Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse workforce data and develop insightful dashboards to support HR strategies.
- Company: Join a forward-thinking organisation that values data-driven decision-making.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by transforming data into actionable insights for HR.
- Qualifications: Degree in Data Analytics or related field; experience in HR analytics is a plus.
- Other info: Collaborative environment with a focus on innovation and continuous improvement.
The predicted salary is between 35000 - 45000 £ per year.
We are looking for an analytical and detail-oriented HR Data & Systems Analyst to support our HR function. You will collect, analyse, and interpret workforce data, develop dashboards and reports, and provide actionable insights to inform HR strategy, workforce planning, and evidence-based decision-making. The role also ensures data accuracy, integrity, and governance across HR systems.
Key Responsibilities
- Analyse workforce data on recruitment, attrition, absence, diversity, engagement, and performance.
- Produce insights and reporting to support HR strategy and workforce planning.
- Develop and maintain dashboards and automated reports (Power BI, Excel, etc.).
- Ensure HR data quality, resolve discrepancies, and support governance standards.
- Support HRIS optimisation, system upgrades, and data integration.
- Partner with HR teams to understand reporting needs and present insights clearly.
- Act as HR data and reporting SME, providing guidance and training to colleagues.
- Ensure compliance with GDPR and support audits or regulatory reporting.
Minimum Qualifications
- Degree in Data Analytics, HR, Business Analytics, Statistics, or a related field (or equivalent experience).
- Relevant professional certification in analytics, HR systems, or data management is advantageous.
- Strong experience in HR, people, or business data analytics.
- Ability to analyse complex datasets and produce actionable insights.
- Skilled in reporting and dashboard tools (Power BI, Tableau, Excel).
- Excellent data management, attention to detail, and organisational skills.
- Strong communication skills for non-technical audiences.
- Self-motivated, collaborative, and able to work independently.
Desirable Qualifications
- Experience working with HR Information Systems (e.g., Access People XD, Microsoft Dynamics, Workday, SAP SuccessFactors, Oracle HCM, or similar).
- Knowledge of workforce metrics and HR analytics methodologies.
- Experience with data automation, SQL, or data modelling tools.
- Understanding of workforce planning and people analytics techniques.
HR Data & Systems Analyst in Aberdeen employer: ASCO Group Limited
Contact Detail:
ASCO Group Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HR Data & Systems Analyst in Aberdeen
✨Tip Number 1
Network like a pro! Reach out to your connections in the HR field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a job that’s perfect for you.
✨Tip Number 2
Get your online presence sorted! Make sure your LinkedIn profile is up-to-date and showcases your skills in data analytics and HR systems. Engage with relevant content and connect with industry professionals to boost your visibility.
✨Tip Number 3
Prepare for interviews by practising common questions related to HR data analysis. Be ready to discuss your experience with tools like Power BI and Excel, and how you've used data to drive decisions in past roles.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for you, and applying directly can sometimes give you an edge. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace HR Data & Systems Analyst in Aberdeen
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the HR Data & Systems Analyst role. Highlight your experience with data analytics, reporting tools like Power BI or Excel, and any relevant HR systems you've worked with. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about HR analytics and how your background makes you a great fit for our team. Be sure to mention specific projects or experiences that relate to the job description.
Showcase Your Analytical Skills: In your application, don’t just say you’re analytical—prove it! Include examples of how you've used data to drive decisions or improve processes 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. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at ASCO Group Limited
✨Know Your Data
Make sure you brush up on your knowledge of HR data analytics. Be prepared to discuss how you've previously analysed workforce data and the insights you've derived from it. Familiarise yourself with key metrics like recruitment, attrition, and engagement, as these will likely come up in conversation.
✨Showcase Your Technical Skills
Since the role involves tools like Power BI and Excel, be ready to demonstrate your proficiency. Bring examples of dashboards or reports you've created in the past. If possible, prepare a mini presentation to showcase your skills and how they can benefit the company.
✨Communicate Clearly
Remember, not everyone will be as data-savvy as you are. Practice explaining complex data insights in simple terms. This will show that you can effectively partner with HR teams and present findings to non-technical audiences, which is crucial for this role.
✨Understand Compliance and Governance
Brush up on GDPR and data governance standards relevant to HR. Be prepared to discuss how you ensure data accuracy and integrity in your work. Showing that you understand the importance of compliance will set you apart as a candidate who takes data management seriously.