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Analyst, Licensing Finance – FP&A

Analyze and model financial impacts of major label licensing agreements, support royalties forecasting, and provide data-driven insights for Spotify's music business economics. Requires 2+ years analytical experience, advanced SQL, and strong financial modeling skills.

New York, NYFinance & AccountingHybrid2+ YOE

About the role

What You'll Do

  • Evaluate and model global major label licensing agreements, partnering closely with Licensing, Accounting, and Legal teams.
  • Build and own robust financial models, including scenario and sensitivity analyses, to assess deal economics, margin impact, and long-term trade-offs.
  • Translate complex contract structures into clear financial implications and produce executive-ready materials for Finance and Business leadership.
  • Support music royalties forecasting processes, incorporating the financial impacts of deal-specific terms.
  • Analyze monthly and quarterly royalty and margin performance, identifying key variances versus forecast and explaining underlying drivers.
  • Partner with Data and Engineering teams to improve forecasting accuracy and cost visibility.
  • Develop and track KPIs that monitor deal performance and long-term cost structure impacts.
  • Contribute to process improvements, automations, and analytical tooling that enhance both deal analysis and forecasting efficiency.

Who You Are

  • 2+ years of professional experience in highly analytical environments such as consulting, investment banking, deal analysis, strategic finance, or data analytics.
  • Advanced SQL skills and demonstrated experience working with large, complex datasets.
  • Strong financial modeling capabilities with a clear understanding of scenario analysis and business trade-offs.
  • Experience leveraging AI tools to enhance analytical productivity (e.g., Cursor, ChatGPT, Claude, Gemini).
  • Exceptional attention to detail paired with strong judgment around prioritization and materiality.
  • Clear and structured communicator, able to translate complex analysis into actionable insights for non-technical stakeholders.
  • Intellectual curiosity and a desire to build deep expertise in the music business and licensing economics.

Skills

SQLFinancial ModelingExcelAI ToolsData AnalysisForecastingPythonTableauScenario AnalysisKPIs

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