Serve as the dedicated FP&A partner for Spotify's Distribution Partnerships team. Build business cases, subscriber models, P&L analyses, and financial frameworks to evaluate partnerships, drive data-informed decisions, and support planning and forecasting.
Salary not listed
Hybrid5+ YOEFinance & Accounting
About the role
What You'll Do
Lead business case development for Distribution Partnerships by building investment models that combine subscriber forecasts, partnership economics, and full P&L impact.
Develop financial frameworks that evaluate new and existing partnerships, including lifetime value, payback periods, return on investment, and other key performance metrics.
Analyze large and complex datasets to identify trends, opportunities, and risks that inform partnership strategy and investment decisions.
Partner closely with Distribution Partnerships, Accounting, Business Affairs, Legal, Strategy, and other cross-functional teams to translate financial insights into clear recommendations for business and senior leaders.
Build, maintain, and continuously improve reporting for the partnership portfolio, including KPIs, performance tracking, forecasting, and variance analysis.
Support annual planning, quarterly forecasting, and ongoing financial planning activities by partnering with business leaders to establish data-driven targets.
Identify opportunities to improve financial processes, reporting, and tooling to help Spotify evaluate and manage partnerships more effectively.
Who You Are
5+ years of experience in FP&A, Strategy & Analytics, Investment Banking, Corporate Finance, or a similar analytical role. Experience in a consumer subscription business is a plus.
Experience building sophisticated financial models and performing scenario analysis in environments with evolving information and changing priorities.
Know how to translate commercial agreements into meaningful financial outcomes and have experience partnering with Legal, Business Affairs, commercial, or deal teams.
Comfortable working with large datasets. Experience with SQL is preferred, and interested in applying AI tools to improve financial analysis and decision-making.
Balance strong attention to detail with sound judgment, knowing when additional analysis will meaningfully improve a decision and when it is time to move forward.
Manage multiple priorities effectively while maintaining a high standard of quality in a fast-moving environment.
Naturally curious and enjoy exploring problems beyond the initial question to uncover insights that create business value.
Communicate complex financial concepts clearly and tailor your recommendations to both technical and non-technical audiences.
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