Why this role
* Join a forward-thinking housing organisation that’s transforming its data and digital landscape.
* Work with modern tools including Microsoft Fabric, Power BI, SQL Server and SSRS, alongside new SaaS-based core systems.
* Get hands-on with upcoming projects around Purview, data science within Fabric, and the integration of structured and unstructured data.
* Clear progression pathways, including funded 13-month development programmes focusing on Data or AI.
* Be part of a genuinely supportive, values-driven team with a strong social purpose.
What you’ll be doing
* Build and maintain Power BI dashboards and reports that deliver clear, actionable insights.
* Design and optimise SQL queries and stored procedures, developing SSRS and Power BI reporting suites.
* Work with the Microsoft Fabric platform to unify data from multiple core systems into robust data models.
* Partner with departments to translate complex requirements into meaningful reporting and analysis.
* Ensure data quality, accuracy and governance across key business systems.
* Support the completion of regulatory and benchmarking returns (e.g. SDR, Housemark).
* Empower users across the business through self-service analytics and training.
What you’ll need
* Experience within the housing sector (essential).
* Strong technical skills across SQL Server, Power BI, and data modelling/DAX.
* Confident communicator able to bridge technical and non-technical teams.
* Proven experience in data migration, validation and performance reporting.
* Solid knowledge of Excel (advanced level).
* A full UK driving licence and ability to commute to offices in Liverpool (hybrid – generally 2 days a week on site).
Desirable experience includes exposure to Microsoft Fabric, Purview, Azure, or systems such as ActiveH, Xledger, TotalMobile or Pentana.
* Salary: £41,080 per annum (slightly higher for exceptional candidates)
* Contract: Permanent, 35 hours per week
* Hybrid working: Typically 2 days a week on site (some flexibility)
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Information Technology
Industries
* Information Services
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