, and operating rhythms will be aligned to the needs of the Meijer Customer Team.

Requirements

Bachelor's degree or higher in Business, Marketing, Analytics, Economics, Statistics, Engineering, Computer Science, Applied Mathematics, Management Information Systems, or a related field.
3–5+ years of related experience in analytics and insights, category management, sales strategy/planning, customer business development, market research, or a related field.
Strong analytical capability and demonstrated ability to interpret retailer, shopper, market, and business data and convert it into recommendations.
Working knowledge of point-of-sale and syndicated data, household or shopper panels, and quantitative and qualitative research techniques.
Advanced proficiency with Microsoft Excel and PowerPoint, including building clear visualizations and executive-ready stories.
Experience with data visualization or analytical tools such as Power BI, Tableau, Spotfire, KNIME, Alteryx, or equivalent.
Excellent written and verbal communication skills and the ability to collaborate with and influence internal and external stakeholders.
Ability to work effectively as an individual contributor with limited supervision while collaborating across a multi-functional team.
Ability to work on-site in Grand Rapids, Michigan, based on business needs, and travel domestically as required.

Nice To Haves

Experience in consumer packaged goods, retail, category management, customer analytics, e-commerce, or media analytics.
Experience with syndicated scanner and panel sources such as NielsenIQ, Circana, Kantar, or Numerator.
Experience with space-planning, planogram, or assortment analytics tools and processes.
Familiarity with retailer loyalty/CRM data, neighborhood or trade-area analytics, and shopper-based design principles.
Experience with statistical software or programming languages such as JMP, Python, R, or SQL.
Curiosity and practical experience with AI and technology-enabled research or analytics approaches.
Proven ability to identify growth opportunities, develop new ideas, and improve ways of working.

Responsibilities

Use shopper, consumer, category, and retailer insights as foundations for customer strategy and execution.
Integrate point-of-sale, market share, household panel, loyalty/CRM, shopper research, digital, and other data to identify business drivers, risks, and growth opportunities.
Translate complex information into clear stories and recommendations for internal leaders and customer partners.
Design or apply quantitative and qualitative research to address priority business questions and deepen understanding of shopper behavior.
Lead recurring business reporting and performance diagnostics, explaining results and recommending follow-up actions.
Connect with internal and external experts to bring analytical methods, technology-enabled research, and emerging capabilities into the work.
Provide category thought leadership to Meijer and recommend strategies to accelerate category and market share growth.
Lead or support category reviews and line reviews, recommending assortment, shelving, space, and productivity actions.
Develop shelf and assortment recommendations that improve shopper ease, conversion, and trade-in, trade-up, and trade-across opportunities.
Use space-planning and planogram analytics to assess distribution points, share of space, assortment productivity, and alignment with retailer strategy.
Build a multi-year category and shelf-back perspective to identify growth opportunities, portfolio needs, and assortment or space risks.
Recommend, sell, and evaluate in-market tests, define success measures, and translate results into scalable action.
Influence the digital shelf and site experience, including search, content, variation, and bundling, to improve category navigation and conversion.
Partner with the broader customer team to translate insights and category recommendations into in-store and online execution.