Data Analyst – SQL, Python, Microsoft Fabric

Job Description

The role

• Rebuilding and modernising data pipelines as part of a move to Microsoft Fabric
• Designing and maintaining data models aligned to reporting (star schema, dimensional models)
• Creating structured, reusable datasets for Power BI
• Working with business teams to translate requirements into usable data solutions
• Handling data transformation and wrangling using SQL and Python
• Improving performance and reliability of existing pipelines
• Implementing data quality checks and validation processes
• Supporting Power BI datasets and semantic models where needed
• Reducing manual reporting through automation across the Microsoft stack
• Maintaining documentation across pipelines, models, and business logic

What they’re looking for

• Strong SQL, comfortable with complex queries and optimisation
• Solid Python for data transformation and automation
• Experience building and maintaining data pipelines and data models
• Good understanding of how data is structured for reporting and analytics
• Experience working in a cloud environment, ideally Microsoft-led
• Ability to build something scalable rather than working around legacy issues
• Comfortable working directly with stakeholders across the business
• Experience in insurance or financial services helps, but isn’t essential.
• Exposure to Microsoft Fabric or Power BI semantic models is useful, but not required.

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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