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Financial Analyst, Supply Chain

Form Energy · Operations

Pay
$111,826 – $139,777
Where
Berkeley, CA
Posted
Sep 10

Are you ready to build America’s energy future? Form Energy is an American manufacturing and energy technology company. We’re revolutionizing energy storage with cost-effective, multi-day technology designed to keep the electric grid secure and reliable, even during extended periods of stress. By strengthening the electric system and reimagining what’s possible, we’re giving clean energy a whole new form!

In recent years, Form Energy has earned a number of accolades, including being named by TIME as a “Best Invention”, MIT Technology Review as a “Top Climate Tech Company To Watch”, and Fast Company as “One of the Next Big Things In Tech”. We are making rapid progress on our mission of delivering energy storage for a better world, and our team is growing just as rapidly to meet demand.

What you'd do

  • Own cost tracking for Form's bill of materials (BOM) — partner with GSMs to capture quotes, validate cost roll-ups, and run down missing or outdated items
  • Support the purchase approval process and track spend against budget as production ramps
  • Assist with factory scrap tracking — dig into how the system captures scrap, identify variances against forecast, and build reporting that rolls up to the team's cost forecasts
  • Identify and execute cost-savings measures across Logistics (i.e., expedite reduction, load optimization, tariff exposure) as production scales up
  • Help prepare quarterly KPI reviews and biweekly cost syncs with executives, pulling together trended cost data and variance commentary
  • Partner cross-functionally with Accounting, Logistics, and GSMs to ensure material cost data is accurate, complete, and reported on time
  • Support ad hoc supply chain finance initiatives as needed — e.g., transportation management system (TMS) rollout, make-vs-buy analyses, tariff and duty exposure tracking
  • 3-5 years of relevant experience; manufacturing or supply chain background preferred, but not required for the right candidate
  • Strong Excel and analytical skills; comfort digging into large, complex datasets to find and resolve discrepancies
  • A strong attitude and genuine willingness to learn on the job — curiosity and follow-through matter as much as prior experience