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- Tasks: Analyse data to optimise vending operations and maximise sales.
- Company: Join a growing team within Compass Group UK & Ireland.
- Benefits: Gain valuable experience in a collaborative environment with career growth.
- Why this job: Make a real impact on revenue and customer experience through data-driven decisions.
- Qualifications: Strong numeracy, analytical skills, and advanced Excel proficiency required.
- Other info: Ideal for those who enjoy problem-solving and working independently.
The predicted salary is between 36000 - 60000 £ per year.
Location: East Kilbride
About the role
Excel is a leading vending operator, recently incorporated within a national network of businesses forming the Amplifi arm of Compass Group UK & Ireland. As a Retail Operations Analyst, you’ll play a key role in ensuring the smooth and efficient running of our vending operation. Working closely with the Operations and Finance teams, you’ll use data, planning and analysis to optimise machine visits, stock allocation and pricing — maximising sales while minimising vend-outs and operational inefficiencies. This is a hands-on, analytical role ideal for someone who enjoys working with numbers, spotting trends, and making data-driven decisions that have a direct commercial impact.
Key responsibilities
- Review operator visit schedules to ensure routes are efficient and demand-led
- Add or remove machine visits based on performance and telemetry data
- Analyse and adjust machine stock mix and planograms to maximise sales return
- Update planogram pricing and push agreed pricing changes to machines
- Review and approve operator stock requests, liaising with the warehouse team for picking
- Analyse operator stock takes and flag exceptions to the Operations Supervisor
- Monitor retail price exception dashboards, investigating discrepancies between systems and machine telemetry
- Provide holiday cover for other Operations Analysts when required
- Support wider finance and operational teams with ad-hoc analysis and reporting
What we’re looking for
- Strong numeracy and analytical skills
- Advanced Excel skills (essential)
- Excellent attention to detail with a high level of accuracy
- Strong planning and organisational skills
- Clear and confident communication skills (written and verbal)
- A proactive, problem-solving mindset with the ability to work independently
Experience & qualifications
- Previous experience in an analytical, operations, retail, supply chain or planning role preferred
- HND in Business, Accounting or Science (or equivalent) desirable
Why join us?
- Be part of a growing business within Compass Group UK & Ireland
- Work in a role with real influence on revenue, efficiency and customer experience
- Join a collaborative operations team where data and insight drive decision-making
- Opportunity to develop analytical, commercial and operational expertise
Retail Operations Analyst in East Kilbride employer: Foodbuy
Contact Detail:
Foodbuy Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Retail Operations Analyst in East Kilbride
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use examples from your past experiences to demonstrate how you've tackled challenges and made data-driven decisions.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you and tailor your approach to each one!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can leave a lasting impression and show your enthusiasm for the role. It’s a simple way to stand out from the crowd.
We think you need these skills to ace Retail Operations Analyst in East Kilbride
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Retail Operations Analyst role. Highlight your analytical skills and any experience with Excel, as these are key for us. Use specific examples that show how you've used data to drive decisions in previous roles.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background fits with our needs. Be sure to mention your problem-solving mindset and any relevant experience in retail or operations.
Show Off Your Numbers Skills: Since this role is all about data, don’t shy away from showcasing your numeracy skills. Include any projects or tasks where you’ve successfully analysed data to improve efficiency or sales. We love seeing how you can make an impact!
Apply Through Our Website: We encourage you to apply through our website for a smoother application 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 Foodbuy
✨Know Your Numbers
As a Retail Operations Analyst, you'll be working with data all day long. Brush up on your Excel skills and be ready to discuss how you've used data to make decisions in the past. Prepare some examples of how you've spotted trends or optimised processes using numbers.
✨Understand the Business
Familiarise yourself with the vending industry and the specific operations of the company you're interviewing with. Knowing how they optimise machine visits and stock allocation will show that you're genuinely interested and can hit the ground running.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to stock management or route efficiency. Think through potential scenarios beforehand and be ready to explain your thought process and the data-driven decisions you would make.
✨Showcase Your Communication Skills
You'll need to liaise with various teams, so practice articulating your thoughts clearly. Be prepared to discuss how you've communicated complex data insights to non-analytical stakeholders in the past, demonstrating your ability to bridge the gap between data and action.