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- Tasks: Transform data into actionable insights for Facilities Management and Logistics projects.
- Company: Join a supportive consultancy team with a focus on analytics and growth.
- Benefits: Competitive salary, fully remote work, and structured career progression.
- Why this job: Kickstart your analytics career while making a real impact with data.
- Qualifications: Experience in data analysis or finance, strong Excel skills, and a curiosity to learn.
- Other info: Opportunity for rapid growth into an Estimator role within 2-3 years.
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 Plymouth employer: Hays
Contact Detail:
Hays Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analyst in Plymouth
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research common analyst interview questions and practice your answers. We recommend using the STAR method (Situation, Task, Action, Result) to structure your responses and showcase your skills.
✨Tip Number 3
Show off your analytical skills! Bring examples of your work to interviews, like dashboards or reports you've created. This will help demonstrate your ability to turn data into actionable insights, which is key for the Analyst role.
✨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 in Plymouth
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 to ensure your application gets seen by the right people. 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 any relevant experience you have with data analysis, pricing, or finance. Show them how you can turn complex data into actionable insights.
✨Excel is Your Best Friend
Strong Excel skills are essential for this role. Make sure you’re comfortable with functions, pivot tables, and data visualisation. If you can, prepare a few examples of how you've used Excel in past roles or projects to demonstrate your proficiency.
✨Show Your Curiosity
The company values curiosity and a willingness to learn. During the interview, ask insightful questions about their processes, tools like Power BI or SQL, and how they approach data analysis. This shows you're genuinely interested in the role and eager to grow.
✨Highlight Teamwork and Communication
You'll be engaging with suppliers and supporting the bid team, so emphasise your teamwork and communication skills. Share examples of how you've collaborated with others to achieve a common goal, especially in data-related projects.