At a Glance
- Tasks: Transform data into actionable insights for Facilities Management and Logistics projects.
- Company: Join a supportive consultancy team with a focus on analytics and commercial insight.
- Benefits: Competitive salary, fully remote work, and structured career progression.
- Other info: Opportunity for rapid growth into an Estimator role within 2-3 years.
- Why this job: Kickstart your analytics career while making a real impact in a growing field.
- Qualifications: Experience in data analysis or finance, strong Excel skills, and a curiosity to learn.
The predicted salary is between 22000 - 28000 £ per year.
Location: Fully Remote with occasional meetings in Lincolnshire and across the UK, so the ideal candidate will be based in the East Midlands region.
Salary: £26,000 - £32,000 + benefits
Contract: Permanent, Full-time
Start your career where data meets decisions. If you’re curious about how numbers shape real-world outcomes and want a role that blends analytics with commercial insight, this is your chance. As an Analyst, you’ll join a consultancy team that supports pricing and estimating for Facilities Management and Logistics projects, helping turn complex data into clear, actionable plans. This is a foundation for a career in analytics, with structured training and mentoring to help you progress into an Estimator position within two to three years.
What you’ll be doing:
- You’ll begin by bringing order to tender data, cleaning and validating information from documents, drawings, and asset lists so it’s ready for analysis.
- From there, you’ll help build cost models and pricing templates, prepare simple dashboards, and support the bid team with clear, accurate reports.
- Supplier engagement will also be part of your role; gathering quotes, checking data accuracy, and highlighting key differences to inform decisions.
- You’ll maintain rate libraries and supplier trackers, assist with RFQs, and learn how compliance and sourcing timelines fit into the bigger picture.
- As you grow, you’ll contribute to process improvements, automation, and continuous development of the pricing tools, building skills that will set you up for long-term success.
What we’re looking for:
- You might have some experience in data analysis, pricing, finance, or commercial administration, perhaps from a graduate role or placement and you’re comfortable working with numbers and logic.
- Strong Excel skills are essential, and an interest in tools like Power BI, SQL, or Python will help you stand out.
- Above all, we’re looking for curiosity, attention to detail, and a willingness to learn.
If you’re excited by the idea of turning data into decisions and building a career in a growing field, we’d love to hear from you.
Why join?
- Salary of £26K-£32K, depending on experience.
- Fully remote working with occasional meetings in Lincolnshire.
- Structured progression to Estimator within 2-3 years.
- Exposure to diverse projects in FM and logistics.
- A supportive team that values learning and development.
Analyst in Stoke-on-Trent employer: Hays
Join a forward-thinking consultancy that values your growth and curiosity as an Analyst in Logistics & FM Support. With fully remote working and occasional meetings in Lincolnshire, you'll enjoy a supportive team culture that prioritises learning and development, alongside structured progression opportunities to advance into an Estimator role within two to three years. Experience diverse projects while benefiting from a competitive salary and a commitment to turning data into impactful decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Analyst in Stoke-on-Trent
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with potential colleagues 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 those interviews! Research common questions for analysts and practice your responses. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your skills effectively.
✨Tip Number 3
Show off your analytical skills! Bring examples of your work to interviews, like dashboards or reports you've created. This will demonstrate your ability to turn data into actionable insights, which is exactly what we’re looking for.
✨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, it shows you’re genuinely interested in joining our team and starting your career in analytics.
We think you need these skills to ace Analyst in Stoke-on-Trent
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Analyst role. Highlight any data analysis, pricing, or finance experience you have, and don’t forget to showcase your strong Excel skills!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your curiosity and passion for turning data into decisions. Mention how you can contribute to our team and why you’re excited about this opportunity.
Showcase Your Skills:If you’ve got experience with tools like Power BI, SQL, or Python, make sure to mention them! We love candidates who are eager to learn and grow, so don’t hold back on sharing your technical skills.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to see your application and get to know you better. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Hays
✨Know Your Numbers
As an Analyst, you'll be working with data all the time, so brush up on your numerical skills. Be prepared to discuss how you've used data in past roles or projects, and think about specific examples where your analysis led to actionable insights.
✨Excel is Your Best Friend
Strong Excel skills are essential for this role, so make sure you can confidently navigate spreadsheets. Familiarise yourself with functions, pivot tables, and data visualisation techniques. You might even want to prepare a mini demo of a project you've worked on using Excel.
✨Show Your Curiosity
This role values curiosity and a willingness to learn. During the interview, ask insightful questions about the company’s projects and how they use data to inform decisions. This shows you're genuinely interested and ready to dive into the role.
✨Prepare for Practical Scenarios
Expect to face practical scenarios or case studies during your interview. Think about how you would approach cleaning and validating data or building cost models. Practising these scenarios beforehand will help you feel more confident and ready to impress.
