Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Enhance data visibility and reporting in logistics operations using Power BI.
- Company: Leading logistics provider in Greater London with a focus on innovation.
- Benefits: Competitive compensation, attractive benefits, and a supportive growth environment.
- Why this job: Drive automation and improve data literacy while making a real impact.
- Qualifications: Strong data management skills, proficiency in Power BI and SQL required.
- Other info: Collaborative team atmosphere with opportunities for personal and professional development.
The predicted salary is between 36000 - 60000 £ per year.
A leading logistics provider in Greater London is seeking a Warehouse & Transport Data Analyst to enhance data visibility and reporting in operations. You will drive automation, support data integrity, and collaborate on improving data literacy.
The role requires:
- Strong data management skills
- Proficiency in Power BI and SQL
- A firm understanding of inventory and distribution management
This position offers competitive compensation and attractive benefits, fostering your growth in a supportive environment.
Power BI Driven Warehouse & Transport Data Analyst in London employer: Uniserve Group
Contact Detail:
Uniserve Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Power BI Driven Warehouse & Transport Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the logistics and data analysis field on LinkedIn. Join relevant groups and engage in discussions to get your name out there and learn about potential job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI and SQL projects. This will give you an edge during interviews, as you can demonstrate your expertise in enhancing data visibility and reporting.
✨Tip Number 3
Prepare for those interviews! Research common questions related to data management and logistics. Practise your answers, focusing on how you've driven automation and supported data integrity in past roles.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that might not be found elsewhere. Plus, it shows you're genuinely interested in joining our team and contributing to improving data literacy.
We think you need these skills to ace Power BI Driven Warehouse & Transport Data Analyst in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your data management skills and proficiency in Power BI and SQL in your application. We want to see how you can drive automation and enhance data visibility, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention your experience with inventory and distribution management, as it’s super relevant to what we’re looking for at StudySmarter.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key points stand out without unnecessary fluff.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at Uniserve Group
✨Know Your Data Tools
Make sure you brush up on your Power BI and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools to enhance data visibility or automate reporting. This will show that you not only understand the tools but can also apply them effectively in a logistics context.
✨Understand the Logistics Landscape
Familiarise yourself with the basics of inventory and distribution management. Research the company’s operations and think about how your role as a Warehouse & Transport Data Analyst can contribute to their goals. This knowledge will help you answer questions more confidently and demonstrate your genuine interest in the position.
✨Prepare for Scenario Questions
Expect to face scenario-based questions that assess your problem-solving skills. Think of examples from your past experiences where you improved data integrity or collaborated with teams to enhance data literacy. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly.
✨Show Your Collaborative Spirit
Since the role involves collaboration, be prepared to discuss how you’ve worked with others in previous roles. Highlight any experience you have in cross-functional teams, especially in improving processes or driving automation. This will illustrate your ability to work well in a supportive environment, which is key for this position.
