Develop and analyze data-driven insights from analytics and reporting tools to provide actionable intelligence on the performance of the wholesale battery fleet, identifying trends, patterns, and areas for improvement to inform future strategic trading decisions and optimize business outcomes
Foster and communicate the understanding of Autobidder's performance, analyzing it against competitor benchmarks and simulated scenarios to inform business strategy
Define and report on clear key performance indicators (KPIs), and contribute ideas for improving field performance
Collaborate with cross-functional teams of algorithm engineers and software engineers to automate reporting tools and processes, ensuring seamless scalability and efficiency
Structure batch experiments through our proprietary simulation platform and conduct forensic analysis of outputs to explain performance and identify opportunities for algorithmic improvements
Participate in on-call rotations for Autobidder market operations
Facilitate and lead regular meetings with internal stakeholders to drive collaborative understanding and alignment on battery fleet performance metrics and strategies
What You’ll Bring
Proficiency in Python with the ability to develop, modify, and run analytical tools to extract insights from data
Degree in Economics, Engineering, or equivalent work experience
Experience with both energy and ancillary service products as well as with stationary storage
Exceptional data management skills, with the ability to work with large datasets, organize logically and efficiently, and extract actionable insights
Demonstrated meticulous attention to detail and an unwavering commitment to accuracy, ensuring data integrity and reliability
Clear and effective communication, both written and interpersonal, to convey complex insights and results to internal and external stakeholders
Ability to work effectively with cross-functional teams and produce and coordinate time-sensitive deliverables
Preferred, additional skills
Expertise in energy-related commodity trading or electricity market research
Experience with simulation techniques to evaluate, develop, and refine key performance indicators (KPIs), providing actionable insights that drive informed investment and trading decisions
Track record of positively impacting investment or trading decisions through your own market analysis and insights