Job Description
A Reporting Data Analyst, you will drive the reporting and analytics behind our sales and operations planning (S&OP) process for our portfolio of Adventure Sports brands, delivering insights across demand, supply, and inventory — leveraging AI tools embedded throughout how we analyze data and report on it.
You will partner with demand and supply planning, operations, finance, and commercial teams to build dashboards and recurring S&OP deliverables, consolidating large data sets from disparate, fragmented sources that require cleansing and reconciliation into clear narratives on risks, opportunities, and trends. AI fluency is a core requirement: you will be expected to actively use and continuously expand your use of AI tools across the reporting workflow.
This position reports to the Director of S&OP and is based out of our Irvine, CA office.
As the S&OP Data Analyst, you will have an opportunity to:
S&OP Reporting & Cadence
Support the monthly and weekly S&OP reporting cycle across demand, supply, inventory, and executive review meetings.
Build, maintain, and distribute recurring reports and dashboards that summarize plan vs. actual performance, forecast accuracy, and key supply chain KPIs.
Prepare clear, executive-ready PowerPoint summaries and pre-reads that highlight trends, risks, and recommended actions.
Maintain reporting calendars, trackers, and QA checklists to ensure on-time, accurate deliverables.
Use AI tools to draft executive narratives, summarize variances, and accelerate the production of recurring S&OP deliverables.
Demand, Supply & Inventory Analytics
Develop analyses that improve visibility into demand signals, supply plans, inventory positions, and service levels.
Track forecast accuracy, bias, MAPE, and other planning KPIs across categories, channels, and SKUs.
Monitor inventory health metrics including weeks of supply, excess and obsolete risk, and stockout exposure.
Partner with planning and operations to run root-cause analysis on plan deviations, surface early warnings, and quantify business impact.
Apply AI-assisted analysis to detect anomalies, explain drivers of forecast and inventory variance, and generate plain-language insights from large data sets.
Dashboards, Tools & Data