Inventory Analyst

Role Summary

Inventory Analyst – Inventory Accuracy & Compliance, located in San Jose. This role sits at the intersection of operations, quality, and finance, with a focus on cycle counts, audit counts, reconciliation, and root-cause elimination. You will partner with warehouse operations, production, QC, and accounting to deliver audit-ready records, sustain high location/lot accuracy, and reduce shrink and aging risk. You will design and execute a risk-based cycle count framework, perform inventory transactions, resolve discrepancies, and build dashboards to drive corrective actions, ensuring data accuracy and SOX compliance.

Responsibilities

• Cycle Count Program Ownership: Build and maintain an ABC/usage-based schedule with counts, independent recount rules, and defined performance standards; release weekly waves and track schedule adherence of counts.
• Inventory Accuracy & Reconciliation: Monitor location/lot accuracy daily, reconcile variances to source transactions, and maintain a complete audit trail.
• Discrepancy Investigation & RCA: Lead structured root-cause analysis and corrective actions across receiving, put-away, picking, production backflush, and shipping; verify effectiveness.
• Traceability & Compliance: Sustain lot/serial identification, labeling, and records aligned to support MRB and provide evidence for internal/external audits and SOX walkthroughs.
• ERP/WMS Stewardship: Validate master data, ensure transaction discipline, and partner on ECO/BOM changes that impact consumption and inventory balances.
• Reporting & Insights: Build Power BI/Excel/SQL reports for inventory accuracy, location accuracy, variance aging, count productivity, and E&O/scrap; translate findings into prioritized actions for operations and finance.
• Stakeholder Engagement: Run weekly huddles with Warehouse/Production/QC/Finance; escalate blockers, align materiality thresholds, and communicate status, risks, and decisions.
• SOPs, Training & Mentorship: Author/update SOP/WI for counting, recounts, adjustments, labeling, and location/bin hygiene; coach Cycle Count Associates and floor leads on best practices.
• Continuous Improvement & Projects: Lead kaizen events on labeling, layout, scanning, and data quality, space organization.

Qualifications

• Required: Bachelor’s degree in Supply Chain, Finance, Accounting, Operations, Business Analytics, Industrial Engineering, or related field
• Required: 5–7 years in inventory control/analysis within manufacturing, with end-to-end ownership of ABC/usage-based cycle counts; discrepancy RCA/closure; MAS (or similar ERP) transactions; lot/serial traceability; kanban card management; strong Power BI/Excel; SQL preferred
• Required: Advanced proficiency in Power BI, SQL, and Excel, with experience in automation and scripting
• Required: Proven experience with inventory planning, demand forecasting, MRP, ERP systems
• Required: Experience with predictive modeling, regression analysis, and correlation techniques
• Required: Ability to distinguish signal from noise in complex datasets, providing clear insights for leadership
• Required: Proven track record of developing scalable, long-term analytical solutions
• Required: Strong project management skills with the ability to lead and execute initiatives
• Required: Strong business acumen and understanding of how supply chain data impacts cost, service, and capacity
• Required: Strong understanding of financial and operational metrics and how they influence business performance
• Required: Clear and confident communication skills, including stakeholder-facing presentations
• Preferred: Experience working with Salesforce, Smartsheet, or other business intelligence tools
• Preferred: Experience building dashboards and tools that drive operational execution and planning decisions
• Preferred: Experience in a warehouse, manufacturing or production environment
• Preferred: Familiarity with production scheduling, capacity planning, and BOM structures
• Preferred: Statistical or ML modeling experience for forecast or simulation
• Preferred: Knowledge of Lean, Six Sigma, or process improvement methodologies
• Preferred: Experience working with cross-functional data to enable full-picture decision-making

Education

• Bachelor’s degree in Supply Chain, Finance, Accounting, Operations, Business Analytics, Industrial Engineering, or related field

Skills

• Power BI
• SQL
• Excel
• ERP systems (MAS or similar)
• Data analytics, dashboards, and reporting
• Root-cause analysis and problem-solving