Energy Data Analyst

Lumen Energy is automating clean energy deployment.
To start, we’re making getting a fully-financed clean energy system for a commercial building as easy as applying for a credit card. The scope of the opportunity is massive: out of 6 million commercial buildings in the US which are responsible for 16% of all greenhouse gas emissions, most of which could save money with solar, fewer than 4% have solar systems today.
We make clean energy widely accessible by abstracting away the complexity of an underlying marketplace of installers, financiers and confusing electrical jargon. Our challenge is to parse massive datasets, deploy advanced models behind the scenes, pre-package financing, all so that we can deliver simple, delightful, and actionable offers to our customers.
Once the decision has been made to go solar, we support our customers with software tools that help manage the processes of securing financing, evaluating bids and selecting a contractor and finally, managing a live solar deployment.

Who We Are
We are a small team of scientists, engineers, designers and entrepreneurs committed to powering our world with clean energy.  We build on experience at Stripe, Google X, Shopify, and US national labs. While we're early in our journey, we are live with customers, funded by exceptional investors (soon to be announced), and looking to bring on a core team member who can help us expand our impact.  
We are a remote-first company, but get together regularly in San Francisco and are looking for teammates who work within 3 time zones of Pacific Time. We are a data-first clean energy project development team looking for an experienced data analyst who is passionate about advancing carbon neutrality. On our team, this will be happen through mass adoption of solar among commercial and industrial facility owners.
As our Energy Data Analyst, you will report to our Head of Project Operations to inform decisions on both a per-project and systems basis. You will be challenged to develop and expand your expertise in clean energy, focusing on solar and storage, and the technical and policy details that govern investment decision in clean energy projects.

What you'll do:

• Manage and synthesize energy data, including facility loads, tariffs and their selection drivers, and on-site energy production and storage
• Advance rapid and precise modeling of profitable clean energy solutions for commercial and industrial buildings
• Make decisions based on your research about on-site energy systems
• Research utility and jurisdictional rules regarding on-site energy; sync your research initiatives and findings with those of others on the team
• Become the in-house expert on commercial utility tariffs

Qualifications:

• Experience in the solar and/or renewables field is a must
• 2 years minimum experience working directly with energy data in solar, energy storage, or energy efficiency fields
• Understanding of utility tariffs and C&I-scale energy usage
• Data cleaning and management of large datasets (100K+ data points at minimum)
• Experience collecting, extracting, and aggregating data from disparate and unstructured sources from both internal and client sources
• You are self-motivated, proactive, and ready to take ownership of your work, and help us identify work to be done.
• Ability to think through clean energy scenarios for commercial & industrial facilities
• Strong organizational skills and the ability to successfully manage competing tasks and priorities to meet established and changing deadlines
• 4 year degree and/or equivalent & relevant professional experience

Stand-out qualities:

• Deep interest in advancing clean energy adoption
• Experience using Energy Toolbase or energy modeling to turn energy data into financial data
• Experience with solar system design software (i.e. HelioScope, Aurora)
• Familiarity with electric utility policy and tariffs
• Public policy knowledge
• Desire to work closely with other team members to assist with relevant tasks, facilitate learning new skills, and help resolve emerging problems on different projects.
• Relevant post-grad education

We are proud to be an equal opportunity workplace committed to building a team culture that celebrates diversity and inclusion.