Life360 - Senior Analytics Engineer
Requirements
• Experience using AI/LLM coding assistants (for example, GitHub Copilot, Cursor, or Claude Code), with a disciplined approach to reviewing, testing, and owning generated code rather than accepting it at face value. • Expert-level SQL skills with deep understanding of query optimization and performance tuning • Extensive experience with dbt (data build tool) including testing, documentation, and package management • Strong programming skills in Python for data manipulation, automation, and custom analytics workflows • Strong understanding of dimensional modeling, star schemas, one big table, and other data modeling methodologies • Working knowledge of the Databricks platform, including SQL Warehouses, Delta Lake, and Unity Catalog; experience with other modern cloud data warehouses (Snowflake, BigQuery, or Redshift) is a plus and readily transferable. • Familiarity with orchestration frameworks and how analytics transformations are scheduled within broader data workflows • Experience working with version control systems (Git) and implementing CI/CD for analytics code • Strong business acumen and ability to translate business requirements into well-designed data models • Prior experience working with advertising, ad tech, or media data is preferred. • Understanding of data governance, privacy, and compliance requirements (GDPR, CCPA, and SOX) • Familiarity with BI tools (Tableau, Looker, Mode, or similar) and how analysts consume data • Strong ownership mindset with a passion for deeply understanding ambiguous business problems and translating them into clean, maintainable, and well-tested data models. • Excellent communication skills with ability to explain technical concepts to both technical and non-technical audiences • Dedication to data quality, documentation, and empowering others through self-service analytics • Bachelor's degree or equivalent experience in Computer Science, Information Security, or a related field
Responsibilities
• Design and implement robust dimensional and relational data models that support analytical use cases across Product, Marketing, Operations, and Finance • Build and maintain scalable dbt transformation pipelines, ensuring high data quality, performance, and cost-efficiency from raw ingestion to business-ready outputs • Own the transformation and modeling of curated (Silver/Gold) datasets, ensuring clear contracts and traceability from raw to business-ready data. • Partner with data engineering to build and maintain data pipelines and Delta Lake tables within Databricks, including basic ingestion, transformation, and orchestration work. • Collaborate with data analysts, product analytics, data scientists, and business stakeholders to translate requirements into durable data products that support experimentation, A/B testing, and advanced analytics • Implement data quality tests, monitoring, SLAs, and alerting to ensure reliability of critical analytical datasets • Enhance our LLM development support capabilities – creating tools / skills / agents that give our LLMs more context and help us continually improve their abilities to debug, create code, and maintain systems. • Partner with Data Engineers to define and enforce data contracts, ensuring schema stability and minimizing downstream breakage • Establish and evangelize analytics engineering best practices, including version control, code review, testing standards, and documentation • Empower self-service analytics by building intuitive, well-documented data marts and semantic layers • Success in Year One • Within the first year in this role, the person hired will have built canonical gold and silver models for the reporting revamp and consolidation effort, serving as the source of truth across all business lines and products and reconciling cleanly against partner data. Building on that foundation, they will have automated revenue and performance reporting directly from these models, removing the manual overhead that currently sits between raw data and trusted numbers. They will have also delivered a semantic layer, enabling executives, Product, Finance, and Accounting to self-serve their own reporting and data requests without routing every question through the data team. Finally, they will have set up alerting for metric trend changes and anomalies, so issues surface proactively rather than being discovered after the fact.
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.
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