Business Intelligence Analyst
Role details
Job location
Tech stack
Job description
Are you a data analyst who loves solving problems, improving reporting, and helping a business scale properly? This is a great opportunity to join a growing FS organisation that's investing in its data function and building out modern data capabilities.
Business Intelligence Analyst
£40,000 * Stockport * Hybrid (2 days in office)
You'll join a small, collaborative BI team where you'll have genuine ownership, variety, and exposure to the full data lifecycle.
The business is in the early stages of building out a more mature data environment, with Snowflake being introduced as a modern data warehousing solution. You'll play a key role in laying the foundations, improving reporting, supporting stakeholders, and helping drive better decisions across the company.
As a Business Intelligence Analyst, you will have end-to-end involvement: understanding current systems, shaping better solutions, and delivering meaningful insights.
There's plenty of variety, lots of incoming requests, and huge potential to help scale a more robust BI function.
Role & Responsibilities:
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Write high-quality SQL and work across multiple datasets
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Build and maintain/improve reporting & dashboards (Power BI)
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Support the development of the Snowflake data warehouse
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Collect, clean and validate data from multiple sources
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Build automated data pipelines and support ETL processes
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Analyse performance, trends and business metrics, producing actionable insights
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Work with teams across operations, finance and wider business functions
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Understand stakeholder requirements and translate them into effective data solutions
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Provide clear, data-driven recommendations and support decision-making
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Identify efficiencies, build scalable solutions and support the development of a modern BI estate
Requirements
- Strong SQL skills are essential
- Experience with Power BI or similar BI/visualisation tools
- Exposure to cloud data warehouses / large databases (Snowflake is a bonus)
- Understanding of data pipelines, ETL processes and data modelling
- Ability to translate data into meaningful insights
- Comfortable working in a fast-moving environment with varied requests