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- Tasks: Analyse royalty data to uncover insights and support revenue assurance.
- Company: Global entertainment business with a focus on analytics and performance.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the music and media industry.
- Qualifications: 3-5 years in data analysis, strong analytical skills, and SQL experience.
- Other info: Collaborative environment with a passion for music and data-driven decisions.
The predicted salary is between 36000 - 60000 £ per year.
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.
- 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 underperformance.
- 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.
Royalty Data Analyst employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Royalty Data Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the music and analytics industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Royalty Data Analyst gig.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those involving royalty data or revenue assurance. This will give potential employers a taste of what you can do and how you interpret complex datasets.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and BI tool knowledge. We recommend practising common data analysis scenarios and being ready to explain your thought process clearly. Remember, they want to see how you think!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Royalty Data Analyst
Some tips for your application 🫡
Show Your Analytical Skills: Make sure to highlight your experience with data analysis, especially in royalty or revenue assurance contexts. We want to see how you've turned raw data into actionable insights, so share specific examples that demonstrate your analytical reasoning.
Be Clear and Concise: When explaining your past experiences, keep it straightforward. We appreciate clarity, especially since the role involves communicating complex findings to non-technical stakeholders. Use simple language to describe your achievements and the impact of your work.
Tailor Your Application: Don’t just send a generic application! We love when candidates take the time to tailor their CV and cover letter to our job description. Mention your familiarity with SQL and BI tools like Tableau or Power BI, and how they relate to the role of Royalty Data Analyst.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re genuinely interested in joining our team!
How to prepare for a job interview at Harnham
✨Know Your Numbers
Before the interview, brush up on your understanding of royalty data and analytics. Be prepared to discuss specific examples where you've interpreted complex datasets and turned them into actionable insights. This will show your analytical reasoning and ability to communicate effectively.
✨Understand the Business
Research the global entertainment business you're interviewing with. Familiarise yourself with their catalogue performance and revenue assurance strategies. This knowledge will help you demonstrate your commercial curiosity and how you can contribute to their goals.
✨Prepare for Scenario Questions
Expect questions that ask you to explain what you would do in certain situations, like identifying gaps in income or assessing risks. Think through your past experiences and be ready to articulate your thought process clearly, showcasing your judgement and problem-solving skills.
✨Showcase Your Technical Skills
Be ready to discuss your experience with SQL and any BI tools like Tableau or Power BI. You might even want to prepare a mini case study or example of how you've improved data flows or reporting processes in the past. This will highlight your technical expertise and readiness to tackle the role.
