Royalty and Data Analyst

Royalties and Data Analyst | Music | £28,000 – £32,000 + benefits | London (hybrid)

A Royalties and Data Analyst is required to join a highly respected, global music business. This is a newly created role offering broad exposure across royalty reporting, data operations, and partner-facing activity within the music industry.

Reporting into a supportive and collaborative leadership team, this role sits within a fast-paced, data-driven function and will play a key part in ensuring the accuracy, integrity, and delivery of royalties and trends data across an extensive international portfolio.

This is an excellent opportunity for someone who enjoys working with large datasets, has a strong eye for detail, and is passionate about music, data, and continuous improvement.

You will be offered a salary of £28,000 – £32,000
, alongside a strong benefits package, clear progression opportunities, flexible/hybrid working, and the chance to join a friendly, high-performing team that values collaboration and regular in-person connection.

• Monitor incoming and outgoing royalty and trends reports to ensure accuracy and timely delivery
• Execute data quality checks, reconcile discrepancies, and investigate variances across large datasets
• Support the processing and analysis of royalty reports in collaboration with the wider reporting team
• Act as a key point of contact for member and internal queries, resolving issues professionally and efficiently
• Liaise with internal stakeholders and external clients to resolve data and reporting issues
• Maintain clear, accurate documentation of data processes and procedures
• Support data warehouse operations, including testing new features and system updates
• Identify opportunities to automate manual checks and streamline reconciliation processes
• Proactively contribute ideas to improve speed, accuracy, and data integrity across reporting workflows

• Strong numerical and analytical skills with excellent attention to detail
• Advanced Excel skills; confidence working with large datasets
• Comfortable investigating discrepancies and solving complex data problems
• Highly organised with strong time management skills
• Collaborative, proactive, and solutions-focused mindset
• Strong communication skills with confidence working across teams