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- Tasks: Analyse HR data to provide insights and support HR operations with reporting.
- Company: Join a large, complex organisation in Reading with a hybrid work model.
- Benefits: Competitive contract with potential extension and flexible working arrangements.
- Why this job: Make a real impact by transforming workforce data into actionable insights.
- Qualifications: Active SC Clearance and experience with HR data and systems required.
- Other info: Supportive environment with opportunities for veterans and candidates with disabilities.
The predicted salary is between 30000 - 40000 £ per year.
We are currently recruiting for two Data Analysts to support a large, complex organisation in Reading. This role will suit analysts who have experience working with HR data, HR systems, and people metrics, rather than purely digital product or marketing analytics.
The successful candidates will play an important role in analysing workforce data, producing management information, and supporting HR operations teams with data-driven insights and reporting. This is a hybrid role, with approximately 1–2 days per week onsite and the remainder remote.
Key Responsibilities- Analyse HR and workforce data to provide meaningful insights and reporting.
- Produce management information (MI), dashboards, graphs and reports to support operational decision making.
- Track and present metrics, trends, and performance data to internal stakeholders.
- Support quality reviews, audits, and reporting requests within HR operations.
- Work with HR teams to interpret and communicate data clearly to non-technical stakeholders.
- Assist with process improvements and enhancements to HR systems and reporting.
- Handle sensitive and confidential employee data with discretion.
- Active SC Clearance (required).
- Experience working in an HR or HR operations environment, with exposure to HR data and HR systems.
- Experience using HR platforms such as Workday, Oracle, SAP, SuccessFactors, iTrent, or similar.
- Strong analytical capability and confidence working with metrics and workforce data.
- Advanced Excel skills.
- Strong attention to detail and problem-solving ability.
- Ability to present data clearly to non-technical stakeholders.
- Strong planning and organisational skills.
- Experience producing MI reports, graphs, burn-down metrics, and data quality reporting.
- Experience building dashboards (Power BI or similar).
- Experience working in secure, government, or highly regulated environments.
- Understanding of HR policies, processes, and data definitions.
Candidates must hold active SC Security Clearance. Interviews will be conducted via MS Teams. The organisation participates in schemes supporting veterans and candidates with disabilities, and eligible applicants may qualify for a guaranteed interview scheme.
Data Analyst (HR Data) – SC Cleared in Reading employer: GTC Recruitment
Contact Detail:
GTC Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst (HR Data) – SC Cleared in Reading
✨Tip Number 1
Network like a pro! Reach out to current or former employees in the HR data field. They can give you insider info about the company culture and maybe even refer you for the role. Plus, it shows you're genuinely interested!
✨Tip Number 2
Prepare for those interviews! Brush up on your HR data knowledge and be ready to discuss how you've used metrics to drive decisions. We want to see you shine with your analytical skills and confidence!
✨Tip Number 3
Show off your tech skills! If you've worked with HR platforms like Workday or SAP, make sure to highlight that experience. We love seeing candidates who can handle the tools of the trade!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate candidates who are ready to make an impact in HR data analysis.
We think you need these skills to ace Data Analyst (HR Data) – SC Cleared in Reading
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with HR data and systems. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or tools you've used!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about working with HR data and how you can contribute to our team. Keep it concise but impactful!
Showcase Your Analytical Skills: Since this role is all about analysing workforce data, make sure to include examples of how you've successfully interpreted data in the past. We love seeing those analytical capabilities in action!
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!
How to prepare for a job interview at GTC Recruitment
✨Know Your HR Data Inside Out
Make sure you brush up on your knowledge of HR data and systems before the interview. Familiarise yourself with platforms like Workday, Oracle, or SAP, as well as key metrics and trends in workforce data. This will help you speak confidently about your experience and how it relates to the role.
✨Prepare for Technical Questions
Expect questions that dive deep into your analytical skills and experience with data reporting. Be ready to discuss specific examples of MI reports you've produced or dashboards you've built. Practising these scenarios can help you articulate your thought process clearly during the interview.
✨Communicate Clearly with Non-Technical Stakeholders
Since you'll need to present data to non-technical stakeholders, practice explaining complex data insights in simple terms. Think of examples where you've successfully communicated findings to a non-technical audience, as this will demonstrate your ability to bridge the gap between data and decision-making.
✨Showcase Your Attention to Detail
In a role that involves handling sensitive employee data, attention to detail is crucial. Prepare to discuss how you've ensured data accuracy in past roles, and be ready to share any processes you've implemented to maintain high standards in data quality and reporting.