The all-in-one learning co-pilot. Backed by Y Combinator.
About the role
You will be Shepherd’s first dedicated Analytics Engineer and will report directly to the Data Lead. This is a high-ownership role for someone who can combine dimensional modeling and engineering discipline with the domain discovery and cross-functional collaboration required to establish trusted sources of truth. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Strong SQL skills and hands-on experience developing production data models with dbt
- Deep experience with dimensional modeling, including defining model grain, facts, dimensions, historical state, and relationships between business entities
- You have owned important analytical models beyond their initial implementation, including validation, documentation, maintenance, and consumer adoption
- You are comfortable learning an unfamiliar domain directly from subject-matter experts and translating incomplete or conflicting requirements into durable technical designs
- You can lead cross-functional migrations and earn adoption rather than treating model deployment as the end of the work
- You bring sound engineering judgment to analytical systems and value tested, understandable, reusable models over one-off outputs
More about this role
The world is building data centers, energy projects, hospitals, schools, and critical infrastructure. Every one of those projects needs insurance to move forward. Yet the process of getting that insurance still depends on scattered documents, manual work, and weeks of back-and-forth.
Shepherd is rebuilding commercial insurance with software, data, AI, and deep underwriting expertise. We started in construction and energy, where understanding the specifics of a project matters and better decisions have consequences far beyond a screen.
We develop insurance products, decide which risks to insure and how to price them, and partner with established insurers to back the coverage. We own the platform our team uses to turn complex submissions into coverage for the builders and operators shaping the world around us.
Our engineers, designers, underwriters, CX, and actuaries build together. The problems span turning messy documents into reliable data, making pricing more precise, and designing AI agents that can take on increasingly complex underwriting work.
The ambition is a platform where experts spend more time on judgment and relationships, supported by software that handles the work...
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