{"id":3989658,"url":"https://alion.io/job/spotify-analyst-royalty-operations","title":"Analyst, Royalty Operations","company":{"id":57,"name":"Spotify","domain":"spotify.com","url":"https://alion.io/company/spotify","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":83,"open_postings":13,"ghost_share":0,"stale_share":0.615,"repost_share":0.077,"time_to_fill_p50_days":50,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Analytics","role_family":"Analytics","seniority":"junior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Stockholm, Sweden"],"countries":["SE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":1,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"GCP","optional":true},{"name":"Google BigQuery","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-11-09T20:04:59Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-09T22:57:50Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Royalty Operations owns the operations behind Spotify’s royalty process across music, audiobooks, lyrics, and creator content. We implement content licenses in Spotify’s proprietary royalty systems, calculate and report royalties to our rightsholder partners, provide analytics to Accounting stakeholders, and serve as the go-to team for royalty questions across the company. As our business grows more complex, we’re focused on staying accurate and on time while getting faster and more flexible through scripting, Gen AI, and agentic workflows.\nWhat You'll Do\nBuild a deep understanding of Spotify’s label, publishing, lyrics, and audiobook contracts, how they’re implemented in our royalty systems, and how they flow into royalty calculations, downstream datasets, and reporting.\nUse the team’s internal AI tooling to configure contracts in Spotify’s royalty systems and test financial outputs for accuracy before sign-off from Commercial Accounting.\nLead data analyses to answer royalty questions from internal teams such as Legal & Licensing and Finance, and from external partners such as rightsholders and back offices.\nSupport month-end royalty close by reviewing checks, validating calculation outputs, and escalating risks or issues.\nRun month-end analytics, from generating the data and deck to providing commentary on fluxes, to support Content Accounting’s sign-off on final royalty figures.\nHelp build new capabilities for the team, contributing directly to how our internal AI tooling evolves as Spotify’s business grows.\nPartner closely with Legal & Licensing, Commercial Accounting, Content Accounting, and Financial Engineering.\nWho You Are\nYou have a background in Finance, Computer Science, or a related field.\nYou have 1+ years of experience in a data analyst or technical operations role. Experience in a royalty-related role at a record label, digital service provider, or music publisher is a plus.\nYou have strong technical and data analysis skills, such as SQL, Python, BigQuery, or Google Cloud Platform.\nYou bring an AI-first approach to problem-solving and are excited to get hands-on building and evolving internal tooling.\nYou’re curious about royalties and the music industry, and how Spotify pays the people who create content on our platform. Familiarity with label, publisher, or audiobook contracts, or with DSP data files, is a bonus.\nYou’re organized and flexible, and comfortable managing multiple projects in a fast-paced environment.\nYou’re a coachable self-starter who enjoys learning new concepts and coordinating across teams to meet deadlines.\nYou’re detail-oriented with a high bar for accuracy, because our numbers drive real payouts to rightsholders.\nWhere You'll Be\nThis role is based in Stockholm.\nWe 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. 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