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- Tasks: Analyse data and ensure quality for music distribution insights.
- Company: Leading music and data company based in London.
- Benefits: Flexible hours, private medical care, and lifestyle perks.
- Why this job: Join a passionate team improving music data quality.
- Qualifications: Experience with database systems and data reporting skills.
- Other info: Permanent, full-time role with a focus on career development.
The predicted salary is between 36000 - 60000 £ per year.
A leading music and data company in London is seeking a Repertoire Data and QA Analyst for a permanent, full-time role. This position involves data analysis, quality assurance tasks, and reporting insights to improve data quality and ensure proper distributions.
Candidates should have experience with database systems and proficiency in data reporting.
The company offers flexible working hours, private medical care, and additional perks to support employee lifestyle. Join a passionate team dedicated to enhancing music data quality.
Hybrid Repertoire Data Analytics & QA Specialist employer: PPL
Contact Detail:
PPL Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Repertoire Data Analytics & QA Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the music and data industry on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Prepare for interviews by brushing up on your data analysis skills. Be ready to discuss how you've tackled quality assurance tasks in the past. We want to see your passion for improving data quality shine through!
✨Tip Number 3
Showcase your experience with database systems during interviews. Bring examples of how you've used data reporting to drive insights. This is your chance to impress us with your analytical prowess!
✨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 are proactive about joining our passionate team.
We think you need these skills to ace Hybrid Repertoire Data Analytics & QA Specialist
Some tips for your application 🫡
Show Your Passion for Music Data: When you're writing your application, let your love for music and data shine through! We want to see how your experience aligns with our mission to enhance music data quality.
Highlight Relevant Experience: Make sure to showcase any previous roles where you've worked with database systems or data reporting. We’re looking for candidates who can hit the ground running, so don’t hold back on those skills!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so make it easy for us to see why you’d be a great fit for the role without wading through unnecessary fluff.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at PPL
✨Know Your Data
Make sure you brush up on your data analysis skills before the interview. Familiarise yourself with common database systems and reporting tools that are relevant to the role. Being able to discuss specific examples of how you've improved data quality in the past will really impress them.
✨Quality Assurance Focus
Since this role involves quality assurance, be prepared to talk about your experience with QA processes. Think of specific instances where you identified issues in data and how you resolved them. This shows your attention to detail and commitment to maintaining high standards.
✨Show Your Passion for Music Data
This company is all about enhancing music data quality, so let your passion shine through! Share any personal projects or experiences related to music data analytics. This will help you connect with the team and demonstrate that you're not just looking for a job, but genuinely interested in their mission.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask during the interview. Inquire about the team's current challenges with data quality or how they measure success in this role. This shows that you're engaged and eager to contribute to their goals, making you a standout candidate.
