Analytics Engineering Manager

Kin is redesigning insurance to be smarter, faster, and centered on the customer. We use intelligent pricing, offer seamless bundling, and make every step (from purchasing, servicing to claims) simple and friction-free, especially in the places traditional insurers often ignore.

We empower people to protect what matters most, starting with their homes and expanding to all they value, in a world where climate risks, rising costs, and outdated systems leave too many behind. Our approach has fostered amazing growth, attracted marquee investors, and earned us accolades, including being named to:

• Built In Chicago's Best Places to Work, Midsize Companies (2021-2025).

• Forbes' America's Best Startup Employers (2021- 2024, Ranked #37 in 2024).

• Inc. 5000 Fastest-Growing Private Companies.

• Forbes’ Fintech 50.

Simply put, our people are what make us great – we need forward-thinking, inspired game-changers like you to join us in our mission.

Own Looker and the semantic layer; build trust in analytics; partner with data engineering; grow a team of analytics engineers.

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.

• 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

• A clearer direction for Kin’s BI semantic layer, prioritizing simplicity, consistency and long-term durability

• Enhanced self-service through curated datasets, reusable metrics, documentation, and lightweight guardrails

• Improved performance and reliability of enterprise level and self-service reporting and dashboards

• A larger and higher-performing analytics engineering team

• 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)

This role is eligible for our comprehensive benefits program, which includes standard coverage and additional supplemental benefits.

This role is available and may represent a new position. Applications for this role are accepted on an ongoing basis

We use AI-enabled tools to sort applications based on job-related criteria and help with noting-taking during the interview process. A human always decides who moves forward.

#LI-REMOTE

For Sales Agents and Customer Service Agents: These roles sit in any of the following 30 states: AL, AZ, CO, FL, ID, IL, IN, KS, KY, MA, MD, ME, MI, MO, MT, NC, NE, NM, NV, NY, OH, OK, PA, SC, TN, TX, UT, VT, VA, WA, and WI.

For remote technical positions located in Canada, we are only able to hire individuals who reside in Ontario. Applicants must be able to live and work full-time in Ontario to be considered.

For all other positions, these roles can sit in any of the following 40 states: AL, AR, AZ, CA (exempt only), CO, CT, FL, GA, ID, IL, IN, IA, KS, KY, MA, ME, MD, MI, MN, MO, MT, NC, NE, NJ, NM, NV, NY, OH, OK, OR, PA, SC, SD, TN, TX, UT, VT, VA, WA, and WI. Please only apply if you are able to live and work full-time in one of the states listed above.

State locations and specifics are subject to change as our hiring requirements shift.

Kin is the only pure-play, direct-to-consumer digital insurer focused on the growing home insurance market. We make policies convenient and affordable through a technology platform that delivers a seamless user experience, customized options for coverage, and fast, high-quality claims service. Kin is a fully licensed carrier that offers coverage through its reciprocal exchanges which are owned by its policyholders. To learn more, visit www.kin.com.

Kin is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We don't just accept difference – we honor it, nurture it, and celebrate it. We don’t discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Kin welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. If you require accommodation, please contact us by sending an email to [email protected]