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- Tasks: Manage and improve HR systems while providing insightful data analysis.
- Company: Join a dynamic team in Leeds focused on enhancing employee experience.
- Benefits: Competitive salary, hybrid working, and generous annual leave.
- Other info: Exciting opportunities for career growth and development in a supportive environment.
- Why this job: Make a real impact by driving improvements in HR systems and processes.
- Qualifications: Degree in relevant field or equivalent experience; strong analytical skills required.
The predicted salary is between 32068 - 35036 £ per year.
We are seeking a proactive and detail-oriented HR Data & Systems Analyst to join our team. This role is key to ensuring the effective management, integrity, and development of our HR systems, while providing high-quality data insights to support decision-making across the organisation.
You will play a vital role in maintaining and improving our HR systems, analysing workforce data to identify trends and opportunities, and delivering clear, meaningful reports to stakeholders. You will help drive continuous improvement, enhance the employee experience, and ensure our systems and reporting meet both organisational and statutory requirements.
We offer hybrid working for this role, with a base at our Park Lane Campus, conveniently located just a short walk from the train station.
What You Will Do
- Provide day-to-day administration, maintenance, and user support for the HR system (iTrent).
- Analyse workforce data to identify trends, risks, and opportunities, and present clear, timely reports to stakeholders.
- Ensure data accuracy and integrity within the HR system, including maintaining organisational structures and providing user training.
- Configure and develop system functionality, working with IT, Payroll, and suppliers to resolve issues and improve performance.
- Support system integration, continuous improvement projects, and compliance with statutory and legislative reporting requirements.
About You
- Educated to degree level or equivalent (relevant degree – Computer Science, IT, Business Management) or the ability to demonstrate equivalent experience.
- Strong analytical skills with the ability to interpret data, identify trends, and produce clear, insightful management reports.
- Highly proficient in Microsoft Office and online platforms, particularly Excel and Word.
- Excellent organisational and planning skills, with the ability to manage competing priorities and meet tight deadlines.
- Ability to improve systems and processes, solve complex problems, and maintain a high level of accuracy and attention to detail.
- Strong communication skills, with the confidence to provide training, guidance, and support to colleagues.
Benefits
The group offers a range of excellent benefits, including annual leave: Curriculum and Management: 44 days plus.
HR Data & Systems Analyst, Leeds employer: Luminate Education Group
Contact Detail:
Luminate Education Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HR Data & Systems Analyst, Leeds
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at networking events. Ask them about their experiences and any tips they might have for landing the HR Data & Systems Analyst role.
✨Tip Number 2
Prepare for the interview by practising common questions related to data analysis and HR systems. We recommend using the STAR method to structure your answers, showcasing your skills and experiences effectively.
✨Tip Number 3
Showcase your analytical skills during the interview. Bring examples of how you've used data to drive decisions or improve processes in previous roles. This will demonstrate your fit for the role and your proactive approach.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and contributing to our HR systems.
We think you need these skills to ace HR Data & Systems Analyst, Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the HR Data & Systems Analyst role. Highlight your analytical skills and experience with HR systems, as these are key for us. Use specific examples that demonstrate how you've used data to drive decisions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about this role and how your background makes you a perfect fit. Be sure to mention your experience with data analysis and system improvements.
Showcase Your Skills: We want to see your strong analytical skills in action! Include any relevant projects or experiences where you've interpreted data and produced insightful reports. This will help us understand how you can contribute to our team.
Apply Through Our Website: Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at Luminate Education Group
✨Know Your Data
As an HR Data & Systems Analyst, you'll be working with data daily. Brush up on your analytical skills and be ready to discuss how you've used data to identify trends or solve problems in the past. Bring examples of reports you've created or insights you've provided that made a difference.
✨Familiarise Yourself with iTrent
Since you'll be providing support for the HR system (iTrent), it’s a good idea to familiarise yourself with its functionalities. If you can, explore online resources or tutorials about iTrent before the interview. This shows initiative and a genuine interest in the role.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific situations, like maintaining data integrity or resolving user issues. Think of scenarios from your past experience where you successfully managed similar challenges and be ready to share those stories.
✨Showcase Your Communication Skills
Strong communication is key in this role, especially when training colleagues or presenting reports. Be prepared to demonstrate your ability to explain complex data in simple terms. You might even want to practice explaining a data concept to a friend to ensure you're clear and concise.