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- Tasks: Analyse customer behaviour to drive engagement and retention strategies.
- Company: Leading media company with a focus on innovation and growth.
- Benefits: Gain valuable experience, develop skills, and work in a collaborative environment.
- Why this job: Make an impact by supporting data-driven decisions that enhance customer journeys.
- Qualifications: Strong background in statistics and proficiency in SQL required.
- Other info: Opportunities for skill development and career advancement in a dynamic team.
The predicted salary is between 28800 - 48000 £ per year.
A leading media company is looking for a Customer Data Analyst to analyze customer behavior and support data-driven decision-making. This role focuses on engagement, retention, and subscription journeys. The candidate will work closely with other analysts and data scientists, gaining experience in data analysis and reporting.
A strong background in statistics and proficiency in SQL are essential. Successful candidates will have opportunities to develop their skills in a collaborative environment focused on growth and innovation.
Customer Data Analyst: Insights & Growth in London employer: The Independent
Contact Detail:
The Independent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Data Analyst: Insights & Growth in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the media industry, especially those who work as analysts. A friendly chat can give us insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analysis projects, especially those involving customer behaviour. This will help us stand out during interviews and demonstrate our hands-on experience.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL skills and statistical knowledge. We can find online resources or mock interviews to help us feel confident when discussing technical questions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight how our skills align with the role of Customer Data Analyst.
We think you need these skills to ace Customer Data Analyst: Insights & Growth in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and SQL. We want to see how your skills align 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 customer behaviour and how you can contribute to our team. Keep it engaging and personal – we love a bit of personality!
Showcase Your Analytical Skills: In your application, give examples of how you've used data to drive decisions in previous roles. We’re looking for candidates who can demonstrate their analytical prowess and how it led to tangible results.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at The Independent
✨Know Your Numbers
Brush up on your statistics and SQL skills before the interview. Be ready to discuss specific examples of how you've used data analysis to drive engagement or retention in previous roles. This will show that you can apply your knowledge practically.
✨Understand Customer Journeys
Familiarise yourself with customer engagement and subscription journeys. Think about how data influences these processes and be prepared to share insights or strategies you've implemented in the past. This demonstrates your understanding of the role's focus.
✨Collaborative Mindset
Since this role involves working closely with other analysts and data scientists, highlight your teamwork experiences. Share examples of successful collaborations and how they led to innovative solutions. This shows you're a great fit for their collaborative environment.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's approach to data-driven decision-making. Inquire about the tools they use or how they measure success in customer engagement. This not only shows your interest but also your analytical mindset.
