Descrição
What You'll Do
- 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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