Supply Chain Program Analyst

Job description

Job responsibilities

• Build Operational Intelligence: Design, build, and maintain production dashboards and automated reporting to track mission-critical supply chain metrics (On-Time Delivery, supplier quality/yield, Purchase Price…
• Analyze & De-Risk the Supply Chain: Perform root-cause analysis on delivery bottlenecks, supplier capacity constraints, and cost drivers to proactively mitigate risks before they impact hardware build schedules.
• Utilize exception and action reporting to resolve blockers and eliminate supply chain constraints
• Bridge Engineering & Procurement: Partner with Product Sourcing Engineers and Program Managers during New Product Introduction (NPI) to track Bill of Materials (BOM) maturity, tooling readiness, and long-lead component…
• Drive Strategic Decision-Making: Synthesize complex data sets across multiple systems into concise, high-impact briefings and executive summaries for operational leadership.
• Scale Analytics Infrastructure: Assist in formalizing analytical procedures, establishing standardized reporting protocols, and automating recurring manual workflows across the supply chain organization.

Job requirements

• Bachelor’s degree in Supply Chain Management, Data Analytics, Computer Science, Industrial Engineering, Finance, Business Administration, or a related quantitative field. Master’s degree is a plus.
• Minimum of 3 years of professional experience in data analytics, supply chain management, or operations analysis with a heavy focus on reporting, data modeling, and business intelligence.
• Demonstrated technical proficiency with:
• Microsoft Excel: Expertise with advanced formulas, data modeling, macros, Power Query, pivot tables, and dynamic reporting.
• Microsoft PowerPoint: Proficiency with slide design to effectively communicate data-driven insights, operational risks, and program updates to cross-functional teams and leadership.
• BI / Data Visualization Tools: Hands-on experience building actionable dashboards in modern BI platforms (e.g., Palantir Foundry, Databricks, Power BI, etc).
• Strong working knowledge of core supply chain and manufacturing principles (ERP/MRP logic, BOM structures, lead-time variances, and inventory turns).
• Excellent communication and presentation skills, with a proven ability to translate complex data into clear, actionable narratives for cross-functional stakeholders.