​This is an experienced, remote Senior Data Analyst role at Life360. The analyst will join the Finance Data Analytics team, supporting financial stakeholders by creating data and insights that drive internal/external financial reporting and SOX compliance. A major focus of this role is leveraging AI tools and capabilities to enhance development.

• ​Location: Remote (USA or Canada).
• ​Salary Range (US): $108,500 to $159,500 USD.
• ​Experience: 4+ years of experience in data analytics, with a focus on financial reporting and accounting support.
• ​Focus: Data pipeline creation, data visualization (Tableau/Plotly), dbt orchestration, monthly close support, and implementing AI-based solutions for finance.

​What You’ll Do: Data Modeling, BI, and AI Implementation

• ​Financial Reporting Support: Provide reporting/analysis tools for internal and external financial reporting.
• ​Month-End Close: Maintain and improve financial reporting capabilities to support the finance and accounting teams during the month-end close.
• ​Data Visualization & Analysis: Develop and optimize Tableau dashboards and support the utilization of Python-based Plotly. Use Databricks to query, review, and analyze data.
• ​Data Orchestration: Use DBT (Data Build Tool) to orchestrate, test, and deploy SQL data models.
• ​AI Implementation: Implement AI-based solutions to help expedite development and expand financial analytics capabilities. Experience with AI-enhanced IDEs (e.g., Claude Code, Cursor) is sought.
• ​Documentation: Maintain comprehensive documentation of data warehouse architecture and processes (SOX compliance focus).

​Required and Preferred Qualifications

• ​Experience: Bachelor’s degree and 4+ years of experience in financial reporting data analytics.
• ​Technical Proficiency:
  • ​Advanced SQL skills.
  • ​Proficiency with DBT and Airflow for orchestrating data models, testing, and deployments.
  • ​Experience managing a Databricks data warehouse or similar (Snowflake, BigQuery).
  • ​Experience working with Python or other programming languages.
• ​AI Exposure: Experience working with AI-enhanced IDEs like Claude Code and Cursor.
• ​Domain Focus: Extensive experience with financial reporting and accounting data analytics.