Staff Analytics Engineer

Kin
United States
Workplace: RemoteFull timeUSD 159,000 - 187,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 8+ yearsSkills: ["Communication","Leadership","Problem-solving","Collaboration","Mentorship"]

Technical anchor for an analytics engineering team, owning ontology design, semantic modeling, and patterns your team builds on. Leads ontology objects and semantic/dimensional models, partners with product/business to translate goals into durable technical plans, and drives data-as-a-product and AI-native tooling within a data mesh.

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FursaFursa
Kin
Kin
2 months ago

Staff Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Technical anchor for an analytics engineering team, owning ontology design, semantic modeling, and patterns your team builds on. Leads ontology objects and semantic/dimensional models, partners with product/business to translate goals into durable technical plans, and drives data-as-a-product and AI-native tooling within a data mesh.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Own the hardest modeling and architecture in your team's scope — ontology objects and the dimensional/semantic models that serve them downstream
  • •Act as a technical thought partner to product and business leaders: translate goals into clear, durable technical plans
  • •Take end-to-end ownership of your team's most business-critical initiatives
  • •Align your team's models with core entities (customer, policy, claim) for consistency across the data mesh
  • •Define modeling patterns, naming conventions, and reference implementations to share standards

Pay and Benefits

Salary: USD 159,000 - 187,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionRsus401kRemote WorkPaid Leave

Key Requirements

  • •8+ years in analytics engineering, BI engineering, or data modeling roles with a track record of being the technical anchor on complex, cross-cutting data work
  • •Deep expertise in semantic and data modeling and the judgment to choose ontology-driven vs dimensional models
  • •Hands-on experience with an ontology or object-based semantic layer (e.g., Palantir Foundry Ontology) or transferable modeling experience
  • •Fluency in dimensional modeling for BI consumption (Looker/LookML) downstream of a source-of-truth model
  • •Experience with data mesh, data-as-a-product, and domain-oriented architecture (or a strong conviction about federated data ownership)
Experience:8+ yearsInsuranceData analyticsData mesh
Skills:CommunicationLeadershipProblem-solvingCollaborationMentorship
Languages:English
Tech Stack:LookerLookMLDatabricksPalantir Foundry OntologyClaudeClaude CodeDatabricks GenieSQLPython

Company Brief

Kin
Direct-to-consumer digital home insurance provider using property data and a technology platform to price, underwrite, and service homeowners' policies across multiple U.S. states.
Industry: InsurTech
Company Size: Large (251 to 1,000 employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: Chicago, United States
Founded: 2016
Glassdoor
Glassdoor: 3.3
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