Inventory Analyst

5.11•Costa Mesa, CA

44d•$70,000 - $80,000

About The Position

Born in Yosemite, forged in Quantico and built for adventure. 5.11 is a purpose-driven lifestyle brand, rooted in performance, durability, and versatility. Since 1979, we’ve created gear and apparel for people who live life without limits, delivering gear and apparel that empower them to push boundaries every day. This isn’t a report-pulling role. We’re looking for someone who sees inventory as a puzzle worth solving and enjoys digging into data to understand what’s really happening, why it’s happening, and what we should do next. As an Inventory Analyst, you’ll help shape how 5.11 uses Databricks and modern analytics to make smarter decisions across inventory, planning, and distribution operations. You’ll work with large datasets, a high volume of SKUs, and a constantly evolving business, turning complexity into clear insights and actionable recommendations. Your work will directly impact inventory productivity, profitability, sell-through performance, markdown efficiency, and distribution center execution.

Requirements

Bachelor’s degree or equivalent relevant experience
3+ years of experience in Inventory, Supply Chain, Allocation, Planning, or S&OP
Strong understanding of inventory metrics such as sell-through, inventory turns, fill rate, allocation, and margin
Advanced Excel skills
Strong analytical skills and experience working with large datasets
Ability to work independently in a fast-paced, high-SKU environment
Strong communication and cross-functional collaboration skills

Nice To Haves

Experience writing SQL queries or working with modern analytics tools
Familiarity with Databricks, Power BI, Tableau, or similar platforms
ERP experience required; Microsoft Dynamics 365 strongly preferred
Experience in retail, apparel, footwear, or other SKU-intensive industries

Responsibilities

Analyze inventory performance across channels, product categories, and lifecycle stages to identify risks and opportunities
Monitor key metrics including sell-through, productivity, inventory aging, and service levels
Identify slow-moving inventory and recommend strategies to improve margin recovery
Support end-of-life planning and markdown strategies with data-driven insights
Use analytics platforms such as Databricks, SQL, and BI tools to develop reporting that supports inventory strategy
Build scalable dashboards and KPI reporting to provide clear visibility into inventory performance
Translate complex data into clear insights and actionable recommendations
Improve reporting accuracy, automation, and usability over time
Provide reporting and analysis to support planning team decisions
Identify root causes behind forecast misses, inventory gaps, and excess inventory
Partner cross-functionally to align inventory strategies with broader business priorities
Develop reporting that helps optimize distribution center focus and operational priorities
Identify bottlenecks and inventory inefficiencies through data analysis
Support strategies that improve distribution center throughput and execution