Data Analyst

Company: Aqualogic (WC) Ltd

Location: Birkenhead

Posted: May 10th, 2026

The following information provides an overview of the skills, qualities, and qualifications needed for this role.

Location: Tower Quays, Birkenhead - Must live within a commutable distance

Salary: £26,000 - £30,000 pa

Extract data from multiple sources and to produce insights for client reporting
Input and process data including audit data and customer data connected to client projects
Cleanse and validate data from multiple pipelines, monitoring data quality and removing corrupt data
Extract data from various platforms and software systems (currently including Microsoft 365 tools, SharePoint, OneDrive, ShareFile, and project-specific platforms such as Snap Surveys and BigChange JobWatch) and check for issues
Create and maintain automated workflows using Microsoft Power Automate to streamline data collection, processing, and reporting
Use the data to forecast trends in relation to client projects
Perform statistical analysis of audit data for client reporting
Use Microsoft Power BI to visualise data in easy-to-understand formats, such as diagrams and graphs
Communicate with stakeholders to understand data content and business requirements
Attend client meetings are required (typically virtually)
Carry out basic administration tasks to support the broader Client Services team as required.

The Data Analyst will support the Project Managers and Client Services Director, and will also liaise directly with our clients.

Experience in data analysis, business intelligence, or data operations role
Working knowledge of databases, BI tools, or data visualisation platforms including Power BI
Working knowledge of automation tools, particularly Microsoft Power Automate, including error handling in automated workflows
Strong analytical mindset with the ability to interpret complex data and present insights clearly.
Good understanding of information management, data quality principles, and system workflows.
Competent with Microsoft 365 especially Excel and other collaborative digital tools.
Ability to balance multiple tasks, prioritise effectively, and meet deadlines.
Strong communication skills, able to translate technical concepts for non‑technical users.
Curious, analytical, and eager to grow technical and sector knowledge.
Strong attention to detail and commitment to accuracy.
Collaborative and approachable, with a user-focused mindset.
Proactive in identifying improvement opportunities and solving problems.
Willingness to learn about industry-specific requirements.

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