Senior Financial Analyst

How You Will Help:

• Own forecasting, budgeting, and monthly close support for the Columbia manufacturing site, with a strong focus on cost, productivity, and throughput.
• Build and maintain Power BI dashboards that connect financial results with operational drivers (labor hours, scrap, downtime, yields, inventory turns).
• Partner directly with operations leaders to turn real-time and automated insights into specific actions that improve margin, efficiency, and working capital.
• Analyze labor efficiency, overhead absorption, material usage, and conversion cost using data-driven and, where applicable, predictive techniques.
• Support capital investments, make-vs-buy decisions, and continuous improvement initiatives through practical scenario modeling and AI-assisted analysis.

• Support standard cost development, cost rollups, and annual updates with a clear understanding of routing, BOMs, labor standards, and overhead drivers.
• Investigate and explain purchase price, usage, labor, and overhead variances — clearly separating operating issues from accounting noise.
• Improve inventory accuracy and visibility through cycle count analysis, reserves, and data-enabled variance tracking.
• Ensure compliance with corporate policies while continuously improving the speed, accuracy, and automation of plant financial reporting.

• Act as the finance partner to plant leadership — not just reporting results, but challenging assumptions and shaping decisions.
• Deliver clear, operator-level insights through dashboards and visuals that resonate on the shop floor as well as in leadership reviews.
• Support lean, productivity, and continuous improvement initiatives with financial rigor grounded in real operational drivers.

What You Will Bring:

• 5+ years of manufacturing finance experience with strong exposure to standard costing and plant operations.
• Working knowledge of labor efficiency, scrap, downtime, absorption, and inventory mechanics.
• Advanced Excel and financial modeling skills; ERP experience (SAP, Oracle, M3 preferred).
• Hands-on experience with Power BI (or similar tools) — building dashboards that link operational KPIs to financial outcomes.
• Comfort using emerging AI tools to accelerate analysis, forecasting, variance detection, or scenario modeling.
• Ability to explain complex financial results to non-financial, operations-focused audiences.