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Build a deep understanding of […]’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.
Use the team’s internal AI tooling to configure contracts in […]’s royalty systems and test financial outputs for accuracy before sign-off from Commercial Accounting.
Lead 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.
Support month-end royalty close by reviewing checks, validating calculation outputs, and escalating risks or issues.
Run 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.
Help build new capabilities for the team, contributing directly to how our internal AI tooling evolves as […]’s business grows.
Partner closely with Legal & Licensing, Commercial Accounting, Content Accounting, and Financial Engineering.
Who You Are
You have a background in Finance, Computer Science, or a related field.
You 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.
You have strong technical and data analysis skills, such as SQL, Python, BigQuery, or Google Cloud Platf
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