Analytics Engineering Manager

Kin Insurance

20h•Remote

About The Position

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simpler, more affordable, and better for homeowners — especially in the places where climate risks, rising costs, and outdated systems make it harder.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 and see how we work. We’re looking for an Analytics Engineering Manager to lead the discipline of turning well-modeled data into shared, trusted business understanding. You’ll own the direction and quality of our semantic layer, enterprise reporting, and BI practices while partnering closely with data engineers and stakeholders across Kin’s business. You’ll own Kin’s semantic layer and BI platform, Looker, and be responsible for the care and evolution of core enterprise reports, as well as the enablement of self-service analytics for smaller and exploratory use cases. You’ll blend your technical leadership, stakeholder collaboration, and hands-on skills to optimize our use of data.

Requirements

6–8+ years in analytics engineering, BI engineering, or data modeling roles
Expert-level SQL and dimensional modeling abilities
Advanced reasoning related to metrics, definitions, and business meaning
Proven ability to design simple, durable semantic layers over complex data
Comfort influencing upstream data design without owning ingestion or platform operations
Excellent written and verbal communication skills, and ability to align technical and non-technical partners
High emotional intelligence and empathy when working through differing perspectives
Demonstrated leadership through mentoring, technical direction-setting, or informal team leadership
Hands-on experience with modern lakehouse or warehouse platforms (e.g., Databricks) or BI tools (e.g., Looker)

Responsibilities

Provide directional administration of the Looker platform, including permissions, performance considerations, content lifecycle, and development standards
Partner with teams to align on shared metrics and definitions, and guide them through semantic tradeoffs and definition differences
Oversee the care, development, and reliability of Kin’s core dashboards and reports
Partner with data engineers and provide input on dimensional model design and evolution while advocating for best practices that support downstream analytics
Hire and lead analytics engineers, mentoring them on modeling, semantic design, and stakeholder partnership
Develop and implement new analytics and reporting solutions

Benefits

Competitive salary and company equity through Restricted Stock Units (RSUs), granted as part of our standard compensation package
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
Employee referral bonuses
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