Analyst, Licensing Finance – FP&A

Spotify is seeking a highly analytical and motivated Analyst to join its Licensing Finance team within FP&A. In this role, you will help shape and evaluate the financial impact of Spotify’s major label licensing agreements while also supporting royalties forecasting and performance analysis that directly influence the long-term economics of our music business.

This role sits at the center of deal strategy and cost forecasting, connecting negotiated contract terms to real-world usage, payouts, and margin outcomes. You will partner closely with Licensing, Legal, Royalty Operations, Data, Product, and Finance teams to model complex agreements, forecast music costs, and provide data-driven insights that inform high-impact business decisions.

This is a great opportunity for someone who enjoys working at the intersection of music, finance, data, and strategy in a fast-paced and highly collaborative environment.

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.

Where You'll Be

This role is based in New York, NY. We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask XXXX XXXX come in 2-3 times per week.