Sr. Data Analyst, Financial Analytics

Sunrun•San Francisco, CA

2d•Hybrid

About The Position

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. The role is located in Lehi, UT or San Francisco, CA, with a hybrid work model of 3-5 days/week (subject to change).

Requirements

Expert SQL: You can build tables, optimize tools, and architect data structures. (Snowflake is strongly preferred).
Advanced proficiency in Excel for testing and quick turn around analysis; familiarity with Google Sheets is a plus.
Proficiency in developing modular, version-controlled models for scalable data transformations using dbt (Data Build Tool).
Intermediate skills in Tableau to build dashboards that tell a story.
Experience with Jira and GitHub for change management and version control.
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 ease—translating 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.
Demonstrate proficiency in utilizing AI tools to enhance productivity and streamline workflows, or possess the agility and "growth mindset" to rapidly master new AI technologies as they are integrated into Sunrun’s operations.
Bachelor’s in a quantitative field (CS, Finance, Engineering, etc.).
3 - 5 years in data analysis, focusing on FinOps (AR, Billing, Collections, Asset Management).

Nice To Haves

Familiarity with Google Sheets.
Working knowledge of Hightouch, Python, Oracle Cloud, Anaplan, SOX Controls.

Responsibilities

Own development life-cycle of detailed external investor reporting (SQL).
Refactor existing reports to support major ERP upgrade and seamless transition (SQL).
Lead post-migration refactoring of curated data layers for efficiency (SQL, dbt).
Manage intake of critical issues (broken reports, audit requests, access issues).
Incorporating new funds, products, projects into department roadmap.
Take ownership of creating/revamping internal financial metrics (SQL, Tableau).