Senior Research Analyst

About Cleanview

The role

Key responsibilities

• Own the end-to-end process of adding new data to our platform based on customer needs (e.g., finding and adding newly planned data centers, enriching interconnection queue projects with developer information, project status tracking, etc.)
• Help develop new data platform features and products based on customer feedback and what you learn doing research (e.g. suggesting new fields we could capture or new project trackers entirely).
• Contribute to research reports like the ones we've published on topics like behind-the-meter data centers, hyperscaler power strategies, and more.
• Share your insights and what you're seeing in your research with our customers on calls.
• Work with our CEO to improve our research methodology to continuously improve the quality of data based on what you learn.

Required skills and experience

• You're familiar with how power projects, data centers, and/or energy infrastructure gets developed in the US. You're familiar with concepts like interconnection queues, project development stages, and the public data sources that track them (EIA filings, FERC documents, state regulatory records, etc.). You don't need to be a 10-year industry veteran, but you need enough context to look at a project record and understand what you're seeing without someone walking you through every field.
• You're a fast, resourceful researcher. You know how to dig through SEC filings, public spreadsheets, FERC applications, and news sources to find valuable information.
• Strong attention to detail and ability to validate data across multiple sources.
• Strong communication skills.
• Comfortable working independently and proposing process improvements.

Ideal skills (not required)

• You're comfortable with SQL and working directly in a Postgres database.
• You've managed remote workers or contractors before and know how to set up processes, templates, and QA checks that keep output quality high without micromanaging.
• Experience with AI/LLM tools for research or data workflows. You use LLMs in your personal life and have built projects to automate mundane tasks — whether as a side project or in a job.
• You've built data pipelines using Python.
• Experience at an energy data, market intelligence, or project development company.
• Experience writing reports or other analysis based on data.

Why this role

• You'll see the direct impact of your work. When you add a new data source or fix a coverage gap, customers notice immediately and it drives revenue.
• You'll have real autonomy. The founder will give you problems to solve and customer feedback to work from, not task lists to execute.
• There's a clear growth path. Our company's revenue has grown by 500% in the last six months alone. As our company continues to grow, you'll have more opportunities to shape our product and the research we offer customers.
• You'll work with AI tools daily. We're building at the frontier of what's possible with LLM-assisted research, and you'll help shape those workflows.

Why not this role

• We want to build a small, lean team that prioritizes productivity and autonomy. If you're not interested in hands-on research work, this won't work — the first few months are deliberately in the weeds, and even after you build a team, you'll likely never be fully out of the data. We think proximity to the actual work is essential to success in this role.
• A small and lean team means a more independent work environment than you might find at a larger company. If you want to spend a few hours per day in team meetings and default to whiteboard sessions, this might not be a great fit.
• We're analysts, not advocates. Our goal is to describe the world as it is, not as we want it to be. That comes with the benefit of earning the trust of the country's leading media outlets, policymakers, and companies. But for someone who wants to do advocacy, it might be challenging.
• We like using AI. We're excited about how AI can enable us to achieve our mission, even if we are concerned about some of AI's negative impacts. We understand that some people dislike LLMs and empathize with that position. But that's not us.
• We practice low drama and low ego in our work. We disagree — that's healthy — but we do it calmly and constructively. If you're someone who thrives on passionate debates, strong personalities clashing, or being the loudest voice in the room, you probably won't enjoy working here.

Compensation & benefits

How to apply