Life360
The #1 family safety app 📱
Manager, Data Analytics
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.