At a Glance
- Tasks: Drive growth through advanced analytics and transform data into actionable insights.
- Company: Join a leading global retail brand with a focus on innovation.
- Benefits: Enjoy hybrid work, health coverage, and career development opportunities.
- Why this job: Make a real impact in retail by leveraging your data expertise.
- Qualifications: 5+ years in analytics, strong SQL skills, and experience with data visualisation tools.
- Other info: Dynamic role with opportunities for professional growth in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading global retail brand is seeking a Senior Manager, Data Analytics to accelerate growth through advanced analytics. This position leverages data science to convert routine reporting into actionable insights and enhance operational efficiency.
Applicants should have over 5 years of analytics experience in retail or e-commerce, along with strong skills in SQL and data visualization tools.
The role offers a hybrid work model and various employee benefits, including health coverage and career development opportunities.
Senior Data Analytics Manager, EMEAI Growth employer: Tapestry
Contact Detail:
Tapestry Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analytics Manager, EMEAI Growth
✨Tip Number 1
Network like a pro! Reach out to connections in the retail and e-commerce sectors. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data analytics projects, especially those that turned insights into action. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your SQL and data visualisation skills. Consider mock interviews with friends or use online platforms to simulate real interview scenarios.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, ensuring it gets the attention it deserves. Plus, you’ll be one step closer to joining our amazing team!
We think you need these skills to ace Senior Data Analytics Manager, EMEAI Growth
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 5+ years of analytics experience in retail or e-commerce. We want to see how you've used data science to drive growth and efficiency in your previous roles.
SQL Skills are Key: Don’t forget to mention your strong SQL skills! We love seeing how you’ve used SQL to turn data into actionable insights, so give us some examples in your application.
Visualisation Matters: If you’ve got experience with data visualisation tools, shout about it! Show us how you’ve transformed complex data into easy-to-understand visuals that have helped inform decisions.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Tapestry
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools and techniques relevant to the role. Brush up on your SQL skills and be ready to discuss how you've used data visualisation tools to drive insights in your previous roles.
✨Showcase Your Retail Experience
Since this position is in the retail sector, prepare examples of how your analytics work has directly impacted growth or efficiency in a retail or e-commerce setting. Be specific about the challenges you faced and how you overcame them.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems using data. Practice articulating your thought process clearly, as this will demonstrate your analytical thinking and problem-solving skills.
✨Highlight Your Leadership Skills
As a Senior Manager, you'll need to show that you can lead a team effectively. Prepare to discuss your experience in mentoring others, managing projects, and driving team success through collaboration and communication.