Analytics Engineering Manager

5d5 days ago

Kin Insurance

US · Full-time · $150,000 – $185,000

About this role

Own Looker and the semantic layer while building trust in analytics. Partner with data engineering and grow a team of analytics engineers. Lead the discipline of turning well-modeled data into shared, trusted business understanding across Kin’s business.

Own the direction and quality of the semantic layer, enterprise reporting, and BI practices. Manage Kin’s BI platform Looker, core enterprise reports, and enable self-service analytics. Blend technical leadership, stakeholder collaboration, and hands-on skills to optimize data use.

Kin makes life simpler and more affordable for homeowners using data, technology, and human support. Remote-first employer with Kinfolk across more than 35 states, serving customers in 13 states. Recognized by Built In Chicago's Best Places to Work and Forbes' America's Best Startup Employers.

Provide clearer direction for BI semantic layer prioritizing simplicity and consistency. Enhance self-service through curated datasets, reusable metrics, and documentation. Improve performance and reliability of enterprise reporting while growing a high-performing team.

Requirements

Experience administering Looker including permissions, performance, and development standards
Expertise in semantic layer design, management, and BI best practices
Proficiency partnering with data engineering on dimensional modeling and analytics optimization
Strong skills in aligning stakeholders on shared metrics and semantic definitions
Proven ability to oversee enterprise dashboards, reports, and self-service analytics
Leadership experience hiring, mentoring, and growing analytics engineering teams
Hands-on capability developing reporting solutions and ensuring data reliability

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, guiding through semantic tradeoffs and definition differences
Oversee the care, development, and reliability of 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