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- Tasks: Analyse health data to support innovative projects and improve clinical effectiveness.
- Company: Join Lewisham and Greenwich NHS Trust, a leader in population health management.
- Benefits: Enjoy a supportive work culture, opportunities for growth, and a focus on equality and diversity.
- Why this job: Make a real impact on community health while developing your data science skills.
- Qualifications: Experience with data analysis, strong programming skills, and excellent communication are essential.
- Other info: Opportunity to work on exciting projects tackling health inequalities and improving patient care.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Population Health Data Analyst role at Lewisham and Greenwich NHS Trust. The Population Health Management (PHM) unit is a system-supported initiative across Lewisham and Greenwich, working collaboratively with local partners. Lewisham Health and Care Partners (LHCP) serve as primary health and care commissioners and providers in Lewisham, while the Healthier Greenwich Partnership (HGP) unites health and care providers in Greenwich. LHCP and HGP are jointly implementing a population health analytics solution, leveraging South East London ICB as their anchor institution. This role will support analytics for both Lewisham and Greenwich.
Providing system-wide leadership, LHCP and HGP drive health and care transformation across both boroughs. A key aspect of this is the Oracle Health Intelligence Data platform, which integrates local health data into a unified system, enabling professionals to better understand population health needs and develop integrated service solutions. An exciting opportunity has arisen for a Population Health Data Analyst to join the Population Health and Care team within Lewisham and Greenwich ICS places. The analyst will play an integral role in the Analytics workstream, supporting innovative projects that drive change and enhance clinical effectiveness.
Lewisham and Greenwich are the only boroughs in South East London with a Population Health Management Information System capable of transforming care. As a programme, we have collaborated on various impactful projects, including:
- Chronic disease management covering hypertension, diabetes (undiagnosed cases, non-diabetic hyperglycemia, gestational diabetes), CKD, atrial fibrillation, and COPD.
- Population health profiling in Lewisham and Greenwich.
- Tackling health inequalities, including Core20PLUS5, prioritizing health checks for vulnerable patients, and a weight management service for Black African and Caribbean communities.
- COVID-19 Vaccination Delivery Group with the London Borough of Lewisham.
- Prevalence of the Vital 5 in collaboration with King’s Health Partners (KHP).
- Quality improvement projects using disease registers to identify at-risk and undiagnosed individuals.
This is an exciting time to join as we expand into data science and predictive modeling to identify those most at risk and drive impact. The successful candidate will support clinicians and commissioners, translating key questions into data queries and producing analytics to inform decisions and improve health outcomes.
Key Skills & Experience
- Experience working with data in acute, primary care, community, public health, mental health, or social care.
- Strong programming/analytical skills (SQL, R/Python, Tableau).
- Excellent communication skills for conveying complex data insights.
- Knowledge of information governance and data ethics.
- Ability to work autonomously and manage workload.
- Experience with EMIS in primary care is an advantage.
Our people are our greatest asset. When we feel supported and happy at work, this positivity reaches those very people we are here for, the patients. Engaged employees perform at their best and our Equality, Diversity & Inclusion (EDI) initiatives contribute to cultivate a culture of engagement. We have four staff networks, a corporate EDI Team and a suite of programmes and events which aim to insert the 5 aspirations:
- Improving representation at senior levels of staff with disabilities, from black, Asian, and ethnic minorities background, identify as LGBTQ+ and women, through improved recruitment and leadership development.
- Widening access (anchor institution) and employability.
- Improving the experience of staff with disability.
- Improving the EDI literacy and confidence of trust staff through training and development.
- Making equalities mainstream.
For further details / informal visits contact: Name: May Rowe-Spencer Job title: Principal Population Health & Care Analyst Email address: Telephone number: 02083333000 Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries Hospitals and Health Care
Population Health Data Analyst employer: Lewishamandgreenwich
Contact Detail:
Lewishamandgreenwich Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Population Health Data Analyst
✨Tip Number 1
Familiarise yourself with the Oracle Health Intelligence Data platform, as it's a key tool for this role. Understanding how it integrates local health data will give you an edge in discussions during interviews.
✨Tip Number 2
Network with professionals in the Population Health Management field, especially those connected to Lewisham and Greenwich NHS Trust. Engaging with current employees can provide insights into the team culture and expectations.
✨Tip Number 3
Brush up on your SQL, R/Python, and Tableau skills, as these are crucial for the analytical tasks you'll be handling. Consider working on a small project or case study to demonstrate your proficiency in these areas.
✨Tip Number 4
Prepare to discuss your experience with data in various health settings, particularly how you've used analytics to drive change. Be ready to share specific examples that highlight your problem-solving skills and impact on health outcomes.
We think you need these skills to ace Population Health Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure to thoroughly read the job description for the Population Health Data Analyst position. Understand the key responsibilities and required skills, such as experience with SQL, R/Python, and Tableau.
Tailor Your CV: Customise your CV to highlight relevant experience in data analysis within health care settings. Emphasise your programming skills and any previous work with population health or similar projects.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the specific needs of Lewisham and Greenwich NHS Trust. Mention your understanding of their initiatives and how your skills can contribute to their goals in population health management.
Highlight Communication Skills: Since excellent communication is crucial for this role, provide examples in your application of how you've effectively conveyed complex data insights to non-technical stakeholders in the past.
How to prepare for a job interview at Lewishamandgreenwich
✨Understand the Role and Its Impact
Before the interview, make sure you thoroughly understand the Population Health Data Analyst role and how it contributes to health outcomes in Lewisham and Greenwich. Familiarise yourself with the key projects mentioned in the job description, such as chronic disease management and tackling health inequalities.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with programming languages like SQL, R, or Python, as well as data visualisation tools like Tableau. Bring examples of past projects where you've used these skills to analyse data and drive decision-making.
✨Communicate Complex Insights Clearly
Since excellent communication skills are crucial for this role, practice explaining complex data insights in a simple and relatable way. Think of examples where you've had to convey technical information to non-technical stakeholders.
✨Demonstrate Your Commitment to EDI
Given the emphasis on Equality, Diversity, and Inclusion (EDI) in the organisation, be ready to discuss how you can contribute to these initiatives. Share any relevant experiences or ideas you have for promoting inclusivity within the workplace.
