Data Analyst

Data Analyst

Remote - Leeds (1x day per month in the office)

£40,000-£46,000

They are 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

• 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

• 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