At a Glance
- Tasks: Deliver customer-focused data analysis and create insightful Power BI reports.
- Company: Global logistics company with a strong focus on collaboration.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Why this job: Make a real impact in logistics while honing your data analysis skills.
- Qualifications: Strong skills in Microsoft Excel and Power BI; experience in logistics preferred.
- Other info: Dynamic work environment with opportunities to collaborate with diverse stakeholders.
The predicted salary is between 30000 - 40000 £ per year.
A global logistics company is seeking a Data Analyst based in Doncaster to deliver customer-focused data analysis to support local operations. The role includes responsibilities such as:
- Communicating with clients
- Creating Power BI reports
- Providing data insights
- Supporting financial reporting
The ideal candidate should have strong skills in Microsoft Excel and Power BI, with experience in a warehousing or logistics environment. This position offers a chance to work collaboratively with internal and external stakeholders.
On-Site Data Analyst - Logistics & Power BI in Doncaster employer: A.P. Moller - Maersk
Contact Detail:
A.P. Moller - Maersk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land On-Site Data Analyst - Logistics & Power BI in Doncaster
✨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 in getting your foot in the door.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI reports and Excel projects. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analysis questions and scenarios. We recommend practising how you'd explain your insights and findings clearly and concisely.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed, and we love seeing candidates who take that extra step.
We think you need these skills to ace On-Site Data Analyst - Logistics & Power BI in Doncaster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, especially in logistics and Power BI. 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 data analysis and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Show Off Your Excel and Power BI Skills: Since these tools are key for the role, make sure to mention any specific projects where you’ve used Excel and Power BI. We’re looking for real examples of how you’ve turned data into insights that made a difference.
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’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at A.P. Moller - Maersk
✨Know Your Data Tools
Make sure you brush up on your Power BI and Excel skills before the interview. Be ready to discuss specific projects where you've used these tools, as well as any challenges you faced and how you overcame them.
✨Understand the Logistics Landscape
Familiarise yourself with the logistics industry, especially the company’s operations in Doncaster. Knowing key trends and challenges in logistics will help you demonstrate your understanding of the role and how you can contribute.
✨Prepare for Client Communication Scenarios
Since the role involves communicating with clients, think of examples where you've successfully managed client relationships or resolved issues. Practising how you would explain complex data insights in simple terms can also be a game-changer.
✨Showcase Your Collaborative Spirit
This position requires working with various stakeholders, so be prepared to share experiences where teamwork was crucial. Highlight how you’ve collaborated with others to achieve common goals, especially in a data-driven context.