At a Glance
- Tasks: Deliver impactful workforce analytics and modelling projects for strategic decision-making.
- Company: Established organisation shaping workforce policy with a supportive culture.
- Benefits: Competitive salary, flexible hybrid working, and excellent professional development opportunities.
- Other info: Collaborative environment with exposure to high-profile strategic projects.
- Why this job: Make a real-world impact while developing your analytical and stakeholder management skills.
- Qualifications: Advanced Excel skills and experience with large datasets; strong analytical and communication skills.
The predicted salary is between 40000 - 46000 £ per year.
A well-established organisation that provides strategic guidance, research, and workforce insight to employers operating within a large and complex sector. Their work helps shape workforce policy, improve organisational effectiveness, and support evidence-based decision-making. With a collaborative and supportive culture, they offer the chance to work on projects that have meaningful real-world impact while developing your analytical and stakeholder management skills.
You will play a key role in delivering workforce analytics and modelling projects that support strategic decision-making and policy development. Responsibilities include:
- Developing and maintaining analytical models to assess the impact of pay, reward, and workforce initiatives
- Building scenario modelling and forecasting solutions to support business planning
- Analysing large and complex datasets to identify trends, risks, and opportunities
- Producing clear reports and presenting findings to both technical and non-technical audiences
- Translating business and policy questions into analytical solutions
- Managing workforce and pay datasets, ensuring data quality and accuracy
- Partnering with a wide range of stakeholders to provide insight and recommendations
- Supporting survey design, data collection activities, and wider analytical programmes
- Contributing to continuous improvement within the analytics function and supporting less experienced colleagues where required
Your Skills & Experience:
- Advanced Excel skills and strong experience working with large, complex datasets
- Proven ability to develop analytical models and deliver scenario-based analysis
- Strong statistical and quantitative analytical skills
- Excellent communication skills with the ability to explain complex findings clearly
- Experience managing multiple priorities and delivering high-quality work in a fast-paced environment
- Strong stakeholder engagement and relationship-building skills
- Experience using tools such as Python, R, SPSS, Power BI, or similar analytical and visualisation platforms is advantageous
- Exposure to workforce analytics, reward, employment relations, healthcare, or public sector environments would be beneficial
What They Offer:
- Competitive salary and benefits package
- Flexible hybrid working
- Exposure to high-profile strategic projects
- Opportunities to influence organisational decision-making
- Excellent professional development and career progression opportunities
- Supportive and collaborative working environment
If you're interested in a Pay and Workforce Analyst opportunity where you can combine advanced analytics, stakeholder engagement, and strategic impact, apply today to find out more.
Data Analyst in Leeds employer: Harnham - Data & Analytics Recruitment Careers
As a leading consumer retail organisation based in London, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. Our commitment to employee growth is evident through tailored development programmes and the opportunity to lead transformative digital initiatives, all while enjoying a competitive salary and bonus structure. Join us to be part of a forward-thinking team that values your contributions and empowers you to drive meaningful change in a rapidly evolving market.
Contact Details:
Harnham - Data & Analytics Recruitment Careers Recruitment Team
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