Sr. Data Analyst in Financial Analytics at Sunrun connecting finance and data engineering. Responsibilities include investor reporting, report refactoring, and metrics creation.
About the role
- Data Analyst III at Snap Finance leads complex analyses to drive business insights and decision-making. Focuses on data integrity and collaboration across departments for strategic outcomes.
Responsibilities
- Lead complex analyses that identify root causes of business issues and quantify financial or operational impact
- Translate ambiguous business questions into structured analytical approaches and defined outputs
- Design, build, and maintain dashboards, recurring reporting, and data models that support cross-functional decision-making
- Evaluate short-term performance trends while identifying longer-term implications of business decisions
- Recommend improvements to reporting processes, data quality, and analytical workflows within the team
- Partner with stakeholders across departments (e.g., Operations, Finance, Product, Risk, Marketing) to define KPIs and success metrics
- Challenge assumptions constructively and propose alternative hypotheses when reviewing business performance
- Present findings clearly to technical and non-technical audiences, driving alignment and consensus
- Independently manage multiple priorities with minimal day-to-day oversight
- Contribute to analytics best practices, documentation standards, and scalable solution design
- Contribute to exploring the future of Analytics by vetting, testing, and implementing Agentic BI Tools (AI Analytics)
- Stay informed on industry trends, competitive benchmarks, and emerging analytical tools that may create advantage
- Ensure data integrity by validating inputs, testing outputs, and documenting logic and assumptions
- Support leadership with ad hoc analysis that informs tactical decisions and resource allocation
Requirements
- Bachelor’s degree with 5+ years of relevant experience, OR Master’s degree with 3+ years of experience, OR PhD without experience
- Demonstrated competency in SQL is required and proficiency in at least one analytics/programming language (e.g., Python, R)
- Must be a power-user in Excel (vlookup, xlookup, pivot tables, charts, etc.)
- Strong experience with BI tools (e.g., Tableau, Power BI, Looker) and data visualization best practices
- Proven ability to break down complex problems into structured components and deliver actionable solutions
- Strong judgment in selecting appropriate analytical methods based on context and data constraints
- Experience working across teams and influencing without formal authority
- Clear and confident communicator who can tailor insights to different audiences
- Solid understanding of business drivers and how analytics supports revenue, cost control, risk management, or customer experience
- Ability to anticipate downstream impacts of decisions and surface trade-offs
- Comfortable operating with general direction on new initiatives and little supervision on day-to-day execution
- Demonstrated history of recommending and implementing process improvements
- Strong attention to detail with a disciplined approach to documentation and validation
Benefits
- Generous paid time off
- Competitive medical, dental & vision coverage
- 401K with company match for US
- Company-paid life insurance
- Company-paid short-term and long-term disability
- Access to mental health and wellness resources
- Company-paid volunteer time to do good in your community
- Legal coverage and other supplemental options
- A value-based culture where growth opportunities are endless
Job title
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Degree requirement
Tech skills
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