Power BI Developer

• Take ownership of our existing Power BI reporting suite, reviewing, maintaining, and enhancing performance, usability, and data accuracy.
• Design, develop, and deliver new Power BI reports and dashboards to support evolving business requirements.
• Manage our Power BI Dataflows and transform data using Power Query (M).
• Connect, extract, and combine data from SAP, Planon CAFM, and our enterprise data warehouse using OData and direct integrations.
• Develop clear and accurate financial dashboards to support finance teams and senior leadership.
• Collaborate with stakeholders to understand reporting requirements and translate them into practical, business-focused BI solutions.
• Continuously identify opportunities to improve reporting performance, reliability, and user experience.

Technologies:

• CAFM
• Data Warehouse
• DAX
• ERP
• Support
• Power BI
• Power Query
• SAP
• Business Intelligence, We are recruiting for a full-time Power BI Developer role based in Whiteley on a hybrid working arrangement, typically 2-3 days in the office with flexibility depending on business needs. You will join a mature data environment integrating Planon, SAP, and a central data warehouse, and report to the Head of IT while working closely with finance, operations, and senior leadership teams. We offer a competitive salary, annual salary review, overtime opportunities, 31 days holiday including bank holidays, extensive learning and development opportunities with genuine career progression, an Employee Assistance Programme, Bupa Cash Plan benefits including dental, optical, physiotherapy, and health and wellbeing support, and a company pension scheme.

• Proven hands-on experience with Power BI, including advanced DAX, Power Query (M), Dataflows, and report optimisation.
• Experience working with ERP or CAFM systems such as SAP or Planon, ideally using OData.
• Strong understanding of financial reporting and commercial metrics, including margins, P&L, revenue, and cost analysis.
• Ability to work independently, manage competing priorities, and quickly understand complex existing data models.
• Excellent analytical skills with strong attention to detail and a proactive approach to improving reporting solutions.
• Strong communication skills with the ability to work effectively across technical and non-technical teams.