Job Description
Business Intelligence Analyst
£40,000 • Stockport • Hybrid (2 days in office)
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.
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:
* Write high‑quality SQL and work across multiple datasets
* Build and maintain/improve reporting & dashboards (Power BI)
* Support the development of the Snowflake data warehouse
* Collect, clean and validate data from multiple sources
* Build automated data pipelines and support ETL processes
* Analyse performance, trends and business metrics, producing actionable insights
* Work with teams across operations, finance and wider business functions
* Understand stakeholder requirements and translate them into effective data solutions
* Provide clear, data‑driven recommendations and support decision‑making
* Identify efficiencies, build scalable solutions and support the development of a modern BI estate
Skills & Experience:
* 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