Population Health Management Analyst

Ribble Recruitment
Bexleyheath, United Kingdom
6 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate
Compensation
£ 65K

Job location

Bexleyheath, United Kingdom

Tech stack

Data analysis
Data Governance
R
Python
SQL Databases
Tools for Reporting

Job description

As a Population Health Management Analyst, you will play a pivotal role in embedding PHM approaches across Bexley Council and the Integrated Care System (ICS). This post bridges public health intelligence with NHS data-driven service planning to help reduce health inequalities and improve outcomes for residents.

You will support segmentation, forecasting, equity audits, and develop dashboards and automated reporting tools, contributing to analytical maturity across Public Health and ICB partners., * Deliver analytical projects such as population segmentation, equity audits, and service redesign insights

  • Translate JSNA and public health insights into actionable PHM intelligence
  • Develop automated dashboards and real-time reporting pipelines
  • Provide epidemiological and analytical expertise to Public Health and NHS partners
  • Join and contribute to workstreams such as frailty and long-term conditions
  • Support data governance, confidentiality, and IG standards
  • Build analytical capacity across the system and support colleagues' development

Requirements

Essential:

  • Strong applied data analysis skills (SQL, R, Python)
  • Experience with clinical datasets, particularly primary care
  • Knowledge of PHM methods: risk stratification, segmentation, impactability modelling
  • Understanding of epidemiological and statistical techniques
  • Ability to design dashboards and reporting systems
  • Excellent communication skills for both technical and non-technical audiences
  • Ability to work independently across organisational boundaries

Desirable:

  • Postgraduate qualification in a numerate, data science, or public health subject
  • Experience in public health intelligence within a public sector setting
  • Working knowledge of equity analysis and forecasting, * Data Analysis
  • Python
  • SQL
  • Health Management
  • PHM method

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