Senior Analytics Engineer

Senior Analytics Engineer WHO WE ARE Kin makes life simpler, more affordable, and better for homeowners — especially in the places where climate risks, rising costs, and outdated systems make it harder. We start with smarter homeowners insurance and expand to everything homeowners need to thrive. Using data, technology, and thoughtful human support, we’re building products that are clear, fair, and help homeowners feel confident — so homeowners aren’t left behind when they need help most. Founded in 2016, Kin is a remote-first employer with Kinfolk across more than 35 states. We serve customers in 13 states (and counting). Our disciplined growth, strong customer satisfaction, and focus on long-term sustainability fosters outstanding growth, attracts marquee investors, and earns recognition and accolades, including: - Built In Chicago's Best Places to Work, Midsize Companies (2021-2026) - Forbes' America's Best Startup Employers (2021-2024) - Inc. 5000 Fastest-Growing Private Companies - Forbes’ Fintech 50 (2025-2026) - Great Places to Work Certified (2024-2026) Most importantly, we’re building Kin to be a place where people do meaningful work with real impact — for our customers, our communities, and each other. We're excited to tell you more about how you can contribute to our rapid growth, strong unit economics, profitability, and excellent customer ratings. To learn more about how we work and what we’re building, visit kin.com http://kin.com and see how we work https://www.linkedin.com/company/kin-insurance/life/kin/. SO WHAT’S THE ROLE? As a Senior Analytics Engineer, you’ll bridge the gap between data engineering and business intelligence—building the models, semantic layers, and self-service tools that make Kin’s data trustworthy and accessible. You’ll focus on the dimensional models of our data lakehouse, transforming curated data into business-ready models and metrics. You’ll also own Looker’s semantic layer (or similar BI platform), designing and maintaining semantic models, explores, and dashboards that empower analysts and decision-makers across the company. WHAT YOU’LL DO - Develop and maintain Kin’s Looker semantic layer, including LookML views, explores, and user-friendly dashboards - Partner with domain data engineers to standardize definitions, metrics, and calculations while performing data analysis, validation, and exception reporting across business lines - Support and administer Looker or similar BI platform (permissions, performance tuning, content lifecycle, QA) - Model and maintain dimensional models to support enterprise analytics and reporting - Collaborate with Finance, Marketing, and Product to deliver and maintain high-impact reports and KPIs - Implement data quality monitoring for trusted business reporting - Champion documentation and reusable data patterns for BI development - Partner with the broader data platform team to evolve our Lakehouse and data governance practices THE SKILLS TO SUCCEED - 3–5+ years in analytics engineering, BI engineering, or dimensional modeling roles - Advanced SQL knowledge and experience transforming raw data from multiple sources into an enterprise data warehouse - Hands-on experience with Looker or a similar BI platform (e.g., Tableau, Power BI, Mode) including semantic modeling, explores, and dashboard design - Familiarity with Databricks, Snowflake, or Redshift in a lakehouse or warehouse context - Strong understanding of dimensional modeling, lakehouses, and ELT best practices - Excellent communication and stakeholder-facing skills—you can translate business needs into data solutions - Passion for data accuracy, consistency, and self-service analytics - (Bonus) Experience with Python, Git-based workflows, or BI admin automation YOU SHOULD JOIN US IF… - You want to help shape the foundation of analytics at a fast-growing insurtech - You love building data models that drive real-world decisions - You enjoy collaborating with engi ... (truncated, view full listing at source)