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- Tasks: Analyse royalty data to uncover trends and provide actionable insights.
- Company: Join a leading global entertainment business in a dynamic analytics team.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Make an impact in the music industry by transforming data into clear insights.
- Qualifications: 3-5 years in data analysis with strong SQL and BI tool skills.
- Other info: Collaborative environment with a focus on innovation and career development.
The predicted salary is between 60000 - 70000 £ 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 seeks 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.
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
Data Analyst - Royalties employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Royalties
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. Be ready to explain your analytical journey with real examples, especially how you've turned complex data into actionable insights. This will show your commercial curiosity!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your skills and interests. Tailor your approach to each company’s culture and values.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It shows your enthusiasm for the role and keeps you fresh in their minds as they make decisions.
We think you need these skills to ace Data Analyst - Royalties
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of a Royalty Data Analyst. Highlight your experience in data analysis, especially in music or media, and showcase any relevant skills like SQL and BI tools. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your analytical skills can help us understand royalty performance. Be sure to mention specific experiences that demonstrate your commercial curiosity and judgement.
Showcase Your Analytical Skills: In your application, don’t just list your skills—show us how you've used them! Provide examples of how you've interpreted complex data and turned it into actionable insights. We love seeing candidates who can clearly communicate their findings to non-technical folks.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy to do!
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 commercial curiosity and analytical skills.
✨Speak Their Language
Since you'll be working with non-technical stakeholders, practice explaining complex concepts in simple terms. Think about how you would describe your findings to someone without a technical background. This will demonstrate your ability to communicate effectively and ensure your insights are understood.
✨Showcase Your SQL Skills
Make sure you're comfortable discussing your experience with SQL and any BI tools like Tableau or Power BI. Prepare to talk about specific projects where you improved data flows or reporting processes. Highlighting your technical skills will reassure them that you can handle the data-heavy aspects of the role.
✨Prepare for Scenario Questions
Expect questions that ask you to assess hypothetical situations regarding underperforming income or data anomalies. Practice structuring your answers by outlining your thought process, the steps you would take to investigate, and how you would communicate your findings. This will showcase your problem-solving abilities and judgement.
