Royalty Data Analyst
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Royalty Data Analyst
London based - 4 days in the office
Permanent
£60,000 - £70,000
A global entertainment business is looking to hire a Royalty Data Analyst to join a growing analytics function supporting catalogue performance and revenue assurance.
The business is looking for an analyst with strong judgement and commercial curiosity who can independently interpret royalty data, form a clear point of view, and explain what the numbers actually mean.
You will be responsible for understanding why income is under or over performing, comparing expectations versus actuals, identifying risks or gaps early, and translating complex and often imperfect royalty data into clear, decision ready insights for non technical stakeholders.
The role
Working closely with publishing, label and finance teams, you will act as the analytical owner of royalty performance across the catalogue.
Key responsibilities include:
• Interpreting royalty income data to understand performance trends, anomalies and movements
• Explaining what is happening, why it is happening, and what action is required
• Assessing expected versus actual income and identifying gaps, risks or under performance
• Running revenue assurance and data quality checks to detect issues early
• Building reporting views that support interpretation rather than just visibility
• Partnering with finance teams to support accruals and commercial forecasting
• Improving SQL logic, data flows and reporting processes over time
What they are looking for
• Around 3 to 5 years experience in data analysis, royalty analysis, revenue assurance or a related analytics role
• Background in music, media, rights, royalties or a comparable data heavy commercial environment
• Strong analytical reasoning and ability to move from raw data to insight
• Comfortable working with incomplete or imperfect datasets
• Confident forming and defending an analytical point of view
• Experience using SQL and at least 1 BI or reporting tool such as Tableau or Power BI
• Ability to communicate complex findings clearly to non technical stakeholders