GWF Ltd is seeking a highly skilled Data Analyst to join its remote team. This role is ideal for professionals with proven experience in dataset creation, metadata management, and data integrity testing. Candidates must demonstrate advanced proficiency in Microsoft Excel and possess a strong analytical mindset to support data-driven decision-making across the business.
This is an exciting opportunity to work with a company renowned for its engineering excellence and commitment to innovation.
About GWF Ltd
Established in 1965, GWF Engineering Ltd is a leading provider of machining and fabrication solutions, serving a diverse range of industries including Steel, Power Generation, Aerospace, Formula 1, and Renewable Energy.
Based in Scunthorpe, North Lincolnshire, the company operates from a 35,000 sq.ft. facility equipped for large-scale projects with craneage up to 40T and machining capabilities up to 5.6m in diameter.
GWF Engineering employs a highly skilled workforce, including coded welders and in-house NDT technicians, and maintains a strong commitment to quality through its ISO 9001:2015 certified Quality Assurance Management System. The company offers both subcontract and design-and-build services, combining tradition with innovation across its operations.
Position: Data Analyst
Salary: £17.16 – £19.63 an hour
Job Type: Full Time
Location: Remote
About the Role
We are seeking a skilled Data Technician to support the development and testing of datasets for a software model focused on water reticulation networks. This role requires expertise in generating metadata, measurements, and ensuring data integrity within a software platform.
Responsibilities
- Create, format, and validate datasets for use in water reticulation software models.
- Generate metadata and measurement parameters for manual entry and bulk upload into the software platform.
- Conduct rigorous testing to ensure data integrity and accuracy.
- Utilize ArcGIS GIS tools for data generation and analysis
Qualifications and Skills
- Proven experience in dataset creation, metadata management, and data integrity testing.
- Advanced proficiency in Microsoft Excel
- Proficiency in ArcGIS GIS for spatial data management and analysis.
- Familiarity with data upload mechanisms, manual data entry, and database integration.
- Ability to work independently and collaboratively within a technical team..
Required Documents
- CV/Resume
- Cover Letter
Application Process
If you’re detail-oriented and ready to take the next step in your data analysis career, APPLY NOW
Application Deadline
May 23, 2025