At a Glance
- Tasks: Analyse data to enhance fleet performance and produce insightful reports.
- Company: Leading UK rail operator focused on improving travel experiences.
- Benefits: Flexible working options, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact on rail travel for thousands of passengers every day.
- Qualifications: Strong data analysis skills and experience with Excel and Power BI.
- Other info: Collaborative environment with hands-on analysis and significant career development potential.
The predicted salary is between 36000 - 60000 £ per year.
A rail operator in the UK is seeking a Data Analyst to enhance fleet performance through data insights. The role involves analyzing trends in technical incidents, producing reports, and collaborating with engineering teams.
Candidates should possess strong data analysis skills, attention to detail, and experience with tools like Excel and Power BI. The work environment promotes collaboration and hands-on analysis, making a significant impact on daily operations. Join us in improving rail travel for thousands of passengers.
Fleet Performance Data Analyst (Remote/Onsite) in Manchester employer: Northern
Contact Detail:
Northern Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Fleet Performance Data Analyst (Remote/Onsite) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the rail industry on LinkedIn. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data analysis projects, especially those using Excel and Power BI. This will help you demonstrate your expertise during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions for data analysts. Think about how you’d explain your approach to analysing trends in technical incidents.
✨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 Fleet Performance Data Analyst (Remote/Onsite) in Manchester
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your data analysis skills in your application. We want to see how you've used tools like Excel and Power BI in past roles, so don’t hold back on those examples!
Be Detail-Oriented: Attention to detail is key for this role. When you write your application, double-check for any typos or errors. We appreciate candidates who take the time to ensure their work is polished and professional.
Collaborate in Your Writing: Since this role involves working with engineering teams, it’s a good idea to mention any collaborative projects you've been part of. We love seeing how you’ve worked with others to achieve great results!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Northern
✨Know Your Data Tools
Make sure you brush up on your skills with Excel and Power BI. Be ready to discuss how you've used these tools in past roles to analyse data and produce reports. Having specific examples will show your expertise and make you stand out.
✨Understand Fleet Performance Metrics
Familiarise yourself with key performance indicators related to fleet operations. Research common technical incidents in the rail industry and think about how data analysis can help improve these areas. This knowledge will demonstrate your genuine interest in the role.
✨Prepare for Collaboration Questions
Since the role involves working closely with engineering teams, be prepared to discuss your experience in collaborative environments. Think of examples where you successfully worked with others to solve problems or enhance processes, as this will highlight your teamwork skills.
✨Show Attention to Detail
As a Data Analyst, attention to detail is crucial. Prepare to discuss how you ensure accuracy in your analyses and reports. You might even want to bring along a sample report or analysis you've done in the past to showcase your meticulous approach.