Lead Data Analyst, Product Growth

Life360
Remote, USA; Remote, Canada$133k – $196kPosted 9 March 2026

Tech Stack

Job Description

About Life360 Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app,Tile tracking devices, and Pet GPS tracker empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 91.6 million monthly active users (MAU), as of September 30, 2025, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit life360.com . Life360 is a Remote-First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. About The Team The Product Growth Analytics team supports Life360 User and Revenue group by delivering critical insights to our stakeholders, monitoring business health through metrics, and drives outcomes through A/B testing. We also own the logic of the data architecture in our space, and work with Data Engineering to deliver it. About the Job The Product Growth Analytics team is hiring a Lead Data Analyst who will drive Subscriptions growth by identifying opportunities to deliver great experiences to our Members. You will focus on a user’s path to subscription and post subscription experience and metrics. You will be the analytics owner for subscriptions related data instrumentation and infrastructure, metrics, and reporting. You will be a key partner to Product; and be a critical part of our company data and testing initiatives. Success in this role hinges on your technical aptitude, quantitative abilities, and business/product acumen: you know how to plow through data with SQL and BI tools, inform and inspire stakeholders with data-first presentations, design and scale AB tests, and identify user growth opportunities through the use of data. You treat stakeholders as a partnership – you are there at each step of the way and you know that we only succeed if we succeed together. ML based experimentation is a key focus in this area, you will work closely with the DS and engineering teams to prepare data for models, assist in model building, and be deeply involved in measuring model performances during and after A/B testing. This position will sit within the Analytics team. For candidates based in the US, the salary range for this position is $133,000 to $195,500 USD. For candidates based out of Canada, the salary range for this position is 147,500 to 173,000 CAD. Note: We take into consideration an individual's background and experience in determining final salary- therefore, base pay offered may vary considerably depending on geographic location, job-related knowledge, skills, and experience. The compensation package includes a wide range of medical, dental, vision, financial, and other benefits, as well as equity. What You’ll Do Own and enhance existing subscription dashboards. Identify and fill gaps in our understanding for subscriber growth. Work with business leaders to define key metrics and build reporting to monitor and understand performance along those metrics. Generate insights that steer our Product testing roadmap. Design, measure, and scale Product AB tests. Identify and solve issues with data availability, consistency, and quality. Identify and find solutions for operational use cases e.g. system monitoring and alerting, outlier detection, etc. Create and deliver impactful presentations that tell a story focused on insights ... (truncated, view full listing at source)
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