Category Analytics & Insights Manager - MEIJER CUSTOMER TEAM

P&G•Grand Rapids, MI

2d•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 mutual value for Meijer and P&G. The role works within a multifunctional team and collaborates with Sales, Brand, Finance, Supply, Product Supply, R&D, and other partners to identify growth opportunities and support high-quality decisions. The position integrates point-of-sale, market share, household panel, loyalty/CRM, shopper research, digital, and other data sources to identify business drivers, risks, and opportunities. It translates complex information into clear recommendations, applies quantitative and qualitative research to priority questions, and leads recurring reporting and performance diagnostics. It also brings in analytical methods, technology-enabled research, and emerging capabilities. The role provides category thought leadership to Meijer and leads or supports category and line reviews. It develops recommendations for assortment, shelving, space, productivity, and digital shelf improvements; uses space-planning and planogram analytics; builds a multi-year category and shelf-back perspective; and recommends and evaluates in-market tests. It partners with the broader customer team to turn insights and recommendations into effective in-store and online execution. Success means that customer and internal decisions are grounded in shopper, category, market, and business understanding; insights become focused commercial recommendations; category strategies improve the Meijer shopper experience while supporting sustainable growth; and analytical work is trusted and clearly communicated to technical and non-technical audiences. Specific category ownership, tools, and operating rhythms will align with Meijer Customer Team needs.

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, with 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 multifunctional 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

Act as a business strategy consultant, making shopper, consumer, category, and retailer insights foundational to 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 compelling stories and recommendations for internal leaders and customer partners.
Design or apply quantitative and qualitative research to answer priority business questions and understand shopper behavior and decision-making.
Lead recurring business reporting and performance diagnostics, explaining results and recommending 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, recommending strategies for category and market share growth.
Lead or support category and line reviews, translating category, brand, vendor, and item performance into assortment, shelving, space, and productivity recommendations.
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 that identifies 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 digital shelf and site experience, including search, content, variation, and bundling, to improve navigation and conversion.
Partner with the broader customer team to turn insights and category recommendations into strong in-store and online execution.
Communicate analytical work clearly to technical and non-technical audiences and follow recommendations through implementation, measurement, and learning.