Dandelion

Dandelion

Senior FP&A Analyst

Washington, DC · Senior · Full-time

Sponsorship not specifiedDetected 156 days ago
SQLBigQuerySnowflakedbtData AnalysisData VisualizationSalesforceFinancial ModelingAccountingForecastingBudgetingFP&APerformance ManagementHardware DesignLeadershipCommunicationNetSuiteVariance Analysis

About the role

  • Reporting to the VP of Finance, this role will help shape how we plan, measure performance, and make decisions as we scale.
  • This is not a "spreadsheet maintenance" role.
  • Our focus is on large, enterprise deployments with major homebuilders, helping bring geothermal to more homes, faster.

Responsibilities

  • Detailed and have drive to produce accurate, insightful analysis

Requirements

  • 4-7 years of experience in FP&A, Corporate Accounting/Finance, or a related field
  • Bachelor's degree required
  • Experience with BI and data visualization tools such as Tableau or Power BI

Skills

  • Improve the accuracy, efficiency, and scalability of reporting workflows as the company grows
  • Leverage BI and visualization tools (e.g., Power BI, Tableau) to make performance insights accessible and decision-useful
  • Help identify opportunities to strengthen our financial data foundation over time (SQL, data warehouses, automation)
  • Translate financial results into clear narratives for non-financial stakeholders
  • Surface anomalies, risks, and key unanswered questions early - with urgency, clarity, and proposed solutions
  • Respond quickly to ad hoc analytical requests from senior leadership

Compensation

  • Support the annual budgeting and reforecasting process in partnership with department leaders

Company info

  • Medical (including mental health), dental, vision, and pet insurance
  • 401(k) plan
  • Commuter benefits
  • Generous paid sick leave, vacation, and parental leave
  • Learning & development support, including on-the-job training and virtual courses
  • Pet insurance

This listing is sourced directly from Dandelion's careers page and normalized into a canonical job model.