Business Intelligence Engineer

Location: Brindley Place, Birmingham / Hybrid

Salary: £33,400 – £41,800 per annum

Hours: 37 hours per week

Contract: Full-time, Permanent

Turn data into insight at GreenSquareAccord

We’re looking for an experienced Business Intelligence Engineer to develop data and analytics solutions that support better decision-making across GreenSquareAccord.

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

What We Need

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.

What We Offer

• Hybrid working
• 37-hour working week
• Annual leave plus bank holidays
• Defined contribution pension
• Employee Assistance Programme
• Flexible working opportunities

Please note: Successful candidates will be required to complete a DBS check.

If you’re passionate about data and want to turn insight into meaningful impact, we’d love to hear from you.