Data Analyst
| Posting date: | 12 February 2026 |
|---|---|
| Salary: | £36,500 per year |
| Hours: | Full time |
| Closing date: | 14 March 2026 |
| Location: | Milton Keynes, Buckinghamshire |
| Remote working: | On-site only |
| Company: | GAK ENTERPRISES LTD |
| Job type: | Permanent |
| Job reference: | DA_GAK_02_01_2026 |
Summary
* Gather client requirements, build technical designs and translate complex data into business insights.
• Support Azure migration, enhance scalability and centralize reporting for enterprise clients.
• Build and optimize SQL queries and ETL pipelines for enterprise reporting and BI analysis.
• Automate reconciliation processes and develop parameterized/ad hoc reports for self-service BI.
• Collaborate with clients and QA teams to ensure accuracy, usability, and performance of analytical datasets.
• Implement role-based security and data governance compliance for enterprise reports.
• Develop and optimize stored procedures and queries to support operational and analytical systems.
• Project & Collaboration: Agile (Kanban, SAFe), Jira, stakeholder engagement, requirements gathering, project scoping
• Databases & Data Modeling: T-SQL, SQL Server, DB2, Azure SQL, Data Warehouse architecture
• ETL / Data Pipelines: Informatica PowerCenter, Control-M
• Programming & Tools: VBA (basic), .NET, PowerShell, API testing
• Version Control & CI/CD: GitHub, Tortoise SVN, Continuous Integration methodologies
• Data Governance & Security: Role-based access, encryption, dynamic masking, data quality management
• BI & Reporting: Power BI, SSRS, Microsoft Excel
• Support Azure migration, enhance scalability and centralize reporting for enterprise clients.
• Build and optimize SQL queries and ETL pipelines for enterprise reporting and BI analysis.
• Automate reconciliation processes and develop parameterized/ad hoc reports for self-service BI.
• Collaborate with clients and QA teams to ensure accuracy, usability, and performance of analytical datasets.
• Implement role-based security and data governance compliance for enterprise reports.
• Develop and optimize stored procedures and queries to support operational and analytical systems.
• Project & Collaboration: Agile (Kanban, SAFe), Jira, stakeholder engagement, requirements gathering, project scoping
• Databases & Data Modeling: T-SQL, SQL Server, DB2, Azure SQL, Data Warehouse architecture
• ETL / Data Pipelines: Informatica PowerCenter, Control-M
• Programming & Tools: VBA (basic), .NET, PowerShell, API testing
• Version Control & CI/CD: GitHub, Tortoise SVN, Continuous Integration methodologies
• Data Governance & Security: Role-based access, encryption, dynamic masking, data quality management
• BI & Reporting: Power BI, SSRS, Microsoft Excel