Kin Insurance is a remote-first employer focused on making life simpler and more affordable for homeowners through innovative insurance solutions. The Senior Analytics Engineer will bridge the gap between data engineering and business intelligence, creating trustworthy and accessible data models and tools to empower decision-makers across the company.
Responsibilities:
- 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
Requirements:
- 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
- Experience with Python, Git-based workflows, or BI admin automation