About the role

Analytics Engineering Manager leading the analytics discipline at Kin, focusing on semantic data modeling and BI practices. Collaborating with data engineers to drive impactful data solutions.

Responsibilities

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

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.