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For Companies At a Glance
- Tasks: Lead a team to develop and optimise high-quality data products for data-driven decisions.
- Company: A leading retail company in the UK with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by driving data innovation in a dynamic retail environment.
- Qualifications: Experience with SQL, Python, data visualisation tools, and strong leadership skills.
- Other info: Join a collaborative team committed to continuous improvement and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A leading retail company in the UK is seeking an Analytics Manager to lead a team in developing and optimizing high-quality data products. This hybrid role involves collaboration across various business and technology teams to enable data-driven decision-making.
The ideal candidate should have experience with SQL, Python, and data visualization tools, along with strong leadership skills. A commitment to continuous improvement and innovation in data practices is essential for success in this role.
Analytics Capabilities Manager: Lead Data Products & AI in Welwyn Garden City employer: Tesco
Contact Detail:
Tesco Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Capabilities Manager: Lead Data Products & AI in Welwyn Garden City
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with SQL, Python, and data visualisation tools. This will help us see how you can lead our data products effectively.
✨Tip Number 3
Practice makes perfect! Get ready for interviews by rehearsing common questions related to analytics and leadership. We want to see your passion for continuous improvement and innovation shine through!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in being part of our team.
We think you need these skills to ace Analytics Capabilities Manager: Lead Data Products & AI in Welwyn Garden City
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python, and data visualisation tools. We want to see how your skills align with the role of Analytics Capabilities Manager, so don’t hold back on showcasing your relevant achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about leading data products and how your leadership skills can drive innovation. We love seeing candidates who are genuinely excited about the role.
Showcase Your Collaborative Spirit: Since this role involves working across various teams, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you can contribute to a data-driven culture!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Tesco
✨Know Your Data Tools
Make sure you brush up on your SQL, Python, and any data visualisation tools mentioned in the job description. Be ready to discuss how you've used these tools in past projects and how they can be applied to enhance data products.
✨Showcase Leadership Experience
Prepare examples that highlight your leadership skills. Think about times when you led a team or project, focusing on how you motivated others and drove results. This will demonstrate your capability to lead a team effectively.
✨Emphasise Collaboration
Since this role involves working with various business and technology teams, be ready to talk about your experience in cross-functional collaboration. Share specific instances where you successfully worked with different departments to achieve a common goal.
✨Commit to Continuous Improvement
Express your passion for innovation and continuous improvement in data practices. Discuss any initiatives you've taken to improve processes or products in your previous roles, showing that you're proactive and forward-thinking.
