Lead Data Analyst, Devices (Experimentation)
Life360Remote, 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 Device Analytics team is a distinct part of the broader Engineering Organization. While belonging to a close-knit central team, each Life360 Analyst partners with one or more business units on a long-term basis including Product, Device Sales, Marketing, Engineering and/or Finance.
Each Analyst has the opportunity to combine their own expertise with our substantial data resources to contribute as a thought leader, establish domain expertise and develop cross-functional partnerships to solve business problems for the company.
About the Job
We are seeking a Lead Data Analyst to play a pivotal role in shaping the future of the Life360 ecosystem, with a strong emphasis on pricing strategy, experimentation, and monetization.
As an integral part of the Analytics team, you will work closely with Product Management, Growth and the leadership team to help define our Device short/long term strategy. Your role will focus on identifying new business opportunities and enhancing organizational value through data analysis, experimental design, and collaboration with cross-functional partners.
This role is centered on unlocking revenue growth through rigorous pricing optimization, monetization modeling, and high-impact experimentation . Utilizing your skills in analytics and technical proficiency, you will leverage our distinct geolocation, mobile app, hardware and sales data to tackle key questions about business strategies and product effectiveness. Your mission includes not only daily analytical tasks but also contributing to strategic decisions that shape our product direction.
The ideal candidate is motivated by the potential of data to influence product development and drive business growth, adept at translating complex data into actionable insights and strategic narratives. With a strong foundation in data analysis, technical skills, and a keen understanding of the product landscape, you'll be pivotal in guiding our product strategy.
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. 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 Will Do
Drive Device growth through rigorous, data-driven insights that deeply connect product, pricing, and customer behavior
Translate complex analyses into clear, actionable recommendations for senior leadership.
Establish and govern a unified metrics fra ... (truncated, view full listing at source)
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