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- Tasks: Analyse royalty data to uncover trends and provide actionable insights.
- Company: Join a global entertainment business with a focus on analytics.
- Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
- Why this job: Make an impact in the music industry by interpreting vital data.
- Qualifications: 3-5 years in data analysis, strong SQL skills, and a passion for music.
- Other info: Collaborate with creative teams and enhance your analytical skills.
The predicted salary is between 48000 - 84000 £ 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. 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
Royalty Data Analyst in City of London employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Royalty Data Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the music and entertainment industry on LinkedIn. Join relevant groups, attend events, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by brushing up on your SQL skills and data analysis techniques. Be ready to discuss how you’ve tackled complex datasets in the past. We want you to show off your analytical reasoning and how you can turn raw data into actionable insights!
✨Tip Number 3
Practice explaining your findings to non-technical folks. You’ll need to communicate complex ideas clearly, so try explaining your past projects to friends or family. We’re all about making sure everyone understands the story behind the numbers!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged. Let’s get you that Royalty Data Analyst role!
We think you need these skills to ace Royalty Data Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Royalty Data Analyst role. Highlight your experience in data analysis, especially in royalty or revenue assurance, and don’t forget to mention any relevant tools like SQL or BI software you've used.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the music and media industry, and how your analytical skills can help us interpret complex royalty data. Keep it engaging and personal!
Showcase Your Analytical Skills: In your application, give examples of how you've turned raw data into actionable insights. We want to see your thought process and how you’ve tackled challenges in previous roles, especially when dealing with imperfect datasets.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to attach all your documents in one go. Plus, we love seeing applications come directly from our site!
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 from your past experience where you interpreted complex data and turned it 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 Technical Questions
Expect questions about SQL and BI tools like Tableau or Power BI. Brush up on your technical skills and be ready to explain how you've used these tools in previous roles. You might even want to prepare a mini case study to showcase your problem-solving abilities with real data.
✨Communicate Clearly
Practice explaining complex findings in simple terms. Since you'll be working with non-technical stakeholders, it's crucial to convey your insights clearly. Consider doing mock interviews with friends or colleagues to refine your communication style and ensure you can defend your analytical point of view.
