Senior Data Analyst

About Life360

Life360’s mission is to keep people close to the ones they love. Our category-leading mobile app and Tile tracking devices 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 88 million monthly active users (MAU), as of June 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 that basically are 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) regardless of any specified location above. 

About The Team

This role sits in the central Analytics team and supports problems across multiple business units. We bring subject matter expertise in data, metrics, tools, and analytical methodologies to our partners, and drive growth by generating insights, designing tests, contributing to roadmaps, and building models that help us deliver the right experience to the right users.

About the role

The Business Analytics team is hiring a senior data analyst who will be responsible for analyzing customer and user journeys, establishing standardized metrics, performing in-depth analyses to assess business performance and providing actionable insights to optimize company strategy. You will collaborate with cross-functional teams, including Data (Analytics, Science, Engineering), Product Managers, Engineering and Marketing. You will analyze user behavior, customer funnels, own key metric definition and forecasting, and help design our future data infrastructure to develop insights that enhance business performance, user engagement, and customer retention.

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, and identify 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.

The US-based salary range for this position is $108,500 to $159,500 USD. 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

• Leverage complex, large volume, high-dimension data, extracted using a variety of sources, tools and analysis techniques to create and deliver high value analytic insights to a team of cross-functional partners
• Maintain a constant pulse on health of the business by tracking KPIs against targets and conducting investigations of key trends and their underlying drivers
• Work with business leaders to define key metrics and build reporting to monitor and understand performance along those metrics.
• Identify and solve issues with data availability, consistency, and quality.
• Partner with the Data Engineering team on technical requirements to enable data availability, data quality, and integrity for analytics and the broader self-service usage across the organization.
• Create and deliver impactful presentations that tell a story focused on insights, not just data.
• Forecast KPIs, identify opportunities, influence business partners, and drive effective decision-making.
• Partner with Product, Marketing, Engineering, and Finance teams to help resolve broader business problems, create growth plans, establish financial and operating targets, and determine optimal resource requirements.
• Be part of a great team, while also being capable of operating independently - managing relationships, deliverables and expectations with your business partners.

What We’re Looking For

• 5+ years of experience as an analyst, data scientist, or BI Engineer.
• 4+ years of SaaS / consumer app experience and understanding of related metrics.
• Expert capabilities with SQL and Tableau are required. Experience with Python