
Senior Analyst, Strategy & Analytics
- Los Angeles, CA
- $110,000-145,000 per year
- Permanent
- Full-time
- Model Network Expansion Tradeoffs
- Translate throughput, utilization, congestion, tariff exposure, and site friction into actionable planning frameworks.
- Help build a more adaptive understanding of “market demand” — beyond traditional top-down market sizing approaches (e.g., total addressable market estimates).
- Evaluate host-partner portfolios not just by volume, but by strategic value (contractual, grid readiness, real estate quality).
- Develop internal tooling and frameworks for “host-type” strategy across geographies.
- Support Strategic Deployment Plans & Drive Cross-Functional Intelligence
- Contribute to the design of annual/quarterly build plans, integrating BD pipelines, host relationships, and regional constraints.
- Identify over-concentrations, overlooked opportunities, and risks of ergodicity failure (i.e. repeated poor bets).
- Work with BD, Finance, Engineering, and Policy teams to build planning inputs that reflect how the system actually works, not just how we wish it did.
- Flag blind spots in assumptions and advocate for clarity under pressure.
- Support and Develop Data Infrastructure Environment
- Develop consistent and actionable data analysis on competitor landscape.
- Utilize cutting edge agentic models and support the development of integrated large language models into the corporate ecosystem.
- BA/BS Degree
- You love data, you love problem solving, and you’re motivated by building great products for a growing business.
- Don’t let Desired Experience dissuade you from applying. If you’re passionate about this, prove to us why you’re the best. We’ll listen.
- 3–5 years of experience in one or more of the following:
- EV infrastructure, logistics, utility/energy planning, urban systems, large-scale operations, infrastructure finance or operations research.
- Strategy, ops, or network expansion roles in scaling tech/hardware firm.
- Analytical rigor and practical fluency in:
- SQL / Snowflake
- Python
- Spatial data (e.g., GIS)
- Excel modeling
- Strong communication instincts — you can reduce complexity into clean frameworks and briefings for executives.
- Mental frameworks that fit our environment:
- Understands systems evolve — and do not always follow predictable or stable patterns over time.
- Believes forecasting is both quantitative and performative (it shapes decisions, not just reflects data).
- Understands the difference between noise and signal in asset-level performance.