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- Tasks: Analyse maintenance cost data and create Power BI dashboards to support site operations.
- Company: Join a dynamic recruitment organisation in England with a collaborative spirit.
- Benefits: Earn between £19 and £21 per hour with a full-time role.
- Why this job: Make an impact by optimising maintenance processes and working with diverse teams.
- Qualifications: Strong data skills and experience with SAP R3 and Power BI required.
- Other info: Fast-paced environment with opportunities for growth and learning.
The predicted salary is between 39500 - 43500 £ per year.
A recruitment organization in England is looking for a Maintenance Analyst to support site operations on a 9-month maternity cover. The role involves analyzing maintenance cost data, developing Power BI dashboards, and collaborating with various teams.
Candidates should be self-motivated, have strong data skills, and experience with tools like SAP R3 and Power BI.
This full-time role offers a salary between £19 and £21 per hour, providing a dynamic environment where priorities can shift quickly.
Maintenance Data Analyst - Maternity Cover, Power BI employer: Gi Group
Contact Detail:
Gi Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Maintenance Data Analyst - Maternity Cover, Power BI
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work with Power BI or data analysis. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and any relevant projects. This gives potential employers a taste of what you can do and sets 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 experience with SAP R3 and how you’ve used data to drive decisions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Maintenance Data Analyst - Maternity Cover, Power BI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis and tools like Power BI and SAP R3. We want to see how your skills match the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Maintenance Data Analyst role. Share specific examples of how you've tackled similar challenges in the past.
Show Off Your Data Skills: Since this role involves analysing maintenance cost data, make sure to mention any relevant experience you have. We love candidates who can demonstrate their analytical prowess and how they’ve used data to drive decisions.
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 out on any important updates during the process!
How to prepare for a job interview at Gi Group
✨Know Your Data Tools
Make sure you brush up on your Power BI skills before the interview. Be ready to discuss how you've used it in past roles, and maybe even prepare a mini demo or examples of dashboards you've created. This will show your practical experience and confidence with the tool.
✨Understand Maintenance Cost Analysis
Familiarise yourself with common maintenance cost metrics and how they impact site operations. Being able to discuss specific examples of how you've analysed data to drive decisions will impress the interviewers and demonstrate your analytical mindset.
✨Collaboration is Key
Since the role involves working with various teams, think of examples where you've successfully collaborated with others. Prepare to share how you communicate complex data insights to non-technical team members, as this will highlight your ability to work in a dynamic environment.
✨Be Ready for Quick Changes
Given that priorities can shift quickly in this role, be prepared to discuss how you've adapted to changes in previous positions. Share specific instances where you had to pivot your focus and how you managed to stay productive under pressure.
