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# Data Analyst

- **Company:** Harnham
- **Location:** Northampton, UK
- **Salary:** £46,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Excel, Big Data, Pivot Tables, Macros, Vba Programming Language
- **Published:** September 15, 2026
- **Apply:** https://www.collegerecruiter.com/job/2882076549-data-analyst

## About the Role

The ideal candidate will have the following skills and experience:

 * Advanced Excel skills, including building complex models from scratch.
 * Experience using formulas, Pivot Tables, charts, VBA, and macros.
 * Strong analytical and quantitative problem-solving capability.
 * Experience modelling complex business, workforce, or financial scenarios.
 * The ability to work with large datasets and extract meaningful insights.
 * Excellent written and verbal communication skills.
 * Experience presenting technical information to non-technical stakeholders.
 * Strong stakeholder management and relationship-building skills.
 * A STEM degree, ideally within mathematics, statistics, economics, or a related discipline.
 * The ability to work independently and manage competing priorities.

## Description

The Data Analyst will:

 * Deliver workforce, pay, and reward analysis to support strategic decision-making.
 * Build and maintain complex Excel-based models to forecast workforce and financial outcomes.
 * Develop cost modelling for pay proposals, policy changes, and workforce initiatives.
 * Create scenario analysis and long-term forecasts incorporating variables such as workforce growth, attrition, and inflation.
 * Analyse large and complex datasets to identify trends, risks, and opportunities.
 * Translate business and policy questions into analytical specifications and modelling frameworks.
 * Produce clear reports and recommendations for non-technical audiences.
 * Present findings and analytical insights to senior stakeholders.
 * Collaborate with policy teams and external stakeholders to support evidence-based decisions.
 * Contribute to the ongoing development of analytical methodologies and best practices.


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