At a Glance
- Tasks: Enhance workforce reporting and analyse performance trends for operational improvements.
- Company: Join Scottish and Southern Electricity Networks, a leader in energy solutions.
- Benefits: Enjoy flexible benefits and a supportive hybrid work environment.
- Other info: Be part of a dynamic team focused on continuous improvement.
- Why this job: Make a real impact by driving improvements in workforce management.
- Qualifications: Experience in workforce management and strong data analysis skills required.
The predicted salary is between 30000 - 40000 € per year.
Scottish and Southern Electricity Networks is seeking a Workforce Management Analyst to join their Business Improvement & Planning team. This role focuses on enhancing workforce reporting and analysing performance trends to drive operational improvements.
The ideal candidate will have WFM experience in a contact centre and strong data analysis skills using tools like Amazon QuickSight. Flexible benefits and a supportive work environment are provided.
Workforce Analytics & Insights Specialist (Hybrid) in Portsmouth employer: Scottish and Southern Electricity Networks
Scottish and Southern Electricity Networks is an excellent employer, offering a dynamic work culture that prioritises employee development and well-being. With flexible benefits and a supportive environment, employees are encouraged to grow their skills in data analysis and workforce management, making this role not only rewarding but also pivotal in driving operational improvements within the organisation.
Contact Detail:
Scottish and Southern Electricity Networks Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Workforce Analytics & Insights Specialist (Hybrid) in Portsmouth
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Scottish and Southern Electricity Networks on LinkedIn. A friendly chat can give us insider info about the company culture and what they really value in candidates.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a presentation that highlights your data analysis projects, especially those using tools like Amazon QuickSight. This will help us demonstrate our expertise and stand out during interviews.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine our responses. Focus on how we can drive operational improvements through workforce analytics, as this is key for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our application to highlight our WFM experience and data analysis skills directly related to the job description.
We think you need these skills to ace Workforce Analytics & Insights Specialist (Hybrid) in Portsmouth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your WFM experience and data analysis skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or tools you've used, like Amazon QuickSight.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the Workforce Analytics & Insights Specialist role and how you can contribute to our Business Improvement & Planning team. Keep it engaging and personal!
Showcase Your Analytical Skills:Since this role focuses on analysing performance trends, make sure to include examples of how you've used data to drive improvements in previous roles. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at Scottish and Southern Electricity Networks
✨Know Your WFM Inside Out
Make sure you brush up on your Workforce Management (WFM) knowledge, especially in a contact centre context. Be ready to discuss specific tools and methodologies you've used, as well as how they’ve helped improve operational efficiency.
✨Show Off Your Data Skills
Since the role requires strong data analysis skills, be prepared to talk about your experience with data analysis tools like Amazon QuickSight. Bring examples of how you've used data to drive insights and improvements in previous roles.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think of past experiences where you identified performance trends and implemented changes. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Emphasise Team Collaboration
This role is part of a team, so highlight your ability to work collaboratively. Share examples of how you've successfully partnered with others to achieve common goals, particularly in a business improvement context.
