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Business Intelligence Developer - FTC

Job in Doncaster, South Yorkshire, DN1, England, UK
Listing for: Keepmoat Limited
Full Time, Contract position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Business Intelligence, Data Analyst, Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 48000 - 60000 GBP Yearly GBP 48000.00 60000.00 YEAR
Job Description & How to Apply Below
Business Intelligence Developer - 12 Months FTC

Great homes start with great people. At Keepmoat our purpose is clear, we create communities and transform lives. Every year we build thousands of high-quality homes that help more people and families find a place to call their own.

As we continue to grow, we’re looking for talented people who want to do meaningful work, develop their careers and help shape the future of house building.

Project Quanta is a business-led, transformation-driven programme designed to give our teams the processes, tools, data, and efficiencies they need to thrive. By modernising our Ways of Working and COINS ERP system, we will strengthen operational resilience, unlock smarter insights, and create a more seamless experience for our colleagues and our customers.

As part of this project, the Business Intelligence Developer will work closely with the Business Intelligence Manager to deliver and maintain end-to-end business intelligence solutions for Keepmoat. This will cover data ingestion, transformation, modelling and analysis, through to visualisation via reports and dashboards that drive insight and improve decision-making across the organisation.

Duties will include working with stakeholders to identify and develop solutions to business problems and challenges; translating business needs into technical specifications; and hands‑on development of measures, semantic models, reports, and dashboards. Responsibilities will also include administration, maintenance
and optimisation of the Power BI service, championing data quality and governance, and supporting the organisation to adopt and develop AI-enabled analytics (for example, Copilot-assisted development and natural-language insight) in a secure and responsible way.

Key Accountabilities
  • Design, build and maintain Power BI reports and dashboards aligned to business needs and best-practice
    -UX/data visualisation.
  • Develop and maintain data warehouse/lakehouse assets and ETL/ELT pipelines, ensuring robust, scalable and well‑documented data ingestion.
  • Partner with stakeholders to shape requirements, define KPIs and acceptance criteria, and translate business needs into technical specifications and deliverable BI products.
  • Maintain and optimise BI solutions (model performance, refresh reliability, capacity, accessibility), monitoring usage and continuously improving user experience and adoption.
  • Present results to stakeholders using clear data storytelling, articulating trends, insights, assumptions and limitations to drive action.
  • Create and maintain technical documentation (data definitions, lineage, model design, refresh/runbooks) to support supportability and knowledge sharing.
  • Champion data quality, governance and security (including access controls and row-level security), promoting trusted data and consistent KPI definitions.
  • Recognise and adopt best practices in semantic modelling, testing and release management (e.g., Azure Dev Ops), and actively develop knowledge of
  • responsible AI features (e.g., Copilot-assisted development, natural-language Q&A and AI-enabled insights) in line with organisational policies.
Skills,

Experience and Qualifications
  • 3+ years’ proven professional experience in Business Intelligence/Analytics (or a relevant technical field) delivering production reporting/insight solutions end-to-end
  • Strong Power BI experience, including semantic modelling, DAX, Power Query (M), and paginated reporting (SSRS/Power BI)
  • Experience with ETL/ELT and data integration tools and patterns (preferably Informatica), including scheduling, monitoring and error handling
  • Strong knowledge of dimensional modelling (e.g., star schemas) and BI performance techniques
  • Relational database and SQL experience (preferably SQL…
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