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For Companies At a Glance
- Tasks: Transform raw data into actionable insights for Boots' commercial decisions.
- Company: Join a diverse and inclusive team at Boots, a leader in retail.
- Benefits: Enjoy flexible benefits, generous discounts, and a supportive work environment.
- Why this job: Make a real impact by analysing data that drives business success.
- Qualifications: Degree in a numerate field and experience in data analysis preferred.
- Other info: Opportunities for part-time roles and career growth in a dynamic setting.
The predicted salary is between 28800 - 48000 £ per year.
Overview
Job Title: Category Management Data Analyst
Location: Nottingham
Contract: Perm
Recruiter: Noaman Hussain
International Technology & Advanced Analytics (IT2A) is a multi-national team of specialists in security, hosting, architecture, software engineering, networks and project delivery, supporting Boots and No7. We are a proud equal opportunity employer, embracing diversity and providing an inclusive working environment.
About the role
We are looking for a Category Management Data Analyst to join the Data Science and Analytics team within Boots Data Office. You will work with the Boots UK team to turn raw data and fragmented, multi-sourced information into meaningful insight, understanding both the bigger picture and detail.
Responsibilities
- Prepare retail lever analytical tools to manage and evaluate commercial decisions for price, range/distribution and supplier/brand
- Coordinate and curate a suite of automated reports and text file based trend information to support each category project
- Work with a wide range of stakeholders across our commercial and insight teams in Boots UK and / or International Retail
- Deliver end-to-end category analysis with your experience of analysing large data sets through SQL or similar
- Continuously maintain and develop insight best practice to build and share category management capability with the commercial teams across Boots UK.
Qualifications & experience
- Excellent interpersonal, relationship building and presentational skills
- Proficient in Excel and PowerPoint; working knowledge of lookups, pivot tables and charts is advantageous
- A keen interest in how retail works and in the Boots business
- Ideally a year\’s commercial experience in an analytical role
- Degree level (or equivalent) in a numerate discipline – preferably Statistics, Mathematics, Marketing or Business Studies with knowledge of business analysis, marketing or similar
Benefits
- Retirement Savings Plan
- Discretionary annual bonus
- Generous employee discounts
- Enhanced maternity/paternity/adoption leave pay and gift card for anyone expecting or adopting a child
- Flexible benefits scheme including option to buy additional holiday, discounted gym membership, life assurance, activity passes and more
- Access to free, 24/7 counselling and support through TELUS Health
We have a great range of benefits in addition to the above that offer flexibility to suit you. Find out more at boots.jobs/rewards. Exclusions may apply; eligible roles only. Salary estimates on third-party sites are not provided or endorsed by Boots and may not be accurate.
What’s next
Where a role is advertised as full-time, we are open to discussing part-time and job share options during the application process. If you require additional support as part of the application and interview process, we are happy to provide reasonable adjustments to help you be at your best.
This role requires the successful candidate to complete a Pre-employment check after receiving an offer. Depending on your location you may be asked to submit a DBS, PVG, or Access NI check.
We are a Ban the Box employer and will consider the suitability of applicants with criminal convictions on a case-by-case basis.
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Analyst Level 7 employer: Boots Opticians
Contact Detail:
Boots Opticians Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst Level 7
✨Tip Number 1
Network like a pro! Reach out to current employees at Boots or in similar roles on LinkedIn. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by practising common questions related to data analysis and retail insights. We recommend using the STAR method to structure your answers – it helps you showcase your skills effectively!
✨Tip Number 3
Show off your analytical skills during the interview! Bring examples of how you've turned raw data into actionable insights in past roles. This will demonstrate your fit for the Category Management Data Analyst position.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Analyst Level 7
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Analyst Level 7 role. Highlight your experience with data analysis, SQL, and any relevant projects that showcase your skills in turning raw data into insights. We want to see how you can contribute to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our needs at Boots. Don’t forget to mention your interest in retail and how you can help us make informed commercial decisions.
Showcase Your Skills: Be sure to highlight your proficiency in Excel and PowerPoint. Mention specific tools or techniques you've used, like pivot tables or automated reporting, to demonstrate your analytical capabilities. We love seeing practical examples of your work!
Apply Through Our Website: We encourage you to apply through our website for the best chance of success. It’s straightforward and ensures your application goes directly to us. Plus, you’ll find all the details you need about the role and our fantastic benefits!
How to prepare for a job interview at Boots Opticians
✨Know Your Data Tools
Make sure you're familiar with SQL and Excel, as these are crucial for the Analyst Level 7 role. Brush up on your skills with lookups, pivot tables, and charts, so you can confidently discuss how you've used them in past projects.
✨Understand Boots' Business
Take some time to research Boots and its operations. Understanding their retail strategies and how data analytics plays a role will help you demonstrate your keen interest in the business during the interview.
✨Prepare for Stakeholder Interaction
Since you'll be working with various stakeholders, think of examples where you've successfully built relationships or communicated complex data insights. Be ready to share how you can collaborate effectively with teams across different functions.
✨Showcase Your Analytical Experience
Be prepared to discuss your previous analytical roles and how you've turned raw data into actionable insights. Use specific examples to illustrate your experience in delivering end-to-end category analysis and how it benefited your previous employers.
