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- Tasks: Analyse data to enhance service performance and develop measurement frameworks.
- Company: Global tech consulting firm with a focus on innovation and collaboration.
- Benefits: Hybrid working, mentoring opportunities, and a supportive team environment.
- Why this job: Make a real impact by using data to drive performance improvements.
- Qualifications: Experience in performance analysis and proficiency in Power BI.
- Other info: Join a dynamic team with great career growth potential.
The predicted salary is between 28800 - 48000 £ per year.
A global technology consulting firm is seeking a Performance Analyst in Manchester to develop performance measurement frameworks and analyze service performance. The successful candidate will collaborate with various teams and utilize data to recommend improvements.
Essential skills include:
- Experience in performance analysis
- Proficiency in tools like Power BI
- A strong understanding of agile methodologies
The role offers hybrid working with a focus on collaboration and mentoring within the team.
Data-Driven Performance Analyst (Hybrid, UK) in Manchester employer: Capgemini
Contact Detail:
Capgemini Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data-Driven Performance Analyst (Hybrid, UK) in Manchester
✨Tip Number 1
Network like a pro! Reach out to current or former employees of the company on LinkedIn. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience in performance analysis and tools like Power BI. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Get comfortable with common interview questions related to data analysis and agile methodologies. We can even do mock interviews together to boost our confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive tips and resources available for applicants who apply directly.
We think you need these skills to ace Data-Driven Performance Analyst (Hybrid, UK) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in performance analysis and any relevant tools like Power BI. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data-driven performance analysis and how you can contribute to our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Agile Experience: Since the role involves agile methodologies, make sure to mention any relevant experience you have. We’re keen on seeing how you’ve worked in agile environments and how it’s shaped your approach to performance analysis.
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 follow the prompts!
How to prepare for a job interview at Capgemini
✨Know Your Data Tools
Make sure you brush up on your skills with Power BI and any other data analysis tools mentioned in the job description. Be ready to discuss how you've used these tools in past roles to drive performance improvements.
✨Understand Agile Methodologies
Since the role requires a strong understanding of agile methodologies, be prepared to talk about your experience working in agile environments. Think of specific examples where you contributed to team success through agile practices.
✨Showcase Collaboration Skills
This position emphasises collaboration, so think about times when you've worked effectively with different teams. Prepare to share stories that highlight your ability to communicate and collaborate across departments.
✨Prepare for Performance Metrics Discussion
Familiarise yourself with common performance measurement frameworks. Be ready to discuss how you would develop and implement these frameworks in the context of the company's services, showcasing your analytical mindset.
