Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse HR data to deliver actionable insights and support strategic initiatives.
- Company: Join a leading global professional services business with a collaborative culture.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Why this job: Make a real impact by transforming complex data into clear insights for decision-making.
- Qualifications: Experience in HR analytics and proficiency in data visualisation tools like Power BI.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
The predicted salary is between 39000 - 52000 £ per year.
Macmillan Davies are working on behalf of a leading global professional services business who are looking to attract a HR Data & Insights Analyst. This role will function to deliver accurate and comprehensive data analysis.
Responsibilities
- Ensure HR data accuracy, consistency, and integrity through regular audits and strong data governance practices.
- Collect, manage, and safeguard HR data from multiple sources in line with data protection.
- Analyse workforce data to identify trends, risks, and opportunities, delivering clear, actionable insights to HR and leadership teams.
- Design, develop, and maintain HR dashboards and reports that translate complex data.
- Support strategic HR initiatives with data-driven insights and evidence-based recommendations.
- Partner with HR and senior stakeholders to understand data needs and deliver tailored analytics and solutions.
- Continuously improve HR analytics capabilities by adopting best practices, emerging trends, and reporting tools.
- Lead and contribute to HR projects, embedding data and insights into planning, delivery, and outcomes.
- Build, maintain, and enhance HR databases and Power BI reports, delivering high-quality outputs to deadlines.
- Maintain and enhance existing HR system reports.
Ideal Candidate
- Proven experience in HR analytics, with strong knowledge of HR data and processes.
- Advanced capability in data analysis and visualisation using tools such as Power BI or Tableau, alongside Excel and SQL.
- Experience designing, maintaining, and enhancing dashboards and reporting solutions that deliver actionable insights.
- High attention to detail.
- Confident working with databases, HR information systems, and reporting platforms.
- Excellent communication and presentation skills, able to translate complex data into clear, business-focused insights.
- Strong stakeholder and customer-service mindset.
- Ability to work effectively both independently and collaboratively across teams.
- Experience with Workday/similar enterprise HR systems is advantageous.
This role offers a great opportunity to work for an esteemed and growing global business and work within a great and growing team.
Please do send your CV over at your earliest opportunity.
HR Data & Insights Analyst in Manchester employer: Macmillan Davies
Contact Detail:
Macmillan Davies Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HR Data & Insights Analyst in Manchester
✨Tip Number 1
Network like a pro! Reach out to current employees at the company you're eyeing, especially in HR or analytics roles. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your best data analysis projects, especially those using Power BI or SQL. Bring this along to interviews to demonstrate your capabilities and make a lasting impression.
✨Tip Number 3
Be ready to discuss trends! Brush up on current HR analytics trends and be prepared to share your insights during interviews. This shows you're not just a number cruncher but also a strategic thinker.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us. It shows initiative and helps us get to know you better right from the start.
We think you need these skills to ace HR Data & Insights Analyst in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the HR Data & Insights Analyst role. Highlight your experience with data analysis, visualisation tools like Power BI or Tableau, and any relevant HR systems you've worked with. We want to see how your skills match what we're looking for!
Showcase Your Achievements: Don’t just list your responsibilities; show us what you’ve achieved in your previous roles. Use numbers and specific examples to demonstrate how you’ve delivered actionable insights or improved processes. This will help us see the impact you can bring to our team.
Keep It Clear and Concise: When writing your application, clarity is key! Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point, making it easy for us to see your qualifications.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy and ensures your application goes directly to us. Plus, it shows you’re serious about joining our awesome team!
How to prepare for a job interview at Macmillan Davies
✨Know Your Data Inside Out
Make sure you’re well-versed in HR data analysis and the tools mentioned in the job description, like Power BI and SQL. Brush up on your knowledge of data governance practices and be ready to discuss how you ensure data accuracy and integrity.
✨Showcase Your Analytical Skills
Prepare examples of how you've previously identified trends or risks through data analysis. Be ready to explain your thought process and how your insights led to actionable recommendations for HR initiatives.
✨Communicate Clearly
Practice translating complex data into simple, business-focused insights. You might be asked to present a past project or analysis, so think about how you can make your findings relatable and understandable to non-technical stakeholders.
✨Engage with Stakeholders
Demonstrate your ability to partner with HR and senior stakeholders. Think of examples where you’ve tailored analytics solutions to meet specific needs, and be prepared to discuss how you approach collaboration and communication in a team setting.
