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- Tasks: Analyse streaming data to identify and combat fraud in the music industry.
- Company: Leading music company dedicated to innovation and integrity.
- Benefits: Flexible remote work, private medical insurance, and a pension scheme.
- Why this job: Join the fight against streaming fraud and make a difference in the music world.
- Qualifications: Strong analytical skills with knowledge of SQL and Python.
- Other info: Enjoy a dynamic work environment with opportunities for growth.
The predicted salary is between 36000 - 60000 £ per year.
A leading music company is seeking a Fraud Data Research & Analyst to combat streaming fraud. The role involves analyzing data from streaming platforms and social media to uncover suspicious activity.
Key qualifications include:
- Strong analytical skills
- Familiarity with SQL and Python
The position offers flexibility for hybrid or remote work, and comes with a comprehensive benefits package including private medical insurance and a pension scheme.
Remote Streaming Fraud Data Analyst employer: Universal Music Group
Contact Detail:
Universal Music Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Streaming Fraud Data Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in the music and data analysis industry on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical projects, especially those involving SQL and Python. This will help us see your capabilities in action.
✨Tip Number 3
Prepare for the interview by brushing up on common data analysis scenarios related to streaming fraud. We want to hear how you’d tackle real-world problems!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Remote Streaming Fraud Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your analytical skills and experience with SQL and Python. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about combating streaming fraud and how your skills can help us in this mission. Keep it engaging and personal – we love a good story!
Showcase Your Analytical Mindset: In your application, give examples of how you've tackled data analysis challenges in the past. We’re looking for problem solvers who can think critically, so share any specific instances where you uncovered insights from data.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Universal Music Group
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of data analysis.
✨Understand Streaming Fraud
Familiarise yourself with common types of streaming fraud and current trends in the music industry. Being able to discuss specific examples or case studies will demonstrate your interest in the role and your proactive approach to learning.
✨Prepare for Scenario Questions
Expect scenario-based questions where you might need to analyse a dataset or identify fraudulent patterns. Practising these types of questions can help you articulate your thought process clearly during the interview.
✨Showcase Your Analytical Mindset
Be prepared to explain your analytical approach. Use the STAR method (Situation, Task, Action, Result) to structure your answers when discussing past experiences, highlighting how your analytical skills led to successful outcomes.
