Senior Manager, Category & Omni Insights

Role Description

We are seeking a Senior Manager, Category & Omni Insights to lead category, shopper, and omnichannel analytics across the business. This role owns category insights, enterprise reporting, and syndicated data (NielsenIQ) - and translates data into clear, actionable growth plans for our top strategic retail partners. This role goes beyond reporting - bringing together category, customer, and shopper insights into a clear view of where we can grow and how to unlock it. The role will also leverage AI and advanced analytics as a force multiplier to accelerate insight generation, improve decision-making, and scale impact across the organization.

What This Role Owns

• Category analytics and syndicated data (NielsenIQ)
• Enterprise reporting and single source of truth
• Omni scorecard (store, digital, and shopper)
• Retailer-specific category growth insight initiatives

How You Will Make an Impact

• Category Analytics and Syndicated Data
  • Lead category performance analysis (share, ACV, TDPs, velocity, competitive trends)
  • Own relationship with NielsenIQ, including data access, tools, and governance
  • Translate category trends into opportunities for assortment, pricing, and shelf strategy execution
• Enterprise Reporting (Single Source of Truth)
  • Build and streamline reporting across the organization
  • Deliver consistent, trusted views of performance (weekly, monthly, executive dashboards)
  • Create, maintain and publish custom product totals within syndicated database, allowing organization to view business in manner most relevant to the categories we compete in
  • Eliminate fragmented reporting and create one aligned narrative across teams
  • Leverage automation and AI tools to improve speed, accuracy, and accessibility of reporting
• Omni Scorecard (Store, Digital, and Shopper)
  • Integrate store, digital, and shopper metrics into one view
  • Identify gaps and opportunities, quantify size of prize, and prioritize actions
  • Use advanced analytics to surface patterns and opportunities
  • Lead a regular business cadence (e.g., quarterly reviews) using the omni scorecard to identify gaps, prioritize actions, and track progress across key retail partners
• Retailer-Specific Category Insights
  • Develop customized category deep dives for top retail partners
  • Identify growth drivers, assortment, pricing, and shopper gaps
  • Translate insights into actionable growth plans
  • Build customer-ready stories and quantify impact
• Retailer-Level Shopper Insights and Growth Levers
  • Analyze shopper behavior at the retailer level, including penetration vs category, repeat rates, and basket dynamics
  • Identify actions to improve retention, trade-up, and lifetime value within each retailer
  • Apply shopper insights to inform assortment, merchandising, and customer growth strategies
  • Partner with internal insights team to leverage brand-level shopper insights and translate them into retailer-specific action
• Advanced Analytics and Forecasting
  • Support planning with forward-looking insights
  • Identify high-opportunity stores, SKUs, and segments
  • Develop tools and models to guide decisions
• Executive Storytelling and Influence
  • Translate data into clear recommendations
  • Support customer and leadership presentations
  • Focus on 'so what / now what'

Qualifications

• 7–10+ years in CPG analytics or category management
• Deep experience with:
  • Category analytics (ACV, TDPs, velocity, share)
  • Syndicated data ownership (NielsenIQ, Discover, Circana Liquid Data, etc)
• Proven ability to:
  • Own and simplify reporting across teams, creating a single, trusted source of truth
  • Translate data into clear, actionable growth plans (not just insights)
  • Quantify opportunities and “size of prize” to drive prioritization
• Experience developing customer-facing category stories, including supporting and presenting in line reviews, JBPs, or similar settings
• Ability to confidently represent analytics in customer discussions, including explaining, simplifying, and defending recommendations
• Experience leveraging data, automation, or AI tools to improve speed and quality of analysis
• Strong cross-functional leadership across Sales, Category, and eCommerce teams
• Excellent communication skills with the ability to simplify complex data into clear, compelling narratives

Benefits

• The range for this position is: $165,000 - $195,000
• Competitive salary and an excellent benefits package, including:
  • Medical, dental and vision insurance
  • Basic and optional life insurance
  • Short- and long-term disability protection
  • Flexible spending accounts
  • 401(k) plan with company match
  • Paid parental leave
  • Pet insurance
  • Tuition assistance
  • A generous PTO plan and so much more!