| Location | San Francisco, CA |
| Commitment | Internship |
| Role | Strategy and Operations |
| Remote | 🏢🌴Hybrid |
| First listed | In the last 4 days |
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Job Description
The Company
At EV Realty, we’re building the infrastructure backbone that powers the electrification of next generation commercial fleets - one high-powered charging hub at a time.
We develop, own, and operate purpose-built EV charging hubs designed to solve the critical barrier to fleet electrification: access to reliable, low-cost, scalable grid power. Our Powered Properties® are strategically located to serve fleet customers where they operate, providing dedicated, secure charging solutions where and when they need it most. We build with reliability and scale in mind, delivering the infrastructure that mission-critical commercial fleets require to keep moving.
We believe in transparency, ownership, and building things the right way – for our customers and for our team. If you're excited to help build the new era of commercial transportation, we'd love to meet you.
The Role
As a Data Analytics Intern you will help build and maintain various analytics tools and processes that will support project siting decisions, related to the electric grid and/or customer acquisition, and directly enable EV Realty’s ability to operate in a wide range of markets. This role will support the vision, strategy roadmap, development, and continued improvement of these tools. The Data Analytics Intern will work primarily with the Data Science team but may require cross-collaboration with our Business Development, Real Estate, and Operations teams. This position is a summer internship.
The ideal candidate will be a self-starter, a natural problem solver who is highly adaptable, and an effective communicator; they will have a strong programmatic approach but also the flexibility and creativity to source, interpret, and utilize data in unconventional ways.
This role will be located in San Francisco, CA or Salt Lake City, UT.
EV Realty number of job openings over time by month
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