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# Data Analyst

- **Company:** Talent International
- **Location:** Nottingham, United Kingdom
- **Salary:** £117,000 - £124,800
- **Contract:** Temporary contract
- **Skills:** Microsoft Excel, Data Validation, R (Programming Language), Python (Programming Language), Power BI, SQL Databases, Tableau (Software), Data Processing, Data Management, Data Pipelines
- **Published:** November 11, 2026
- **Apply:** https://www.totaljobs.com/job/data-analyst/talent-international-uk-ltd-job108309886

## About the Role

We are seeking an analytical and detail-oriented Data Analyst to join an established team across one of our Central Government clients., * Proven central government or public sector experience working as a Data Analyst.

 * Hands-on proficiency with modern data manipulation and analysis tools (e.g., SQL, Python, R, or Excel).
 * Experience developing reports and dashboards using BI tools (e.g., Power BI, Tableau, or equivalent).
 * Solid grasp of foundational statistical concepts and research methodologies.
 * Strong written and verbal communication skills, with an ability to tailor insights to diverse audiences.
 * Experience applying rigorous quality control and assurance standards to data pipelines and outputs.

## Description

In this role, you will play a key part in turning complex datasets into clear, actionable insights. You will work closely with stakeholders across the organisation to understand requirements, prepare and interrogate data, and deliver robust statistical reports that inform strategic decision-making., * Data Management: Prepare, clean, and manage large and varied datasets to ensure accuracy and analytical readiness.

 * Analysis and Modelling: Apply appropriate statistical and analytical techniquesworking both autonomously and under supervisionto address core research questions and strategic business priorities.
 * Reporting and Insights: Contribute to the development, delivery, and ongoing enhancement of analytical reports, dashboards, and insight packs.
 * Stakeholder Engagement: Translate and communicate complex data findings clearly to technical and non-technical stakeholders with varying levels of data literacy.
 * Advisory Support: Act as a dependable point of contact to address stakeholder queries regarding analytical methodology, statistical principles, and data interpretations.
 * Quality and Governance: Adhere strictly to analytical quality assurance (QA) frameworks, governance processes, and data validation standards.