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# Data Analyst

- **Company:** SPG Resourcing
- **Location:** Bradford, UK
- **Salary:** £45,000.0
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Data Analysis, Business Systems, Cloud Computing, Data Governance, Data Visualization, Database Queries, Power BI, SAP NetWeaver Data Management, Tableau (Software), Enterprise Data Management, Data Management
- **Published:** September 15, 2026
- **Apply:** https://www.collegerecruiter.com/job/2879192319-data-analyst

## About the Role

* Strong analytical and problem-solving skills.

 * Proficiency in data visualisation tools such as Power BI, Tableau, or similar platforms, alongside strong SQL skills.

 * Familiarity with enterprise data systems, analytics platforms, and cloud technologies is desirable.

 * Ability to communicate analytical findings to non-technical audiences.

 * Experience working with operational datasets and business intelligence processes.

 * Knowledge of data governance, data quality, and compliance frameworks.

 * Experience in technology-focused or data-intensive environments is desirable.

## Description

This role focuses on reporting, operational insight generation, and business-facing data interpretation. As a Data Analyst, you will be transforming raw data into actionable insights that drive business decisions. This role focuses on analysing, interpreting, and reporting on structured datasets, ensuring data quality, and supporting strategic initiatives through business intelligence tools and analytics platforms.

Accountabilities and Responsibilities

 * Extract, clean, and analyse structured data from multiple business systems.

 * Develop dashboards and reports using business intelligence, data visualisation, and analytics platforms.

 * Ensure data accuracy and consistency across systems, supporting data quality initiatives.

 * Support business units by translating analytical findings into clear, actionable insights.

 * Contribute to data governance by adhering to data policies and supporting master data processes.

 * Identify opportunities for improving reporting efficiency and implementing automation.


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