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For Companies At a Glance
- Tasks: Transform data into insights using Power BI and Excel, develop dashboards, and automate reporting.
- Company: Global logistics company with a focus on innovation and teamwork.
- Benefits: Competitive salary, enhanced annual leave, and health support programmes.
- Why this job: Make a real impact by supporting cost reduction and service enhancements.
- Qualifications: Experience in data analysis and proficiency in Power BI and Excel.
- Other info: Join a dynamic team with opportunities for personal and professional growth.
The predicted salary is between 36000 - 60000 £ per year.
A global logistics company is seeking a Business Analyst to join their team in the United Kingdom. This role involves transforming operational and financial data into actionable insights using Power BI and Excel. The successful candidate will develop dashboards, automate reporting processes, and work closely with various teams to support cost reduction and service enhancements.
The company offers competitive salaries, annual leave enhancement, and health and well-being support programs.
Logistics Data Analyst & Power BI Insights Lead employer: DSV
Contact Detail:
DSV Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Logistics Data Analyst & Power BI Insights Lead
✨Tip Number 1
Network like a pro! Reach out to people in the logistics and data analysis field on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and Excel reports. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by practising common questions related to data analysis and logistics. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your achievements.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Logistics Data Analyst & Power BI Insights Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and tools like Power BI and Excel. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about logistics and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Analytical Skills: In your application, give examples of how you've transformed data into actionable insights in the past. We’re looking for candidates who can demonstrate their analytical prowess and problem-solving abilities.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at DSV
✨Know Your Data Tools
Make sure you brush up on your Power BI and Excel skills before the interview. Be ready to discuss how you've used these tools in past roles to transform data into insights. Having specific examples will show that you can hit the ground running.
✨Understand the Business
Research the logistics industry and the specific company you're interviewing with. Understand their operations, challenges, and how data analytics can drive improvements. This knowledge will help you tailor your answers and demonstrate your genuine interest in the role.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or improve processes. Think about past experiences where you've automated reporting or developed dashboards. Use the STAR method (Situation, Task, Action, Result) to structure your responses clearly.
✨Show Your Team Spirit
Since this role involves working closely with various teams, be prepared to discuss how you collaborate with others. Share examples of successful teamwork and how your insights have supported cost reduction or service enhancements in previous positions.
