Life360

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

Job Level

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