At a Glance
- Tasks: Analyse data and improve warehouse operations in a fast-paced logistics environment.
- Company: Join a leading global landing gear manufacturing business.
- Benefits: Competitive salary, career growth, and a dynamic work culture.
- Other info: Be part of a transformative journey in logistics and warehousing.
- Why this job: Make a real impact by driving process improvements and supporting major systems projects.
- Qualifications: Experience in data analysis or WMS with a passion for operational excellence.
The predicted salary is between 30000 - 40000 £ per year.
Location: Cheltenham
About the Role
We are seeking a Data Analyst / WMS Specialist to join a fast-paced logistics and warehousing operation supporting a leading global landing gear manufacturing business. This is a key role combining operational data analysis, continuous improvement activities, and support for major systems projects.
The successful candidate will play an important role in analysing warehouse and inventory data, identifying operational improvement opportunities, and supporting the planned implementation of a new Warehouse Management System (WMS) as part of a wider business systems transformation programme scheduled for 2027.
This position would suit either:
- An experienced Data Analyst looking to expand into warehouse systems and logistics projects, or
- A WMS Specialist with implementation or super-user experience who enjoys working with operational data and driving process improvements.
Key Responsibilities
- Data Analysis Reporting
- Develop, maintain and improve operational reports and dashboards.
- Extract, analyse and interpret large datasets from warehouse and inventory management systems.
- Perform data mining and trend analysis to identify opportunities for performance improvement.
- Provide actionable insights to support operational decision-making.
- Monitor KPIs relating to inventory accuracy, productivity, service levels and warehouse performance.
- Support root cause investigations through detailed data analysis.
Data Analyst / WMS Specialist employer: Shorterm Group
Join a dynamic team in Cheltenham where innovation meets opportunity. As a Data Analyst / WMS Specialist, you'll thrive in a collaborative work culture that prioritises employee growth and continuous improvement. With access to cutting-edge projects and a commitment to professional development, this role offers a unique chance to make a significant impact within a leading global manufacturing business.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst / WMS Specialist
✨Tip Number 1
Network like a pro! Reach out to people in the logistics and warehousing industry on LinkedIn. Join relevant groups, engage in discussions, and don’t be shy to ask for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to warehouse management systems. This will give potential employers a taste of what you can bring to the table and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis scenarios and WMS-related questions. Practice articulating how you've used data to drive improvements in past roles. Confidence is key, so let your passion for data shine through!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our careers page for the latest opportunities and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Data Analyst / WMS Specialist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analyst / WMS Specialist role. Highlight relevant experience in data analysis and any work with warehouse management systems. We want to see how your skills match what we're looking for!
Showcase Your Skills:In your application, don’t just list your skills—show us how you've used them! Include specific examples of data analysis projects or improvements you've made in previous roles. This helps us understand your impact.
Be Clear and Concise:When writing your cover letter, keep it clear and to the point. We appreciate straightforward communication, so make sure you get to the heart of why you're a great fit for this position without rambling on.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to track your application better. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Shorterm Group
✨Know Your Data Inside Out
Make sure you’re familiar with data analysis techniques and tools relevant to the role. Brush up on your skills in extracting and interpreting large datasets, as well as any specific software mentioned in the job description. Being able to discuss your previous experiences with data mining and trend analysis will show that you’re ready to hit the ground running.
✨Understand Warehouse Management Systems
If you're coming from a data analyst background, take some time to learn about Warehouse Management Systems (WMS). Familiarise yourself with how they operate and their impact on logistics. If you have experience as a WMS Specialist, be prepared to share specific examples of how you've driven process improvements in past roles.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to inventory accuracy or performance improvement. Think of examples from your past work where you successfully identified issues and implemented solutions. This will demonstrate your analytical thinking and problem-solving skills.
✨Show Your Passion for Continuous Improvement
This role is all about driving operational improvements, so be ready to discuss your approach to continuous improvement. Share any methodologies you’ve used, like Lean or Six Sigma, and how they’ve helped you in previous positions. Showing enthusiasm for optimising processes will resonate well with the interviewers.
