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- Tasks: Analyse complex royalty data to drive revenue insights for a global entertainment business.
- Company: Join a leading global entertainment company with a focus on innovation.
- Benefits: Competitive salary, hybrid working model, and opportunities for professional growth.
- Why this job: Make an impact in the music and media industry with your analytical skills.
- Qualifications: 3-5 years of data analysis experience, proficient in SQL and BI tools.
- Other info: Dynamic work environment based in Greater London with great career prospects.
The predicted salary is between 60000 - 70000 £ per year.
A global entertainment business is seeking a Royalty Data Analyst to enhance their analytics function. The role requires strong analytical skills to interpret complex royalty data and provide insights.
Candidates should have 3 to 5 years of data analysis experience, preferably in a music or media environment, and be proficient in SQL and BI tools like Tableau or Power BI.
The position offers a competitive salary of £60,000 - £70,000 and a hybrid working model based in Greater London.
Royalty Data Analyst: Drive Catalogue Revenue Insights employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Royalty Data Analyst: Drive Catalogue Revenue Insights
✨Tip Number 1
Network like a pro! Reach out to folks in the music and media industry on LinkedIn. A friendly chat can open doors and give you insights that might just land you that Royalty Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those using SQL and BI tools like Tableau or Power BI. This will help us see your expertise in action.
✨Tip Number 3
Prepare for the interview by brushing up on your analytical skills. Be ready to discuss how you've interpreted complex data in the past and how it drove revenue insights. We love seeing real-world examples!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always on the lookout for passionate candidates who want to make an impact in the entertainment industry.
We think you need these skills to ace Royalty Data Analyst: Drive Catalogue Revenue Insights
Some tips for your application 🫡
Show Off Your Analytical Skills: Make sure to highlight your analytical skills in your application. We want to see how you've tackled complex data problems in the past, especially if you've worked with royalty data or in a music/media environment.
Get Technical with SQL and BI Tools: Since proficiency in SQL and BI tools like Tableau or Power BI is key for this role, don’t forget to mention your experience with these technologies. We love seeing specific examples of how you've used them to drive insights.
Tailor Your Application: Take a moment to tailor your CV and cover letter to the job description. We appreciate when candidates take the time to align their experiences with what we’re looking for, so make it personal!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Make sure you’re well-versed in the types of royalty data relevant to the music and media industry. Brush up on your SQL skills and be ready to discuss how you've used BI tools like Tableau or Power BI to derive insights from complex datasets.
✨Showcase Your Analytical Skills
Prepare examples of past projects where your analytical skills made a significant impact. Be ready to explain your thought process and how you approached problem-solving, especially in scenarios involving complex data interpretation.
✨Understand the Business Context
Familiarise yourself with the global entertainment business landscape. Knowing how catalogue revenue works and the factors that influence it will help you provide more insightful answers during the interview.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s analytics function and how they leverage data for decision-making. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
