Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Transform data into insights that drive smarter decisions in retail and ecommerce.
- Company: Join Co-op, a leading retailer with a focus on community and collaboration.
- Benefits: Competitive salary, annual bonus, 28 days holiday, and flexible working options.
- Why this job: Make a real impact on customer experiences and shape the future of retail.
- Qualifications: Experience as a Data Analyst and proficiency in SQL, R, and Python.
- Other info: Diverse and inclusive team culture with opportunities for growth.
The predicted salary is between 32000 - 42000 £ per year.
£38,000 to £50,000 plus great benefits (Work Level 6A)
Manchester city centre | Hybrid
Please be aware Co-op does not offer visa sponsorship for this opportunity.
We’re looking for a Retail Data Analyst to join our Analytics and Insight team in Manchester to turn our data into actionable insights across our food retail and ecommerce business. You’ll work closely with colleagues to understand their needs and deliver end-to-end analytics projects that help us make smarter, and more well-informed, decisions that help to support growth.
Why this role matters
As a Retail Data Analyst, you’ll play a key role in helping us to understand customer behaviour, optimise performance, and shape the future of our instore and digital offering. Your insights will directly influence decisions that impact millions of our customers and member-owners.
Responsibilities
- Deliver end-to-end analytics projects, using a wide variety of advanced analytics techniques.
- Use statistical and modelling techniques to build segmentations, test hypotheses, and predict future outcomes.
- Present findings and recommendations clearly to both technical and non-technical audiences.
- Use languages such as SQL, R, and Python within tools such as SSMS and Databricks.
- Collaborate with colleagues to identify requirements and design solutions that meet their needs.
Qualifications
- Experience making an impact as a Data Analyst in any sector.
- Significant experience using coding languages such as SQL, R, and Python within tools such as SSMS and Databricks.
- Experience manipulating and analysing large, complex datasets.
- Experience with statistical techniques such as regression modelling, segmentation and clustering.
- Proven ability to translate data into clear, actionable insights for a range of audiences.
We know some people may hesitate to apply if they don’t meet every requirement. At Co-op, we’re committed to building diverse and inclusive teams, so if you’re excited about this role but your experience doesn’t align perfectly, we still encourage you to apply.
We’re open to applications from people who may require flexible working arrangements. There’ll be an opportunity to discuss your flexible working requirements during the interview process, and at offer stage.
Benefits
- An annual bonus (based on personal and business performance).
- 28 days holiday (rising to 32 with service).
Retail Data Analyst in Manchester employer: Co-op
Contact Detail:
Co-op Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Retail Data Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Co-op on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your SQL, R, and Python skills. We want to show off our technical prowess, so practice explaining complex data concepts in simple terms – it’ll impress both the techies and non-techies!
✨Tip Number 3
Showcase our analytical projects in a portfolio. If we’ve worked on any cool data visualisations or insights, let’s make sure they’re front and centre. It’s a great way to demonstrate our hands-on experience!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, we can tailor our application to highlight how we meet the specific needs of the Retail Data Analyst role.
We think you need these skills to ace Retail Data Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Retail Data Analyst role. Highlight your experience with SQL, R, and Python, and showcase any projects where you've turned data into actionable insights. We want to see how you can make an impact!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your skills align with our needs. Don’t forget to mention your experience with analytics projects and how you’ve collaborated with others.
Showcase Your Analytical Skills: In your application, be sure to include specific examples of how you've used statistical techniques and coding languages to solve problems. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Co-op
✨Know Your Data Tools
Make sure you’re familiar with SQL, R, and Python, as these are key to the role. Brush up on your skills in SSMS and Databricks too, as you might be asked to demonstrate your proficiency during the interview.
✨Understand the Business
Research Co-op’s food retail and ecommerce business. Understand their customer base and how data analytics can influence decision-making. This will help you tailor your answers and show that you’re genuinely interested in the company.
✨Prepare for Technical Questions
Expect questions about statistical techniques like regression modelling and segmentation. Be ready to discuss how you’ve used these methods in past projects and the impact they had on decision-making.
✨Communicate Clearly
Practice presenting your findings in a way that’s easy to understand for both technical and non-technical audiences. Use examples from your experience to illustrate how you’ve successfully communicated insights in the past.
