Senior Analytics Engineer

Kin Insurance

11d•Remote

About The Position

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.

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

Nice To Haves

Experience with Python, Git-based workflows, or BI admin automation

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

Benefits

Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package and based on role and level
401(k) with company match up to 4% of eligible earnings
Multiple medical plan options, plus dental and vision coverage
Company-funded HSA contributions (based on medical plan selection)
Company-paid life insurance and short-term disability
A variety of supplemental benefit options, including long-term disability, critical illness, accident, legal, and pet insurance
Access to mental health support and confidential counseling resources
Flexible PTO for exempt employees (most employees take 15–20 days per year), plus 8 company-observed holidays
Paid parental leave, including up to 14 weeks at 100% pay for birthing parents and 8 weeks at 100% pay for non-birthing parents
Career mobility and internal growth opportunities across the organization
Professional development budgets for certifications, conferences, and learning available, subject to management approval