Salary: USD 75000.00 - 160000.00 annually

Category: Data/Insights/AI

Tritone Analytics · Remote
There's an enormous amount of money owed to artists and rights-holders that never reaches them because the data is a mess. Tritone audits music royalties and gets that money back. We're looking for the person who knows both what those numbers mean and how to model them.
This is roughly a 70% music-royalty domain expert, 30% data engineer — and, above all, a translator between the two.
What you'd own
You'd be the authority on how Tritone turns the industry's inconsistent label, publisher, and PRO statements into one trustworthy, comparable model. Concretely:
• Own the normalized data model for royalty line items across master, publishing, and PRO statement types (income type, rights type, territory, DSP, collecting society, splits, dates).
• Define the mapping and validation rules that turn each messy source format into that model, and the QA that proves the output matches the raw source.
• Be the domain authority our engineers consult (is this recoupable or internal)? Is this society a PRO, an MRO, or both? Is this a duplicate or a real clawback?
• Translate domain reality into specs engineers can build, and review their work for meaning, not just code.
What we're looking for
You have most of this:
• Deep music-royalty domain expertise — hands-on with label, publishing, and/or PRO/CMO statements. You understand the economics behind the numbers: mechanical vs. performance vs. sync vs. neighboring rights; gross vs. net vs. recoupment; why a restated statement isn't a duplicate.
• Data fluency: you can design a normalized schema, write or spec transformations (SQL / Python), and reason about data quality at scale. You don't have to be a software engineer, but you must speak their language.
• A validation mindset — you treat every figure as a lead, not a fact, until it's checked against the source.
Bonus: publisher / distributor / PRO / royalty-tech experience; DDEX, CWR, ISRC/ISWC/IPI; having built a multi-source royalty warehouse; modern data stack (dbt, DuckDB); a royalty-audit or advance background.