Senior Supply Chain Analyst

About the role

The Sr Analyst Cloud Supply & Demand Operations is a senior, hands-on execution and analytics role supporting large CSP accounts. This role represents an up-level from Analyst II and is designed for an individual who can operate independently, manage complex and often unclean datasets, and support variable-capacity customer environments.

Key Responsibilities

• Serve as the primary operational execution partner to senior Account Managers for large, high-volume CSP accounts.
• Independently manage day-to-day execution across backlog, forecast updates, purchase order reconciliation, CTU tracking, shipment alignment, inventory positioning, and exception management.
• Own complex execution workflows with minimal supervision and proactively identify gaps, risks, and misalignment.
• Analyze historical trends, customer forecasts, and demand signals to support accurate supply planning.
• Support execution and planning across extended operational horizons, including forward-looking and scenario-based analysis.
• Translate incomplete, inconsistent, or unclean datasets into actionable insights for Account Managers and leadership.
• Develop, maintain, and validate operational reports, scorecards, dashboards, and KPIs supporting Cloud execution.
• Ensure accuracy and consistency across forecasting, backlog, purchase orders, inventory, and shipment reporting.
• Drive continuous improvement in reporting logic, assumptions, and data hygiene.
• Lead data preparation, root-cause analysis, and recommendation development for customer and internal escalations.
• Partner cross-functionally with Sales, Production Planning, Logistics, Finance, and Revenue Operations to resolve execution issues.
• Clearly communicate risks, trade-offs, and execution status to stakeholders at multiple levels.

Qualifications

• Bachelor's degree in Business, Supply Chain, Data Analytics, or a related field.
• 5-7+ years of experience in supply chain, operations, analytics, or a similar fast-paced, complex environment.
• Demonstrated ability to operate independently and manage complex, high-volume datasets.
• Strong analytical, organizational, and communication skills.