At a Glance
- Tasks: Extract and analyse workforce data to support strategic decisions and organisational change.
- Company: Join a respected organisation driving a high-profile transformation programme.
- Benefits: Competitive salary, hybrid working, and a collaborative environment.
- Other info: 9-month contract with excellent opportunities for professional growth.
- Why this job: Make a real impact by turning complex data into actionable insights.
- Qualifications: Experience in workforce analytics and strong analytical skills required.
The predicted salary is between 40000 - 41000 £ per year.
LHH is partnering with a respected organisation to recruit a Workforce Data Officer for a high-profile transformation programme. This is an exciting opportunity for an experienced data professional with strong HR/workforce analytics expertise to play a key role in delivering critical workforce due diligence and data insight activities. Working closely with senior stakeholders, you will be responsible for extracting, analysing, validating, and presenting complex workforce data to support strategic decision-making and organisational change.
Key Responsibilities
- Extract, analyse, and interpret workforce and HR data from multiple systems.
- Produce high-quality reports, dashboards, insights, and data sets for senior stakeholders.
- Ensure the accuracy, integrity, and confidentiality of sensitive workforce information.
- Conduct data quality audits and identify potential risks or issues.
- Support workforce due diligence activities as part of a major transformation project.
- Translate complex data into meaningful insights and recommendations.
- Collaborate with stakeholders across HR, Finance, Payroll, and wider business functions.
- Provide regular project updates and progress reporting.
About You
- Previous experience in a Workforce Data Analyst, HR Data Analyst, People Analytics, or similar role.
- Strong analytical skills with the ability to extract, manipulate, and interpret complex data.
- Experience working with HR, payroll, or workforce management systems.
- Advanced Excel and reporting capabilities, with experience producing management information and business insights.
- Excellent stakeholder management and communication skills.
- Strong attention to detail and a commitment to data accuracy and governance.
- Experience supporting organisational change, transformation, or large-scale projects would be advantageous.
What's on Offer?
- 9-month fixed-term contract.
- Salary of £40,000 - £41,000.
- Hybrid working with 2 days per week in the office.
- Opportunity to contribute to a high-profile transformation programme.
- Collaborative and supportive working environment.
If you're a data-driven professional who enjoys turning complex workforce information into actionable insight, we'd love to hear from you.
Workforce Data Officer in Brighton employer: LHH
Join a respected organisation in East Sussex as a Workforce Data Officer, where you will be part of a high-profile transformation programme that values your expertise in HR and workforce analytics. Enjoy a collaborative and supportive work culture, with opportunities for professional growth while working hybrid, allowing for a balanced work-life dynamic. With a competitive salary and the chance to make a significant impact on strategic decision-making, this role offers meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Workforce Data Officer in Brighton
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like LHH before they're even advertised!
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Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
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We think you need these skills to ace Workforce Data Officer in Brighton
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at LHH, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to LHH, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab LHH’s attention and show the tangible impact of your work.
How to prepare for a job interview at LHH
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at LHH.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at LHH.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at LHH.
