Office Requirement: 2 days per week, typically Tuesday–Thursday
Contract Type: Permanent
We’re looking for an experienced Analytics Manager to lead a small analytics function within a healthcare data environment. This is the most senior analytics role in the organisation, combining hands‑on reporting, team leadership, and the opportunity to shape how complex healthcare data is used more strategically.
You’ll manage a team of analysts, oversee regular reporting outputs, and help move the organisation beyond standard reporting into deeper insight, benchmarking, case‑mix adjustment, statistical analysis, and outlier identification.
The role is expected to be around 60–70% operational and 30% strategic.
Key Responsibilities
- Lead and develop a small team of analysts.
- Oversee regular healthcare reporting and analytics outputs.
- Build and improve reports and dashboards in Power BI.
- Work with healthcare datasets from the independent sector and NHS.
- Identify opportunities to generate deeper insight from existing and new data sources.
- Support benchmarking, statistical analysis, case‑mix adjustment, and outlier analysis.
- Communicate findings clearly to technical and non‑technical stakeholders.
What We’re Looking For
- Strong analytics experience within an NHS setting – private healthcare is a bonus
- Previous experience leading or managing analysts (career development)
- Strong Power BI experience is a must.
- Good understanding of healthcare data, reporting, and insight generation.
- Ability to turn data into meaningful recommendations, not just reports.
- Strong communication skills and an inquisitive mindset.
- Experience with Python or statistical analysis would be highly beneficial.
Interview Process
The process is expected to involve two stages: a first-stage panel interview, followed by a second-stage in-person panel interview, potentially including a case study or example of relevant analytical work.
This is a strong opportunity for a healthcare analytics professional to take ownership of an established function, develop a team, and influence how data is used to generate more meaningful insight.
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