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- Tasks: Lead a team of analysts to deliver impactful HR data insights.
- Company: Join a leading professional services firm focused on innovation and analytics.
- Benefits: Enjoy a competitive salary, private medical, 25 days holiday, and hybrid working.
- Why this job: Make a real impact on HR decisions in a supportive, forward-thinking environment.
- Qualifications: Experience managing analysts, strong Power BI skills, and excellent communication abilities required.
- Other info: Interview includes a Power BI task and two-stage interview process.
The predicted salary is between 60000 - 70000 £ per year.
A leading professional services firm is looking for an experienced HR Data & Insights Manager to join their growing people analytics team. This is a brand new position introduced in the organisation to build on the existing leadership infrastructure.
This is a hands-on leadership role where you will be managing a small team of analysts, shaping the data strategy, and delivering insights that directly support senior decision-makers. The team has already made big strides in moving from spreadsheets to Power BI, and the business is continuing to invest in innovation; including in-house tech, AI and automation capabilities.
If you’re looking to step into a visible, strategic role where your work will directly influence HR and business decisions, this could be the right fit.
What you’ll be doing:
- Leading and supporting a team of three HR data analysts
- Building dashboards, reports and visualisations in Power BI
- Presenting data-driven insights to senior stakeholders and boards
- Collaborating with the systems team to ensure integrated, accurate reporting
- Driving forward data governance, quality, and continuous improvement
- Acting as the go-to for all things HR data, analytics and insight
What we’re looking for:
- Proven experience managing or mentoring analysts
- Excellent Power BI and Excel skills
- Strong analytical capability and a data-led mindset
- Confident communicator with experience presenting insights to non-technical audiences
- Comfortable working across multiple teams and managing competing priorities
- Solution-focused, curious, and collaborative
Nice to have:
- Experience in HR, legal or professional services
- Familiarity with tools like Workday, PowerApps
- Experience using advanced data analytics tools like R
The offer:
- £60,000–£70,000 salary
- Private medical, 25 days holiday (+ increase with tenure), 5% matched pension
- Manchester or Leeds base, hybrid working (2-3 days per week in-office)
- A forward-thinking, supportive environment with space to grow
Interview process includes: a short Power BI task, two-stage interview.
HR Data and Insights Manager employer: SPG Resourcing
Contact Detail:
SPG Resourcing Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land HR Data and Insights Manager
✨Tip Number 1
Familiarise yourself with Power BI and Excel, as these are crucial tools for the role. Consider taking online courses or tutorials to sharpen your skills, especially in creating dashboards and visualisations, which will be key in your day-to-day tasks.
✨Tip Number 2
Prepare to showcase your analytical capabilities by gathering examples of how you've used data to influence decisions in previous roles. Be ready to discuss specific projects where your insights led to tangible outcomes, as this will demonstrate your value to the team.
✨Tip Number 3
Practice presenting complex data insights in a clear and engaging manner. Since you'll be communicating with non-technical audiences, focus on simplifying your explanations and using storytelling techniques to make your insights relatable and impactful.
✨Tip Number 4
Network with professionals in HR analytics and data management. Join relevant online forums or LinkedIn groups to connect with others in the field, share knowledge, and stay updated on industry trends that could benefit your application and future role.
We think you need these skills to ace HR Data and Insights Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in managing analysts and your proficiency with Power BI and Excel. Use specific examples that demonstrate your analytical capabilities and data-led mindset.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your background aligns with the responsibilities of leading a team and presenting insights to senior stakeholders.
Showcase Relevant Experience: When detailing your work history, focus on experiences that relate to HR data analytics, particularly any roles where you’ve driven data governance or collaborated across teams. Mention any familiarity with tools like Workday or advanced analytics tools like R.
Prepare for the Interview: Since the interview process includes a Power BI task, brush up on your skills with the software. Be ready to discuss your approach to data analysis and how you would present insights to non-technical audiences.
How to prepare for a job interview at SPG Resourcing
✨Showcase Your Power BI Skills
Since the role heavily involves building dashboards and reports in Power BI, be prepared to discuss your experience with the tool. Bring examples of previous projects where you've used Power BI to create impactful visualisations.
✨Prepare for Data Presentation
You'll need to present data-driven insights to senior stakeholders. Practice explaining complex data in simple terms, focusing on how your insights can influence HR and business decisions. Tailor your examples to show your ability to communicate effectively with non-technical audiences.
✨Demonstrate Leadership Experience
As this is a hands-on leadership role, be ready to discuss your experience managing or mentoring analysts. Highlight specific instances where you've led a team to success, particularly in a data-driven environment.
✨Emphasise Collaboration Skills
The job requires working across multiple teams, so illustrate your collaborative approach. Share examples of how you've successfully partnered with other departments to achieve common goals, especially in relation to data governance and quality.
