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# Data Analyst

- **Company:** Harnham
- **Location:** Leeds, UK (Remote available)
- **Salary:** £40,000.0 - £46,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Data Analysis, Big Data, R (Programming Language), SPSS (Software), Python (Programming Language), Power BI
- **Published:** September 8, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-analyst/57319077

## About the Role

* 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

## Description

You will play a key role in delivering workforce analytics and modelling projects that support strategic decision-making and policy development., * 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


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