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- Tasks: Load and analyze sales data from platforms like Spotify and iTunes.
- Company: Join a dynamic team focused on supporting artists through accurate revenue tracking.
- Benefits: Enjoy flexible work hours and a supportive team environment.
- Why this job: Develop valuable data skills while making a real impact in the music industry.
- Qualifications: Proficiency in Excel, analytical mindset, and strong attention to detail required.
- Other info: Experience with databases and Python is a plus!
The predicted salary is between 28800 - 42000 £ per year.
You’ll be responsible for loading the streaming & download sales we’ve received from our digital providers, like Spotify, iTunes/Apple Music, Tidal and Deezer – to eventually get paid through to our Artists. You’ll also be clearing through any errored transactions that have ended up in suspense, making sure our Artists receive all of the revenue for sales they’ve made. You’ll be working at your own pace and have the freedom to complete tasks in the way that works for you, and have plenty of support from the rest of the team.
Here you’ll get to:
Work with large sets of data, and develop skills to analyse and transform data sets of varying sizes, from small to huge.
Learn about databases, data structures, and digital sales transactions of our repertoire – and how we go from the sale of an album, single or stream through to getting the royalty paid to the artist, and how the pricing of each stream/download is calculated.
Talk with our labels and our worldwide affiliates to resolve any queries that may pop up, or with our digital streaming / download platforms.
You have a high level of proficiency with Microsoft Excel, familiar with its built-in functions.
You have a self-driven attitude to work, able to set your own deadlines, work independently, and communicate professionally with any of our external customers.
You have an analytical mindset, with the ability to see the "bigger picture" within large sets of data.
You have strong attention to detail and are extremely thorough.
You have good, proven education credentials with subjects such as Maths, IT, Economics or English, and are able to understand basic economic concepts such as foreign exchange rates.
You have an open approach to work, and the ability to adapt to a rapidly changing, developing and moving environment.
It would be music to our ears if you also had:
Experience working with databases and large sets of data.
Familiarity with scripting languages such as Python, particularly the Pandas library.
A self-motivated candidate with good communication skills who can problem solve and find solutions.
Junior Data Analyst employer: Warner Music Inc.
Contact Detail:
Warner Music Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst
✨Tip Number 1
Familiarize yourself with the music industry and digital sales platforms like Spotify and Apple Music. Understanding how these platforms operate will give you an edge in discussions with labels and affiliates.
✨Tip Number 2
Brush up on your Excel skills, especially functions that deal with data analysis. Being proficient in Excel will not only help you in your daily tasks but also demonstrate your capability to handle large datasets effectively.
✨Tip Number 3
Practice your analytical skills by working on sample datasets. Try to identify trends or anomalies within the data, as this will prepare you for the kind of work you'll be doing at StudySmarter.
✨Tip Number 4
If you have experience with Python, particularly the Pandas library, make sure to highlight it. Familiarity with scripting languages can set you apart from other candidates and show your ability to automate data processes.
We think you need these skills to ace Junior Data Analyst
Some tips for your application 🫡
Highlight Relevant Skills: Make sure to emphasize your proficiency with Microsoft Excel and any experience you have with databases or scripting languages like Python. Mention specific functions or projects where you've utilized these skills.
Show Your Analytical Mindset: In your application, provide examples of how you've approached data analysis in the past. Discuss any projects where you had to interpret large sets of data and how you derived insights from them.
Demonstrate Attention to Detail: Include instances in your application where your attention to detail made a difference. This could be in previous jobs, academic projects, or personal endeavors where thoroughness was key.
Communicate Your Self-Driven Attitude: Illustrate your ability to work independently by sharing experiences where you set your own deadlines and managed your time effectively. Highlight any situations where you successfully adapted to changing environments.
How to prepare for a job interview at Warner Music Inc.
✨Show Your Data Skills
Be prepared to discuss your experience with data analysis and any relevant tools you've used, especially Microsoft Excel. Highlight specific functions or projects where you successfully managed large data sets.
✨Demonstrate Problem-Solving Abilities
Think of examples where you've encountered challenges in data handling or analysis. Be ready to explain how you approached these problems and what solutions you implemented.
✨Communicate Clearly
Since you'll be interacting with labels and affiliates, practice explaining complex data concepts in simple terms. This will showcase your ability to communicate effectively with external customers.
✨Emphasize Adaptability
Discuss your experiences in fast-paced environments and how you've adapted to changes. This will demonstrate your readiness to thrive in a rapidly changing setting, which is crucial for this role.
