Data Analyst at Haven Energy
Austin, TX — contract
About Haven Energy At Haven Energy, we're on a mission to accelerate the adoption of clean energy technologies by helping homeowners install solar and battery systems. We specialize in deploying battery systems to build VPPs through strategic partnerships with utilities, non-profits, and government agencies, with a particular focus on low and moderate income households. As a growing startup, we're looking for dynamic, driven professionals who want to make a real impact in the clean energy space. Summary of Role Haven is looking for a contract analyst to do hands-on analytical work across the business, with an expected emphasis on our marketing and sales funnel. You’ll be looking at where leads come from, where they stall, which channels and campaigns produce installs rather than just form fills, and what our real cost per acquisition looks like given a long, multi-step sales cycle. But the role isn't limited to it. We're a small team with a lot of open questions. Priorities may shift into operations, installation throughput, program performance, or wherever the most valuable question happens to be that month. Across all of it, the common thread is the same: when the answer depends on how something is counted (e.g. what a "qualified lead" is, when a deal is really attributable to a channel, what counts as a completed install) you'll work out a defensible definition, document it, implement it in the data, and explain the reasoning in plain language. You'll work on top of our existing stack (Snowflake, Fivetran, dbt) rather than building infrastructure. AI tooling handles much of the routine pipeline work, and our software engineers are available for harder infrastructure problems. What we need from you is analytical judgment and the ability to communicate what you find to a non-technical audience. This is a remote contract engagement at roughly 30 hours per week. Compensation depends on experience. What You'll Do Analyze the conversion funnel Map how leads move from first touch through qualification, sale, and install Write documentation on current implementations and proposals for new analytics approaches Analyze conversion rates by channel, campaign, geography, program, and customer segment Evaluate channel and campaign performance against downstream outcomes (installs, revenue), not just top-of-funnel volume Work out CAC and payback by channel in a way that holds up given our sales cycle and partner-driven programs Take on analysis wherever it's most needed Dig into questions from across the business including, installation throughput, program and partner performance, customer outcomes Investigate specific questions as they come up, and surface things nobody thought to ask about Bring a recommendation, not just a chart Pin down how things get counted Turn fuzzy questions ("is this channel working?") into precise, well-scoped metrics Where teams count the same thing differently, work with them to land on one clear definition then documen