About the position
This is an opportunity to join an industry leading renewable energy venture with strong private equity backing that is focused on the development, execution, and operations of dynamic utility-scale energy storage projects. They are at the forefront of the industry, have accumulated over 9GW+ nationwide portfolio of projects that include a utility-scale fleet of grid-connected operating standalone battery storage assets. The position will help facilitate quantitative assessments and analysis that are the crux of the portfolio's success. The incumbent will also help pioneer the build-out and utilization of a proprietary battery storage / energy storage management platform for utility-scale renewable projects. Fast paced work culture built for growth. They are committed to creating more renewable infrastructure solutions for the grid and are offering industry competitive compensation packages to their employees leading the drive to meet company goals. Other perks included a competitive base salary, open PTO policy, flex work hours, 401K match, solid health benefits, the opportunity to work with a transparent Executive Leadership Team..and more.
Responsibilities
- Lead the charge on improving the company’s custom battery dispatch model.
- Run back-cast studies to support market research, siting, M&A, and finance efforts.
- Analyze performance, spot bidding trends, track rule changes, and suggest smarter, risk-aware trading tweaks.
- Help run and refine the fundamentals-based price forecasting process.
- Contribute to better DA/RT bidding strategies.
- Dive into internal and external data to build models that reveal trends and drive strategic insights.
- Work closely with the Fundamentals, Trading, Data Science, and Commercial teams to tackle deep-dive analyses and shape long-term revenue forecasts for BESS.
Requirements
- Bachelor’s in Engineering, Economics, or a related field (Master’s preferred).
- 7+ years of hands-on experience in energy market modeling, optimization tools (like Dayzer or Aurora), and deep dives into ERCOT and BESS analytics.
- Comfortable coding in Python, building data pipelines, and linking up models with SQL.
- Proficient in Power BI and the full Microsoft Office suite.
- Strong grasp of how energy markets tick—from LMPs to congestion.
- Ability to translate complex analysis into insights for both technical and non-technical audiences.
- Experience juggling projects in fast-paced, cross-functional settings.
- Sharp, data-driven approach to problem-solving and decision-making.
Benefits
- Competitive base salary
- Open PTO policy
- Flex work hours
- 401K match
- Solid health benefits
- Opportunity to work with a transparent Executive Leadership Team
