—
Power BI Specialist – NHS Acute Trust Role Overview Power BI Specialist with NHS Acute domain expertise responsible for designing, building, and optimising dashboards and analytics solutions across clinical, operational, and performance datasets. This role sits at the intersection of: • Data platform (often Azure / Fabric / Databricks / SQL) • Clinical systems (EPR, PAS, ED systems) • NHS reporting standards (SITREP, RTT, A&E, etc.) Requirements Core Responsibilities 1. Clinical & Operational Reporting Develop dashboards for: • A&E performance (4-hour target) • RTT pathways • Bed occupancy & patient flow • Theatre utilisation • Elective recovery & waiting lists Translate clinical KPIs into meaningful visualisations for: • Clinicians • Operational managers • Exec boards 2. Data Modelling & Transformation Build robust semantic models (star schema / tabular models) Handle NHS-specific datasets: • CDS (Commissioning Data Sets) • SUS (Secondary Uses Service) • HES (Hospital Episode Statistics) Use DAX + Power Query (M) for transformations and measures 3. Integration with NHS Data Platforms Work with: • EPR systems (e.g. Cerner Millennium, Epic, System C) • Data warehouses (SQL Server, Azure Synapse, Databricks) • FDP / Foundry (in some Trusts) Ensure near real-time or batch reporting pipelines 4. Governance, IG & Compliance Apply: • NHS DSP Toolkit (DSPT) • Role-Based Access Control (RBAC) • Data anonymisation / pseudonymisation Ensure dashboards comply with: • Information Governance (IG) • Caldicott principles 5. Performance & Optimisation Optimise: • Large datasets (millions of patient records) • Incremental refresh • Query folding Tune Power BI Service: • Capacity management • Dataset refresh strategies 6. Stakeholder Engagement Work with: • Clinical leads (Consultants, Matrons) • Operational teams • Trust BI / Analytics teams Translate clinical language → data models → dashboards Required Skills Technical • Power BI (Expert level) • DAX (advanced) • Data modelling (tabular / semantic models) • Power BI Service & governance SQL (advanced) Experience with: • Azure (Synapse / Data Factory / Fabric) • Databricks (nice to have) Understanding of: • Data pipelines (ETL/ELT) • API / integration patterns (optional) NHS Domain Knowledge (Critical) Acute Trust workflows: • Patient pathways (ED → admission → discharge) • Elective vs non-elective care Key metrics: • RTT, A&E 4-hour, LOS, bed occupancy Familiarity with: • NHS data standards & datasets • Clinical coding (ICD-10, OPCS) Soft Skills • Ability to work with clinicians (non-technical stakeholders) • Strong storytelling with data • Experience in board-level reporting Ideal Profile 5–10+ years in BI / analytics 2–5+ years in NHS (preferably Acute Trust) Has delivered: • Trust-wide dashboards • Executive reporting packs Exposure to FDP / Foundry / Fabric is a strong advantage
| Skill | Source | Confidence |
|---|---|---|
| SQL | llm_hard |
100%
|
| Power BI | llm_hard |
100%
|
| KPI Development | llm_hard |
100%
|
| Dashboard Creation | llm_hard |
100%
|
| Report Generation | llm_hard |
100%
|
| Skill | Source | Confidence |
|---|---|---|
| Explaining Complex Ideas Clearly | llm_soft |
100%
|
| Stakeholder Communication | llm_soft |
100%
|
| Storytelling | llm_soft |
100%
|
| Presentation Skills | llm_soft |
80%
|
| Cross-Functional Communication | llm_soft |
80%
|
| Query | Country | Status | Response ms | Created |
|---|---|---|---|---|
| Power BI Specialist – NHS Acute Trust | extracted | 4633 | 2026-03-28 10:42 | |
| Power BI Specialist – NHS Acute Trust | classified | 1320 | 2026-03-28 10:20 | |
| power BI analyst in London, UK | gb | processed | 5069 | 2026-03-28 10:07 |
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"job_description": "Power BI Specialist – NHS Acute Trust\n\nRole Overview\n\nPower BI Specialist with NHS Acute domain expertise responsible for designing, building, and optimising dashboards and analytics solutions across clinical, operational, and performance datasets.\n\nThis role sits at the intersection of:\n• Data platform (often Azure / Fabric / Databricks / SQL)\n• Clinical systems (EPR, PAS, ED systems)\n• NHS reporting standards (SITREP, RTT, A&E, etc.)\n\nRequirements\n\nCore Responsibilities\n\n1. Clinical & Operational Reporting\n\nDevelop dashboards for:\n• A&E performance (4-hour target)\n• RTT pathways\n• Bed occupancy & patient flow\n• Theatre utilisation\n• Elective recovery & waiting lists\n\nTranslate clinical KPIs into meaningful visualisations for:\n• Clinicians\n• Operational managers\n• Exec boards\n\n2. Data Modelling & Transformation\n\nBuild robust semantic models (star schema / tabular models)\n\nHandle NHS-specific datasets:\n• CDS (Commissioning Data Sets)\n• SUS (Secondary Uses Service)\n• HES (Hospital Episode Statistics)\n\nUse DAX + Power Query (M) for transformations and measures\n\n3. Integration with NHS Data Platforms\n\nWork with:\n• EPR systems (e.g. Cerner Millennium, Epic, System C)\n• Data warehouses (SQL Server, Azure Synapse, Databricks)\n• FDP / Foundry (in some Trusts)\n\nEnsure near real-time or batch reporting pipelines\n\n4. Governance, IG & Compliance\n\nApply:\n• NHS DSP Toolkit (DSPT)\n• Role-Based Access Control (RBAC)\n• Data anonymisation / pseudonymisation\n\nEnsure dashboards comply with:\n• Information Governance (IG)\n• Caldicott principles\n\n5. Performance & Optimisation\n\nOptimise:\n• Large datasets (millions of patient records)\n• Incremental refresh\n• Query folding\n\nTune Power BI Service:\n• Capacity management\n• Dataset refresh strategies\n\n6. Stakeholder Engagement\n\nWork with:\n• Clinical leads (Consultants, Matrons)\n• Operational teams\n• Trust BI / Analytics teams\n\nTranslate clinical language → data models → dashboards\n\nRequired Skills\n\nTechnical\n• Power BI (Expert level)\n• DAX (advanced)\n• Data modelling (tabular / semantic models)\n• Power BI Service & governance\n\nSQL (advanced)\n\nExperience with:\n• Azure (Synapse / Data Factory / Fabric)\n• Databricks (nice to have)\n\nUnderstanding of:\n• Data pipelines (ETL/ELT)\n• API / integration patterns (optional)\n\nNHS Domain Knowledge (Critical)\n\nAcute Trust workflows:\n• Patient pathways (ED → admission → discharge)\n• Elective vs non-elective care\n\nKey metrics:\n• RTT, A&E 4-hour, LOS, bed occupancy\n\nFamiliarity with:\n• NHS data standards & datasets\n• Clinical coding (ICD-10, OPCS)\n\nSoft Skills\n• Ability to work with clinicians (non-technical stakeholders)\n• Strong storytelling with data\n• Experience in board-level reporting\n\nIdeal Profile\n\n5–10+ years in BI / analytics\n2–5+ years in NHS (preferably Acute Trust)\n\nHas delivered:\n• Trust-wide dashboards\n• Executive reporting packs\n\nExposure to FDP / Foundry / Fabric is a strong advantage",
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