Data Analyst

Data Analyst - £370 per day - Inside IR35 - hybrid working 2-3 days a week at a site in Bridgwater - contract until end of 2025.

My client, one of the UKs largest producers of zero carbon energy, is looking for a Data Analyst to join them on a contract basis.

This role will primarily focus on data extraction, analysis, and management to ensure the accuracy and integrity of the Asset Register within the Enterprise Asset Management (EAM) Tool. The successful candidate will play a key role in ensuring that all structures, systems, and components used in the construction process are accurately recorded and maintained.

The Ideal Candidate:

We are looking for an experienced and technically competent Data Analyst with a strong attention to detail and a passion for data integrity. You should have a background in working with large datasets, extracting relevant information, and drawing logical conclusions to support maintenance planning and asset management.

Key Responsibilities

Maintain the accuracy of the Asset Register within the EAM Tool.
Provide clear, meaningful descriptions for assets.
Populate and maintain equipment type, location data, divisions, and system information against assets.
Use Power BI and other tools to extract and analyse data from multiple sources.
Organize and transform information into structured formats, primarily using Excel worksheets.
Populate data load sheets for submission to the System Administrator.
Monitor data quality, identifying and removing corrupt or inaccurate data.
Communicate with stakeholders to understand data requirements and ensure business needs are met.
Develop process documents for end users to enhance understanding and usability of data.
Key Skills & Qualifications:

Strong analytical skills with the ability to manage large datasets and extract meaningful insights.
Excellent attention to detail to ensure data accuracy and integrity.
Strong verbal and written communication skills to effectively engage with stakeholders.
Solid understanding of data sources, data organization, and storage.
Proficiency in Microsoft Office Suite (Excel, Word, PowerPoint).
Experience in Power BI and data analysis techniques.
Ability to create clear and structured process documentation