Manage, mentor, and grow a team of product analysts, fostering a culture of curiosity, rigor, and data-driven decision-making
Develop team members' technical and strategic skills, creating clear career progression paths
Partner with Product, Engineering, Design, and Marketing leaders to define success metrics, set KPIs, and establish growth targets for location-based features
Influence product roadmap decisions through compelling data narratives and strategic recommendations
Serve as the analytics thought leader for the Locations Operating Group, translating complex location patterns into actionable product insights
Design and execute comprehensive experimentation roadmaps, including A/B tests, feature rollouts, and causal analyses
Build and maintain testing frameworks that enable the organization to learn quickly and ship confidently
Define and monitor North Star metrics and success criteria for location product initiatives
Conduct deep-dive analyses on user behavior, feature performance, and product health metrics
Transform billions of location events into clear insights about how families use Life360
Present findings and recommendations to senior leadership with clarity and conviction
Develop scalable dashboards, reports, and self-service analytics tools that democratize data access
Stay current on industry trends in product analytics, experimentation methodologies, and location-based technologies
Continuously improve team processes, tools, and best practices

7+ years in product analytics, data science, or related field
2+ years managing and developing analytics teams
Deep experience in a B2C subscription or mobile app business, with demonstrable understanding of subscription metrics (retention, churn, LTV, cohort analysis)
Proven track record building and scaling experimentation cultures that drive product decisions
Expert-level SQL for complex data manipulation and analysis
Proficiency in Python, R, or similar programming languages for statistical analysis
Strong experience with modern data visualization tools (Tableau, Looker, or similar)
Deep understanding of experimentation methodologies: A/B testing, causal inference, statistical significance, and experiment design
Familiarity with product analytics platforms (e.g., Amplitude, Mixpanel, Segment)
Experience with cloud data warehouses (Snowflake, Redshift, BigQuery, or Databricks)

Competitive pay and benefits.
Medical, dental, vision, life and disability insurance plans (100% paid for US employees). We offer supplemental plans for medical and dental for Canadian employees.
401(k) plan with company matching program in the US and RRSP with DPSP plan for Canadian employees.
Employee Assistance Program (EAP) for mental wellness.
Flexible PTO and 12 company wide days off throughout the year.
Learning & Development programs.
Equipment, tools, and reimbursement support for a productive remote environment.
Free Life360 Platinum Membership for your preferred circle.

Manager, Data Analytics

Key skills