<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>ffa32116-048</externalid>
      <Title>Music Publishing Deal Analysis Team Member</Title>
      <Description><![CDATA[<p>You&#39;ll join the Music Publishing Deal Analysis team within FP&amp;A, where we partner closely with Licensing, Legal, and Finance to shape the economics behind Spotify&#39;s music business. This team plays a key role in evaluating and structuring publishing deals that support creators while ensuring long-term sustainability for Spotify. You&#39;ll work at the intersection of music, data, and strategy, helping translate complex agreements into clear financial insights that guide decision-making.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Partner with Licensing, Accounting, and Legal teams to evaluate global and regional music publishing deals</li>
<li>Build and maintain financial models to assess deal economics, including scenario and sensitivity analysis</li>
<li>Translate contract terms into clear financial insights and materials to support decision-making</li>
<li>Track and develop KPIs to evaluate deal performance and long-term cost impact</li>
<li>Collaborate with Finance, Data, Engineering, and Product teams to support deal implementation and strategy</li>
<li>Communicate financial risks and opportunities to stakeholders and leadership in a clear, actionable way</li>
<li>Support ongoing deal operations, including amendments, renewals, and new rights categories</li>
<li>Improve internal tools, templates, and processes to streamline deal analysis</li>
<li>Stay informed on music industry trends, including publishing, independent labels, and regulatory changes</li>
</ul>
<p><strong>Requirements</strong></p>
<ul>
<li>3+ years experience in FP&amp;A, deal analysis, investment banking, consulting, or a similar analytical role</li>
<li>Experienced in building financial models and working through structured analytical problems independently</li>
<li>Comfortable working with large datasets and experience with SQL or similar tools</li>
<li>Interested in developing technical skills, including exposure to AI-enabled tools and workflows</li>
<li>Can interpret commercial terms and collaborate effectively with Legal, Business Affairs, or deal-focused teams</li>
<li>Balance strong attention to detail with sound judgment on priorities and materiality</li>
<li>Communicate clearly and can explain complex analysis to a range of stakeholders</li>
<li>Curious, ask thoughtful questions, and enjoy building expertise in complex domains</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>Health insurance</li>
<li>Six-month paid parental leave</li>
<li>401(k) retirement plan</li>
<li>Monthly meal allowance</li>
<li>23 paid days off</li>
<li>Paid flexible holidays</li>
<li>Paid sick leave</li>
</ul>
<p><strong>Salary</strong></p>
<p>The United States base range for this position is $90,521 - $129,316 USD, plus equity.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>mid</Experiencelevel>
      <Workarrangement>hybrid</Workarrangement>
      <Salaryrange>$90,521 - $129,316 USD</Salaryrange>
      <Skills>financial modeling, deal analysis, SQL, AI-enabled tools, commercial terms, data analysis</Skills>
      <Category>Finance</Category>
      <Industry>Technology</Industry>
      <Employername>Spotify</Employername>
      <Employerlogo>https://logos.yubhub.co/spotify.com.png</Employerlogo>
      <Employerdescription>Spotify is a music streaming service that provides access to millions of songs and podcasts. It is a leading player in the music industry.</Employerdescription>
      <Employerwebsite>https://www.spotify.com</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/spotify/a7768944-809a-43bf-972e-7221d223331f?utm_source=yubhub.co&amp;utm_medium=jobs_feed&amp;utm_campaign=apply</Applyto>
      <Location>New York</Location>
      <Country></Country>
      <Postedate>2026-04-24</Postedate>
    </job>
  </jobs>
</source>