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# Data Analyst

- **Company:** The Workshop Recruitment
- **Location:** Portsmouth, UK
- **Experience:** Starter
- **Salary:** £32,000.0 - £40,000.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Power BI, Tools for Reporting
- **Published:** August 7, 2026
- **Apply:** https://www.reed.co.uk/jobs/data-analyst/57209518

## About the Role

* Demonstrate previous experience working with large and complex datasets.
 * Possess strong practical experience using Power BI.
 * Have a good understanding of ERP systems and their underlying data.
 * Analyse, manage and translate data into meaningful business information.
 * Demonstrate strong numerical and analytical skills.
 * Communicate findings clearly to technical and non-technical stakeholders.
 * Show excellent attention to detail and data accuracy.
 * Ideally have experience within manufacturing, engineering or logistics.

## Description

Are you a Data Analyst with strong Power BI and ERP experience who can turn complex manufacturing data into meaningful business insight?, A well-established specialist electronics manufacturing business in Portsmouth is seeking a Data Analyst to work closely with its senior Production and Engineering teams. You will translate large volumes of ERP data into clear, usable information that supports improvements across manufacturing, engineering and logistics.

As Data Analyst, you will help develop meaningful KPIs, improve visibility of operational performance and identify opportunities to increase efficiency.

Job Responsibilities

 * Extract and analyse information from ERP systems and other data sources.
 * Translate complex datasets into clear and actionable operational insight.
 * Create and maintain Power BI dashboards and management reports.
 * Develop KPIs across manufacturing, engineering and logistics.
 * Identify trends, bottlenecks and opportunities for efficiency improvements.
 * Work with senior stakeholders to understand reporting and data requirements.
 * Maintain data accuracy and consistency across reporting tools.
 * Support continuous improvement through evidence-based analysis.


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