
Manager, Data Analytics
Life360
full-time
Posted on:
Location Type: Remote
Location: United States
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Salary
💰 $148,000 - $218,500 per year
About the role
- 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
Requirements
- 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)
Benefits
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythonRA/B testingcausal inferencestatistical significanceexperiment designdata visualizationcohort analysissubscription metrics
Soft Skills
mentoringteam managementdata-driven decision-makingcommunicationstrategic thinkinginfluencingpresentation skillscuriosityrigorcollaboration