We are seeking individuals to join as Manager, Commercial Analytics to support commercial optimization and portfolio management of esVolta’s battery storage portfolio (with a focus in CAISO), while also supporting broader commercial analytics and reporting across the full portfolio. This role reports to the lead CAISO Portfolio Manager and partners closely with internal teams and external stakeholders. The Manager will be a key contributor to the optimization of our CAISO fleet of assets, own recurring forecasting and performance reporting, synthesize vendor and third-party inputs into clear takeaways, and build AI-enabled workflows and reusable tooling (including Custom GPTs) that improve speed, quality, and repeatability across the organization. Mission Deliver decision-ready analytics and forecasting for Commercial Operations, with a CAISO focus, while building scalable processes and AI-enabled tools that materially improve execution. What Success Looks Like in the First 12 Months Vendor reporting cadence: Establish a consistent vendor/third-party intake and dissemination cadence that produces concise takeaways and action items focused on revenue and risk drivers. Monthly forecast updates: Own monthly revenue forecast updates end-to-end, including assumptions, variance narratives, and clean outputs ready to circulate with minimal rework. Quarterly forecast reports: Streamline and automate the quarterly revenue forecast reporting process to improve turnaround time, consistency, and traceability. CAISO optimization independence: Independently support day-to-day CAISO optimization and performance monitoring, consistently meeting or exceeding internal revenue capture expectations. Long-term price forecasting: Develop a scalable long-term hourly price forecast approach for key ISOs, with priority coverage of CAISO, ERCOT and SPP. Structured transaction analytics: Produce decision-grade commercial analytics that support evaluation and origination of structured transactions across CAISO, ERCOT and SPP. Portfolio performance reporting: Improve performance tracking and reporting so leadership updates can be produced quickly with clear narratives, key metrics, and executive-ready visuals. AI leverage at scale: Stand up multiple Custom GPTs plus broader workflow automation/reusable tooling that materially reduces cycle time on recurring research, analysis, reporting, and drafting. Documentation and standards: Publish clear SOPs for core analytics/reporting workflows and maintain an organized repository so outputs are easy to find, reuse, and audit. Stakeholder representation and communications: Reliably and confidently represent the team with senior internal and external stakeholders, owning data quality and ensuring communications align with the broader team and company narrative.
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Job Type
Full-time
Career Level
Manager
Number of Employees
11-50 employees