Lead Data Analyst, Devices (Experimentation) at Life360

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 framework across Devices and Monetization, defining canonical KPIs • Champion a culture of experimentation by designing and analyzing A/B tests and quasi-experiments that unlock growth, improve conversion, and enhance user experience. • Ensure cross-functional alignment on metric definitions, and maintain trusted source-of-truth datasets for experimentation and executive reporting. • Lead pricing and experimentation initiatives, including price point testing, promotions, bundling, and subscription attach optimization. • Quantify incremental revenue, margin impact, and long-term LTV effects. • Build and maintain price-demand elasticity models to inform pricing, promotional, and portfolio decisions. • Apply Bayesian experimentation and hierarchical modeling techniques, particularly in low-traffic environments (e.g., new hardware launches, geo pilots), to improve speed and confidence of decision-making. • Use causal inference and econometric methods to simulate revenue and contribution margin under different scenarios. • Develop scalable monetization frameworks (e.g., Devices LTV, cohort profitability models) to support sustainable growth and margin expansion. • Partner with Data Engineering to improve data quality, experimentation infrastructure, and self-serve analytics capabilities across the organization. • Serve as a thought leader in Analytics, elevating statistical rigor and advancing Life360’s data-driven culture internally and externally. An ideal candidate will have: • 8+ years of experience in data analytics within consumer internet or mobile B2C environments, with direct ownership of growth and monetization outcomes. • Deep experience in subscription-led and hybrid monetization models (e.g., subscription + hardware, ecommerce add-ons), including pricing and attach optimization. • Demonstrated expertise in pricing strategy, including designing pricing experiments, modeling price-demand elasticity, optimizing promotions and bundles, and evaluating long-term revenue and margin impact. • Deep understanding of subscription economics in a B2C context, including LTV modeling, retention dynamics, attach rate optimization, churn analysis, and cohort-based profitability. • Strong experience applying Bayesian experimentation and hierarchical modeling techniques, particularly in low-traffic or high-uncertainty environments, enabling faster and more reliable decision-making. • Proven ability to partner cross-functionally with Product, Sales, Marketing, Finance, and Engineering to drive data-informed strategy and influence high-stakes decisions without direct authority. • Advanced proficiency in SQL and Python or R, with strong statistical foundations (causal inference, experimental design, regression modeling, forecasting). Experience working with cloud data platforms such as AWS, Snowflake, Databricks, Redshift, Presto, Athena, Hive, or Teradata. • Experience working with Big Data environments and modern analytics stacks, along with strong data visualization and storytelling skills using tools such as Tableau, Looker, Mode, Amplitude, Jupyter, or Excel. • Demonstrated ability to translate ambiguous business problems into structured analytical frameworks and actionable strategies that materially impact growth and profitability. • Excellent executive communication skills, with the ability to distill complex quantitative insights into clear narratives for both technical and non-technical stakeholders. • Strong project leadership skills with a track record of independently driving complex analytics initiatives from problem definition through implementation and business impact. Our 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. Life360 Values Our company’s mission driven culture is guided by our shared values to create a trusted work environment where you can bring your authentic self to work and make a positive difference • Be a Good Person - We have a team of high integrity people you can trust. • Be Direct With Respect - We communicate directly, even when it’s hard. • Members Before Metrics - We focus on building an exceptional experience for families. • High Intensity, High Impact - We do whatever it takes to get the job done. Our Commitment to Diversity We believe that different ideas, perspectives and backgrounds create a stronger and more creative work environment that delivers better results. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us closer to our customers and the communities we serve. We strive to create a workplace that reflects the communities we serve and where everyone feels empowered to bring their authentic best selves to work. We are an equal opportunity employer and value diversity at Life360. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or any legally protected status. We encourage people of all backgrounds to apply. We believe that a diversity of perspectives and experiences create a foundation for the best ideas. Come join us in building something meaningful. Even if you don’t meet 100% of the below qualifications, you should still seriously consider applying! #LI-Remote