At a Glance
- Tasks: Analyse viewer behaviours and optimise subscription strategies to drive insights.
- Company: Leading media company with a focus on innovation and collaboration.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Influence strategic decisions in a dynamic media landscape and enhance consumer offerings.
- Qualifications: Experience in data analytics, SQL expertise, and strong communication skills.
- Other info: Join a vibrant team and make a real impact in the media industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading media company is seeking a Senior Data Analyst to join their insight group. This hybrid role is essential in analyzing viewer behaviours and optimizing subscription strategies. The analyst will drive insights to enhance ITV's consumer offerings and work collaboratively across teams.
Candidates should have a background in data analytics, SQL expertise, and strong communication skills. Join the team to influence strategic decisions in a dynamic and evolving media landscape.
Subscription Analytics Lead: Senior Data Analyst (Hybrid) employer: ITV
Contact Detail:
ITV Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Subscription Analytics Lead: Senior Data Analyst (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to people in the media industry, especially those working in analytics. A friendly chat can open doors and give you insights that might not be on the job description.
✨Tip Number 2
Show off your SQL skills! Prepare a few examples of how you've used data to drive decisions in past roles. Being able to discuss real-world applications will make you stand out during interviews.
✨Tip Number 3
Practice your communication skills! Since this role involves collaboration, being able to explain complex data insights in simple terms is key. Try explaining your past projects to friends or family to refine your pitch.
✨Tip Number 4
Apply through our website! We want to see your application directly, and it gives us a chance to get to know you better. Plus, it shows you're genuinely interested in joining our team!
We think you need these skills to ace Subscription Analytics Lead: Senior Data Analyst (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your data analytics experience and SQL skills. We want to see how your background aligns with the role of Subscription Analytics Lead, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to enhancing ITV's consumer offerings. Let us know what makes you the perfect fit for our team.
Showcase Your Communication Skills: Since this role involves collaboration across teams, make sure to highlight your strong communication skills in your application. We love candidates who can convey complex insights clearly and effectively!
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!
How to prepare for a job interview at ITV
✨Know Your Data Inside Out
Make sure you’re well-versed in data analytics concepts and can discuss your previous projects confidently. Brush up on SQL queries and be ready to explain how you've used them to derive insights in past roles.
✨Understand Viewer Behaviours
Research the media company’s current subscription strategies and viewer behaviours. Be prepared to discuss how your analysis can directly impact their consumer offerings and suggest improvements based on your findings.
✨Showcase Your Communication Skills
Since this role involves collaboration across teams, practice articulating complex data insights in a clear and engaging manner. Think of examples where you’ve successfully communicated findings to non-technical stakeholders.
✨Prepare for Scenario Questions
Expect questions that ask how you would approach specific data challenges or scenarios related to subscription analytics. Prepare structured responses that highlight your analytical thinking and problem-solving skills.