Life360

The #1 family safety app 📱

Manager, Data Analytics

Full TimeRemoteTeam 201-500Since 2008H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

16 days ago

Salary

$148K - $218.5K / year

Bachelor Degree7 yrs expEnglishAmazon RedshiftBig QueryCloudPythonSQLTableau

Job Description

• 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

Job 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.

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