Senior Healthcare Data Analyst — Population Health Management

🏢 ABOUT THE COMPANY

Aetna, a Fortune 125 company, is a leading health insurance provider, serving over 39 million members in the United States and expanding globally. Founded in 1853, we are a people-focused organisation, driven by our mission to help people achieve better health outcomes and improved quality of life. With over $60 billion in revenue, Aetna is a trusted partner for millions of people across the globe. Our commitment to innovation, diversity, equity, and inclusion has earned us recognition as one of the best places to work. We're proud to be a part of the CVS Health family, a leading health solutions company dedicated to making a meaningful difference in the lives of our customers and communities.

🎯 ROLE OVERVIEW

As a Senior Healthcare Data Analyst, you will play a critical role in supporting our Population Health Management (PHM) team. You will work closely with cross-functional stakeholders to develop and maintain analytics solutions that inform data-driven decisions, improve patient outcomes, and enhance the overall value of our services. Reporting directly to the PHM Director, you will have the opportunity to contribute to the design and implementation of analytics programs from concept to delivery. Your expertise will help drive business growth, reduce costs, and improve operational efficiency.

📋 KEY RESPONSIBILITIES

Develop and maintain complex data models, integrating multiple data sources to provide actionable insights to stakeholders.

Collaborate with subject matter experts to design and implement analytical solutions that meet business requirements.

Contribute to the development of data visualisation tools and reports to support reporting, analytics, and business decision-making.

Analyze large datasets to identify trends, patterns, and correlations that inform strategic decisions.

Work with data scientists and engineers to integrate machine learning models into analytics solutions.

Maintain high-quality data documentation, ensuring accurate and efficient data management.

Staying up-to-date with industry trends, emerging technologies, and methodologies to enhance analytics capabilities.

✅ REQUIRED QUALIFICATIONS

Minimum 5 years of experience in data analysis, preferably in a healthcare or insurance setting.

Master's degree in Data Science, Statistics, Mathematics, Computer Science, or related field.

Proven expertise in data visualisation tools (e.g., Tableau, Power BI) and statistical programming languages (e.g., Python, R).

Experience with data mining, machine learning algorithms, and predictive analytics.

Strong understanding of data governance, ethics, and confidentiality principles.

Ability to communicate complex technical concepts to non-technical stakeholders.

⭐ PREFERRED QUALIFICATIONS

Knowledge of population health management principles and analytics.

Experience with cloud-based data platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark).

Familiarity with agile development methodologies and version control tools (e.g., Git).

Certifications in data science, analytics, or related fields (e.g., Certified Data Scientist, Certified Analytics Professional).

💰 WHAT WE OFFER

We offer a competitive salary of £60,000 - £75,000 per annum, depending on experience.

A comprehensive benefits package, including a contributory pension scheme, life insurance, and a range of health and wellbeing initiatives.

Flexible working arrangements, including remote work options and a generous annual leave allowance.

Opportunities for professional growth and development, including training programs, mentorship, and leadership development.

Collaborative and dynamic work environment, with a diverse and inclusive team culture.

👥 ABOUT THE TEAM

Our Population Health Management team is a high-performing group of analytics professionals dedicated to driving business growth, improving patient outcomes, and enhancing the overall value of our services. We work closely with stakeholders across the organisation, leveraging data insights to inform strategic decisions. Our team is passionate about data-driven decision-making and is committed to delivering exceptional results. Recent projects have included the development of predictive models to identify high-risk patients, the design of data visualisation tools to support reporting and analytics, and the implementation of machine learning algorithms to improve operational efficiency.

📨 HOW TO APPLY

If you're passionate about using data to drive business outcomes and improve patient care, we'd love to hear from you. Please submit your application, including your CV and a cover letter outlining your relevant experience and qualifications. We look forward to reviewing your application and discussing this exciting opportunity with you.

📋 Job Details

Job Type	FULL TIME
Location	London, GB
Address	55 Bishopsgate, EC2N 3AS
Salary	GBP 60,000 – 75,000 / year
Industry	General
Company	Aetna
Valid Until	2026-10-13

📨 How to Apply

Submit your updated CV and a brief cover letter to Aetna. Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted within 2 weeks of applying.