WHO WE ARE
Opening our doors in 1947, we are a third-generation, family-owned and operated direct importer, converter, and full-service distributor. We value the connections made over the bond people share through food, whether they are internal or external. For more information about who we are, please visit Peterson Company (petersoncheese.com).
SUMMARY OF POSITION
The Data Analyst – Category & Supplier Insights transforms syndicated POS data and demand signals into actionable intelligence that drives growth across retailers, brands, and SKUs. Reporting to the Director FP&A, this role partners closely with Sales to track real-time demand patterns, analyze performance trends, and translate data into clear recommendations that influence sales strategy, category decisions, and inventory management at both the warehouse and account level — ensuring the right product is in the right place, at the right time.
KEY RESPONSIBILITIES
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Data Analysis & Insights Development – Analyze syndicated POS data (Spins, Circana/IRI, Nielsen) across retailers, brands, categories, and SKUs. Extract, clean, and manage large datasets to identify trends, patterns, and performance drivers.
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Category & SKU Performance – Monitor and evaluate performance at the retailer, brand, and SKU level. Identify distribution gaps, velocity opportunities, and assortment optimization strategies.
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Strategic Recommendations – Translate insights into actionable recommendations for internal teams, retail partners, and brand stakeholders. Support category reviews, line reviews, and business planning with data-backed strategies.
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Reporting & Visualization – Build and maintain dashboards, reports, and presentations that clearly communicate key insights. Customize analyses for different audiences, including sales, marketing, and leadership teams.
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Collaboration – Partner with Sales, Category Management, and Marketing teams to align insights with business objectives. Support customer-facing presentations with data storytelling and strategic recommendations.
What You Will Bring:
Required
- Bachelor’s degree in Data Analytics, Business, Marketing, Economics, or related field
- 2–5+ years of experience in data analytics, preferably in CPG, food distribution, or retail
- Strong experience with syndicated POS data (Spins, Circana/IRI, Nielsen, etc.)
- Advanced proficiency in Excel; experience with BI tools (Power BI, Tableau) preferred
- Strong analytical thinking with the ability to turn data into actionable insights
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