At a Glance
- Tasks: Use data to optimise product ranges and enhance customer shopping experiences.
- Company: Join Co-op, a community-focused organisation that values its members.
- Benefits: Competitive salary, annual bonus, 28 days holiday, and discounts on products.
- Other info: Diverse and inclusive workplace with excellent career progression opportunities.
- Why this job: Make a real impact on product offerings while developing your analytical skills.
- Qualifications: Experience in analytics, strong communication skills, and a collaborative mindset.
The predicted salary is between 48000 - 52000 £ per year.
£48,000 to £52,000 plus excellent benefits (Work Level 6A) Manchester City Centre, in this role you’ll work in a hybrid way splitting your time between home and the office.
12 month fixed-term contract
We're looking for a Range Optimisation Analyst to join our Food Commercial team. You'll use data, insight and commercial thinking to help shape the product ranges our customers see in stores across the UK. Working closely with category teams and key stakeholders, you'll play an important role in supporting ranging decisions, improving how we work and helping us deliver a great shopping experience for our customers and members. Alongside supporting our Range Event calendar, you’ll shape and embed best practice within the Range Optimisation team, driving continuous improvement and supporting the delivery of strategic priorities. Through coaching, collaboration and a forward-looking mindset, you’ll ensure our processes, tools and methodologies remain effective, scalable and aligned to both the Range Strategy and the evolving needs of the business.
Why this role matters
Every community we serve is different. That's why it's important we make informed decisions about the products we stock and where we stock them. In this role, you'll help ensure our stores have ranges that meet customer needs, support commercial performance and align with our wider Food strategy.
What you’ll do
- Use data and insight to support range and clustering decisions across our store estate
- Identify opportunities to improve processes, tools and ways of working
- Help define and embed best practice across the Range Optimisation team
- Coach and support colleagues, sharing knowledge and expertise across the team
- Support projects, trials and new initiatives that require different ranging approaches
- Act as a key point of support for the Range Optimisation Manager when needed
- Spot emerging trends and opportunities, using insight to help shape future activity
- Be trained to set up and deliver Range Reviews using our ranging software
- Build strong relationships with category and commercial teams to understand their range strategy and translate this to direct where products go in our store estate
- Assist in category reviews and conduct post-analysis to measure the effectiveness of decisions and their impact on stores
What you’ll bring
- Experience in an analytical, commercial or planning role
- Strong analytical skills, with experience of working with and interpreting large data sets and turning them into recommendations
- Excellent communication and relationship management skills with the ability to engage with partners from all levels and influence decision making
- Experience influencing decisions and driving improvements through insight
- A collaborative approach, with the confidence to support and develop others
- Great IT skills, including the ability to produce reports, use a variety of formulas and the ability to learn new software
Why Co-op?
At Co-op, we’re owned by our members. And because we’re owned by you, we can do right by you. So when you join us, you’re not just taking a job, you’re joining a movement. We’re an organisation that puts people and communities first, and we’re powered by purpose. We want this to be a place where you can thrive, so you’ll also receive:
- An annual bonus (based on personal and business performance)
- 28 days holiday (rising to 32 with service) plus bank holidays
- A pension with up to 10% employer contributions
- Access to a subsidised onsite gym (at our Manchester HQ)
- 30% discount on Co-op products and 10% off other brands
- Stream – early access to a percentage of your pay as you earn it
- Virtual healthcare including GP appointments, mental health support, nutrition and fitness advice
- 24/7 colleague support service
- Training and support for your development and career progression
- Cycle-to-work scheme
A place you’ll belong
We’re building diverse and inclusive teams that reflect the communities we serve. We welcome applications from everyone and are committed to creating a workplace where colleagues can feel like they belong, supported by our inclusive policies and the ways we work. We’re proud to be part of the Disability Confident scheme and offer interviews to disabled candidates who meet the minimum criteria for a job. If you need any adjustments during the recruitment process, we’ll support you.
Range Optimisation Analyst in Manchester employer: Co-op
Co-op is an excellent employer that fosters a collaborative and innovative work culture, particularly for the Senior Power Platform & Automation Engineer role. With a strong focus on employee growth, you will have opportunities to mentor colleagues and lead digital transformation initiatives while enjoying the flexibility of a hybrid working model in Manchester. The company values your contributions and offers a supportive environment where you can thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Range Optimisation Analyst in Manchester
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Co-op before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
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We think you need these skills to ace Range Optimisation Analyst in Manchester
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Co-op, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Co-op, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Co-op’s attention and show the tangible impact of your work.
How to prepare for a job interview at Co-op
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Co-op.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Co-op.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Co-op.
