Processing Ops Research Officer

TL;DR

Processing Ops Research Officer (Operations): Managing and researching music data reporting and royalty distribution processes with an accent on data accuracy, quality standards, and operational efficiency. Focus on analysing data inconsistencies, performing high-volume research, and ensuring accurate payments to members within strict deadlines.

Location: Hybrid in London, United Kingdom with up to three days remote work per week

Company

hirify.global represents songwriters, composers, and publishers, ensuring they are paid for their work and innovating as a world-leading organisation in music rights management.

What you will do

• Analyse and interpret music data, reporting inconsistencies to enable constructive outcomes
• Perform target-driven, high-volume research on music data reporting to strict quality standards
• Manage processing operations including repertoire matching and updating works in PRS systems
• Follow best practices to ensure efficient and accurate royalty payments
• Work to distribution deadlines while meeting productivity and quality targets

Requirements

• Location: Must be based in the United Kingdom with hybrid work at London Bridge Hub
• Demonstrable computer skills and experience with multiple bespoke systems
• Literacy and numeracy equivalent to GSCE level in English and Maths
• Ability to communicate effectively as part of a team
• Meticulous attention to detail and ability to learn continuously
• Experience in target-driven environments desirable

Culture & Benefits

• Inclusive culture valuing diversity and individuality
• Family friendly leave policies including enhanced maternity, paternity, and reproductive support
• 25 days holiday entitlement with option to top up to 30 days
• Ability to work remotely up to eight weeks per year
• Additional benefits including retail and gym discounts, season ticket or bicycle loan

Hiring process

• First stage interview virtually via MS Teams
• Second stage interview in person at London Bridge Hub
• Competency-based questions using STAR method