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# Business Intelligence Engineer

- **Company:** GreenSquareAccord
- **Location:** Birmingham, UK
- **Contract:** Permanent contract
- **Skills:** Business Analytics Applications, Software Documentation, Extract Transform Load (ETL), Data Warehousing, Dimensional Modeling, Microsoft Data Access Components, Microsoft SQL Server, Power BI, Standard Sql, Azure Data Factory, Data Pipelines
- **Published:** October 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7a1bfc389cc14b8d

## About the Role

You'll be an experienced BI professional with strong technical and stakeholder engagement skills, alongside strong SQL experience.

You'll bring:

 * Experience developing Power BI reports, dashboards and semantic models
 * Strong SQL and Microsoft data platform experience
 * Experience with Azure Data Factory and SQL Server
 * Knowledge of data warehouses and dimensional modelling
 * Experience translating business requirements into technical solutions
 * Understanding of data quality, governance and testing
 * Strong communication skills with technical and non-technical audiences

You'll be proactive, curious and solutions-focused, with a passion for using data to improve services and decision-making.

## Description

Working within our Digital Services Analytics team, you'll combine data from multiple sources to deliver trusted management information for colleagues across the organisation, from operational teams through to Executive and Board level.

You'll work across the Microsoft data platform, developing data pipelines, data warehouse solutions, semantic models and Power BI reporting. You'll also support our self-service analytics capability, helping colleagues confidently access and use trusted data.

What You'll Do

 * Develop Power BI datasets, semantic models, dashboards and reports
 * Build ETL/ELT processes using Azure Data Factory and SQL Server
 * Develop data warehouse solutions and dimensional models
 * Translate business requirements into effective technical solutions
 * Analyse data from multiple sources to deliver meaningful insight
 * Apply data quality, governance, testing and documentation standards
 * Support self-service analytics through trusted datasets and knowledge sharing
 * Work with stakeholders to improve reporting and analytics
 * Identify opportunities to automate and improve our use of data