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- Tasks: Lead a team to create top-notch Power BI reports and manage data pipelines.
- Company: Join Marks and Spencer, a leading retail brand in London.
- Benefits: Enjoy a 20% discount on M&S products and comprehensive wellbeing support.
- Other info: Great opportunity for career growth in a supportive environment.
- Why this job: Make an impact in retail analytics while leading a dynamic team.
- Qualifications: Strong SQL, PySpark, Python skills, and experience with customer data.
The predicted salary is between 60000 - 80000 £ per year.
Marks and Spencer is seeking a Team Leader for Data Analytics in London. The role involves leading a team to develop high-quality Power BI reports and managing data pipelines. Candidates should have strong skills in SQL, PySpark, Python, and experience with customer data, ideally in retail.
The position offers competitive benefits including a 20% discount on M&S products and a comprehensive wellbeing support system.
Lead Analytics Engineer & Power BI Reporting employer: Marks and Spencer
Contact Detail:
Marks and Spencer Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analytics Engineer & Power BI Reporting
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those at Marks and Spencer. A friendly chat can open doors and give you insights that might just set you apart from the crowd.
✨Tip Number 2
Show off your skills! When you get the chance to interview, be ready to discuss your experience with SQL, PySpark, and Python. Bring examples of your Power BI reports to the table – it’s all about demonstrating what you can do!
✨Tip Number 3
Tailor your approach! Research Marks and Spencer’s data analytics needs and align your skills with their goals. This shows you’re not just another candidate; you’re the right fit for their team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Lead Analytics Engineer & Power BI Reporting
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, PySpark, and Python. We want to see how your skills align with the role of Lead Analytics Engineer, so don’t hold back on showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about data analytics and how your leadership experience can benefit our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Power BI Skills: Since this role involves developing high-quality Power BI reports, include examples of your previous work with Power BI. If you’ve created impactful dashboards or reports, let us know – we’re keen to see your creativity in action!
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 from our team!
How to prepare for a job interview at Marks and Spencer
✨Know Your Tech Inside Out
Make sure you brush up on your SQL, PySpark, and Python skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to customer data and reporting.
✨Showcase Your Leadership Skills
As a Team Leader, you'll need to demonstrate your ability to lead a team effectively. Prepare examples of how you've managed teams in the past, focusing on how you motivated them and ensured high-quality outputs.
✨Familiarise Yourself with Power BI
Since the role involves developing Power BI reports, make sure you can talk about your experience with this tool. Bring examples of reports you've created and be ready to discuss the impact they had on decision-making.
✨Understand the Retail Landscape
Marks and Spencer is a retail giant, so having a grasp of the retail industry and its data challenges will set you apart. Research current trends in retail analytics and think about how they could apply to M&S.