About Common Energy
Common Energy is revolutionizing the energy sector. Our platform enables homeowners and businesses to support new clean energy projects, lower carbon emissions, and save money on their electricity. There is no on-site installation and signing up only takes a few minutes. As such, we are a key part of the solution to mitigate global climate change.
Common Energy is backed by one of the country’s leading impact investors. Our board and advisors include executives from across the energy sector, including Google and President Obama’s cabinet.
Responsibilities
- Develop an automated credit allocation system using Python to streamline and enhance efficiency.
- Optimize data extraction from utility reports and build a centralized database for tracking allocations and key performance metrics.
- Provide data-driven insights to support cross-functional teams with customer energy allocation analysis.
- Collaborate across teams - including operations, product and software - to improve, automate, and scale critical customer processes.
If you’re our ideal candidate:
You have had at least one relevant data/analysis-focused work experience (full-time or internship)
You are pursuing or have completed an MA/MS degree in engineering, science, or a related, data-focused field
You are based in New York City
Bonus:
You have working knowledge of Python in the context of data engineering (or a different language and you are excited to learn Python)
Hours, Compensation and Benefits
- $24/hour - during trial internship period and $90k after conversion to full-time
- Paid lunch on days in the office
- Work with the country’s leading experts on renewable energy to save the earth!
- One mission, one team, no politics
Top Skills
Common Energy New York, New York, USA Office
201 Varick St, New York, NY, United States, 10014
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