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Project Leadership and Engagement

·       Act as the lead point of contact for data and analytics for the allocated service area (Healthier Futures)

·       Build and maintain effective relationships with clinicians, managers, and corporate colleagues to understand and translate business requirements.

·       Lead the development of data and analytics solutions, managing requirements end-to-end.

·       Work with analysts to ensure they have the data needed for operational and strategic reporting.

·       Collaborate with performance teams to ensure BI products support national submissions, compliance with standards, and the Trust’s data quality agenda.

·       Agree development ownership, deliverables, and responsibilities for new solutions with colleagues in BI, Digital Services, and wider teams.

·       Initiate work by profiling data, identifying solutions, presenting options, proof of concepts, and translating service needs into technical terms.

·       Apply Agile delivery methods (Scrum, DevOps) and project management techniques

·       Plan and execute testing (unit, integration, acceptance) to ensure quality and accuracy of all outputs.

Data Warehouse/Date Engineering

·       Support the maintenance and integrity of the Trust’s data warehouse and reporting infrastructure, including monitoring, troubleshooting, and performance tuning.

·       Participate in the out-of-hours rota for monitoring data warehouse processes and troubleshooting issues.

·       Work with the Data Engineering team to design, build, and optimise data models and pipelines for performance and scalability.

·       Validate ETL processes, including during source system software upgrades, to ensure continuity and data integrity.

·       Design and maintain the reporting layer, including dimensional modelling, to support efficient and reusable analytics.

·       Apply expert T-SQL and SQL Server skills for query optimisation and advanced data manipulation.

·       Support the adoption of automation, APIs, and modern data platform techniques.

·       Accountable to the Data Warehouse Manager

Dashboard Development (Power BI) and Analytics

·       Design, develop and maintain advanced dashboards and reporting suites using the Trust’s software (Power BI), adopting all available functionality such as data models, drill-throughs, apps, and self-service features.

·       Apply strong knowledge of DAX and Power Query for data transformation, advanced calculations, and performance optimisation within Power BI.

·       Support and leverage wider technologies, including Microsoft Forms, Power Automate, and Power Platform tools, to enhance efficiency.

·       Incorporate benchmarking and comparative analysis into reports and dashboards.

·       Ensure that BI products are user-centred, accurate, and aligned to Trust standards.

·       Ensure dashboards support the identifying and monitoring of activity to support digital and operational transformation projects.

·       Accountable to the Principal BI Developer

External Engagement & Continuous Improvement

·       Represent the department at internal, regional and other external NHS data and analytics forums.

·       Share best practice across the department and with other NHS trusts, learning from others to improve local approaches.

·       Keep abreast of national NHS data developments, policy changes, and best practice.

·       Ensure that data quality issues are effectively identified, highlighted, and reported through dashboards, validation processes, and automated checks. Work closely with Data Quality Leads and operational teams to ensure issues are understood, prioritised, and corrected at source. Support the development of processes that embed data quality monitoring within routine reporting and governance structures.

·       Contribute to the implementation of advanced analytics methods such as predictive analytics, modelling including AI, Python, and R, to help drive innovation.

The postholder will be line managed by the Principal BI Developer and will work closely with the Data Warehouse Manager and other members of the Data teams.