# Analyst, Licensing Finance – FP&A

**Company:** [Spotify](https://hotfix.jobs/companies/spotify)
**Location:** New York, NY
**Role:** Finance & Accounting
**Experience:** 2+ years
**Skills:** SQL, Financial Modeling, Excel, AI Tools, Data Analysis, Forecasting, Python, Tableau, Scenario Analysis, KPIs
**Posted:** 2026-03-02

> 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.

## Job Description

## 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.

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