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- Tasks: Lead data product development and manage ETL processes for major clients.
- Company: A leading media agency in Greater London with a dynamic team.
- Benefits: Hybrid work environment, competitive benefits, and professional growth opportunities.
- Other info: Join a vibrant team and grow your career in the media industry.
- Why this job: Make an impact by supporting client roadmaps and ensuring data integrity.
- Qualifications: Proficiency in Python, SQL, and hands-on experience in Power BI required.
The predicted salary is between 50000 - 65000 £ per year.
A leading media agency in Greater London seeks a Manager, Data & Tech to lead data product development for major clients. The successful candidate will manage ETL processes, ensure data integrity, and support client roadmaps. Proficiency in Python and SQL, along with hands-on experience in Power BI, is essential for this pivotal role. This position offers a hybrid work environment, competitive benefits, and opportunities for professional growth within a dynamic team.
Data & Tech Manager: Client Dashboards Lead in London employer: WPP Media
Contact Detail:
WPP Media Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & Tech Manager: Client Dashboards Lead in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at media agencies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with Python, SQL, and Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data management scenarios. Be ready to discuss how you've handled ETL processes and ensured data integrity in past roles. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining our dynamic team. It shows initiative and enthusiasm!
We think you need these skills to ace Data & Tech Manager: Client Dashboards Lead in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and Power BI. We want to see how your skills align with the role of Data & Tech Manager, 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 passionate about data product development and how you can contribute to our clients' success. Keep it engaging and personal – we love a good story!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've tackled challenges in data management or client projects. We’re looking for someone who can think on their feet and drive results, so let us know how you’ve done that in the past!
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 don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at WPP Media
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Integrity Skills
Prepare examples that demonstrate your experience with ETL processes and maintaining data integrity. Think about how you’ve ensured accuracy in past projects and be ready to explain your approach to potential pitfalls.
✨Familiarise Yourself with Client Dashboards
Since this role involves leading data product development for clients, it’s crucial to understand what makes an effective client dashboard. Research best practices and be prepared to share your ideas on how to enhance user experience and data visualisation.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy and how they envision the role evolving. This shows your genuine interest and helps you assess if the company is the right fit for you.