Commercial Analyst

Staff Commercial Analyst

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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.

We have signed contracts with leading electric utilities across the United States and production of our iron‑air batteries is underway at our first high‑volume manufacturing facility in West Virginia.

The Business Development & Analytics Team at Form Energy is looking for a professional to support the Commercial Analytics Group. As a senior member of the analytics team, you will work closely with Form’s Commercial Operations Team, Battery Product Management Team, and other Form teams to develop customer accounts, ultimately resulting in deployments of Form Energy’s multi‑day storage product. In these engagements, you will lead the analytics team’s effort to translate customer needs and pain points into a quantifiable framework.

You will use, or manage the use of, a variety of data and modeling tools in conjunction with commercial acumen and other techniques to determine the suitable project configurations (mix of storage and other technologies), quantify the value that Form Energy’s product can deliver to customers, and define the drivers of that value.

• Provide and/or manage the core value analysis that drives our project proposals for our customers by mapping customer requirements to economic and optimization model specifications, aggregating and cleaning data, and setting up and running complex optimization‑based models.
• Interpret and visualize model outputs (“storytelling with data”) and perform simple financial analysis (quick pro‑forma modeling) to effectively communicate value.
• Be the voice of the value proposition / analysis for the customers in Form’s internal deal processes.
• Work with Form’s Analytics Product Management, Software Engineering, and Commercial Operations teams to improve our processes around analytics projects, resulting in faster, more effective, and more profitable engagements.
• Formulate production‑quality requirements for developing new tools or features that allow Form to communicate or deliver differentiated value.
• Create collateral—slides, memos, papers—and storytelling techniques to communicate deeply technical and complex analyses in a clear and concise fashion to internal and external stakeholders.

• Bachelor’s / Master’s degree in economics, engineering, mathematics, or other technical subjects.
• 5 to 10 years commercial experience (depending on seniority level targeted and degree(s)), or a combination of graduate school and experience in market modeling, energy trading, or financial analysis within the power sector, renewable energy, or energy storage space.
• Deep understanding of U.S. power market fundamentals and dynamics; experience with EMEA and/or APAC markets desirable.
• Ability to solve problems at the interface of optimization, energy, and project development.
• Ability to collect and organize large data sets, run extensive quantitative analysis to address complex questions, and present results in clear, compelling ways.
• Experience scoping and managing projects that rely on complex, data‑intensive models.
• Experience with commercial facing account and project management.
• Excellent communication and collaboration skills with the ability to effectively interface with the software and business development teams.
• Familiarity using Python or other data tools…