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Sr. Data Analyst, Financial AnalyticsSunrunUnited States

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Sr. Data Analyst, Financial Analytics

Sunrun
  • US
    United States
  • US
    United States

About

Sr. Data Analyst
Ever since we started in 2007, Sunrun has been at the forefront of connecting people to the cleanest energy on Earth. It's why we've become the #1 home solar and battery company in America. Today, we're on a mission to change the way the world interacts with energy, and we're building a company and brand that puts power at the center of life. And we're doing it by designing a dynamic culture where employee development, well-being, and safety come first. We're unlike any other solar company. Our vertically integrated model gives us total control over every part of the energy lifecycle from sale through installation and beyond so you can find endless opportunities for growth. Come join a career you can grow in and a culture you can run with. Job Summary
We are looking for a highly skilled Sr. Data Analyst to join the Financial Analytics team. This role serves as a critical bridge between Finance and Data Engineering, taking the lead on next-generation external investor reporting and owning internal metrics that drive business decisions. Office Location: Lehi, UT or San Francisco, CA; 3-5 days/week (subject to change) Core Responsibilities
External Reporting: Own development life-cycle of detailed external investor reporting (SQL). ERP Migration & Refactoring
Refactor existing reports to support major ERP upgrade and seamless transition (SQL). Lead post-migration refactoring of curated data layers for efficiency (SQL, dbt).
Demand Management (Slack/Google, Jira)
Manage intake of critical issues (broken reports, audit requests, access issues). Incorporating new funds, products, projects into department roadmap.
Strategic Metrics: Take ownership of creating/revamping internal financial metrics (SQL, Tableau). Technical Requirements (Hard Skills)
Expert SQL: You are beyond "complex selects." You can build tables, optimize tools, and architect data structures. (Snowflake is strongly preferred). Excel/G-Sheets: Advanced proficiency in Excel for testing and quick turn around analysis; familiarity with Google Sheets is a plus. dbt (Data Build Tool): Proficiency in developing modular, version-controlled models for scalable data transformations. Tableau: Intermediate skills in Tableau to build dashboards that tell a story. Agile Tools: Experience with Jira and GitHub for change management and version control. Professional Competencies (Soft Skills)
Adaptive Problem-Solver: Rapidly gain proficiency in new datasets/code; self-identify discrepancies and confidently present solutions when data deviates from expectations. Translator ('Code-Switcher'): Able to work across business, data engineering, and software teams with easetranslating complex data logic or workflows into plain language / documentation for stakeholders. Strategic Intake Manager: You can manage demanding deadlines and complex client requests, recognizing when to escalate technical blocks to Data Engineering or priority conflicts to management. Proactive Orchestrator: Shares transparent, easy-to-digest progress updates in public forums and documentation, balancing complex project needs with a steady focus on delivery. Dynamic Collaborator: Comfortable autonomously navigate legacy code and structure independent work plans while driving high-standard peer reviews. Experience
Education: Bachelor's in a quantitative field (CS, Finance, Engineering, etc.). Career: 3 - 5 years in data analysis, focusing on FinOps (AR, Billing, Collections, Asset Management). Plus: Working knowledge of Hightouch, Python, Oracle Cloud, Anaplan, SOX Controls Starting salary/wage for this opportunity: $83,776.62 to $111,702.16 Compensation decisions will not be based on a candidate's salary history. Sunrun is proud to be an equal opportunity employer that does not tolerate discrimination or harassment of any kind. We believe that empowering people and valuing their differences are essential for our mission of connecting people to the cleanest energy on earth.
  • United States

Languages

  • English
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