Manager, Retail POS Insights & Analytics

Description

Funko Overview

Welcome to the Funko-verse, a world built on pure imagination, a land governed by the philosophy that stories matter, a universe comprised of characters from countless fandoms, a galaxy of once upon a times and happily ever afters.

But what does Funko do?

Funko is a purveyor of pop culture and licensed-focused collectibles company. Funko currently holds thousands of licenses and the rights to create tens of thousands of characters – one of the largest portfolios in the pop culture and collectibles industry. Funko’s Pop! Vinyl is the number one stylized vinyl collectible on the market, selling millions of figures to fans around the world.

The Manager, Retail POS Insights & Analytics will turn POS, sell-through, inventory, and retail performance data into actionable business insights. This role will serve as a key partner to Product Planning, Sales, Demand Planning, Finance, Business Intelligence, and senior leadership. This manager level, individual contributor role, has the opportunity to help shape and grow a broader retail insights function over time.

The ideal candidate is highly analytical, technically strong, commercially minded, and comfortable presenting insights to senior leaders, including SVPs and the CFO. This person will not only report what happened, but explain why it happened, what it means, and what actions should be taken.

What You’ll Do

• Analyze POS, sell-through, inventory, and retail performance data across accounts, categories, licenses, brands, and SKUs.
• Identify trends, risks, and opportunities that support better product planning, forecasting, replenishment, and lifecycle decisions.
• Build and maintain dashboards, scorecards, and recurring reports using tools such as Power BI, Excel, Power Query, and related platforms.
• Use DAX, Power Query, and data modeling to improve reporting accuracy, scalability, and speed to insight.
• Monitor new product launches and provide early reads on performance versus forecast, plan, and historical benchmarks.
• Partner with Product Planning, Sales, Demand Planning, Finance, and BI to support assortment, inventory, and retail strategy decisions.
• Prepare executive-ready summaries and recommendations for senior leadership.
• Improve reporting processes by reducing manual work, standardizing metrics, and automating recurring analysis where possible.
• Leverage AI-assisted tools such as Codex, Copilot, ChatGPT, or similar platforms to support analysis, automation, and workflow efficiency.
• Help establish scalable reporting and insight processes that can support future team or function growth.

Key Metrics

This role will work closely with metrics such as sell-through rate, sales velocity, weeks of supply, inventory on hand, forecast versus actuals, SKU productivity, account performance, category performance, new launch performance, replenishment opportunity, markdown risk, and product lifecycle performance.

What You’ll Bring

• Five (5) or more years working in product planning, analytics, and commercial consumer product organizations preferred.
• Experience in retail analytics, sales analysis, business intelligence, merchandising analytics, category management, or a related field.
• Strong understanding of POS data, sell-through, inventory metrics, retail KPIs, and product lifecycle performance.
• Ability to turn complex data into clear, actionable business recommendations.
• Advanced Excel skills.
• Strong Power BI experience, including dashboard development, data modeling, visualization, and recurring business reporting.
• Working knowledge of DAX and Power Query strongly preferred.
• Experience with AI-assisted analytics, coding, or automation tools such as Codex, Git Hub Copilot, ChatGPT, or similar tools preferred.
• Strong communication and storytelling…