Senior Analyst - Healthcare Analytics

Senior Analyst - Healthcare Analytics

Join to apply for the Senior Analyst - Healthcare Analytics role at McKinsey & Company
.

Driving lasting impact and building long‑term capabilities with our clients is not easy work. You are the kind of person who thrives in a high‑performance/high‑reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward. In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible.

Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

In the role of a Healthcare Analytics Analyst, you will be part of our consulting teams with a focus on quantitative analyses and AI/ML approaches, continuously developing our portfolio of data‑driven solutions and innovative approaches. You will work closely with our healthcare clients from various sectors such as public bodies, health insurance companies, or providers, utilizing your project management skills and communication with diverse stakeholders.

As a Healthcare Analytics Analyst, you are expected to handle large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large data sets, as well as working closely with our Data Engineers in building and maintaining our proprietary platforms and solutions. You will develop dashboards and ML/AI models, utilizing both low‑code/no‑code tools and Python and visualization tools.

In daily operations, you will collaborate closely with our Data Engineering colleagues, our Knowledge and Insights experts, and our consulting teams to prepare and execute client work. Besides serving clients as part of an engagement, you will be helping to build healthcare assets and knowledge, driving the firm’s proprietary innovation portfolio. We offer challenging tasks in an exceptionally dedicated team with many opportunities for further growth and personal development.

• Successfully completed degree in computer or data analytics/science, ideally combined with biostatistics, bioinformatics or epidemiology
• 3+ years of professional experience in a relevant field (e.g., as a Data Analyst/Scientist, BI, or consulting)
• Solid understanding and application of Programming in Python and/or R
• Experience with machine learning frameworks (Tensor Flow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)
• Familiarity with SQL and data querying from relational databases or cloud‑based environments
• Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR
• Excellent problem‑solving skills, particularly in analytical and quantitative areas
• Strong entrepreneurial mindset with the motivation to continuously improve the status quo and drive this independently
• Willingness and ability to travel to client and McKinsey locations within and outside the country
• Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
• Excellent written and verbal communication in Arabic and English

Mid‑Senior level

Full‑time

Analyst, Health Care Provider, and Information Technology

Hospitals and Health Care

Referrals increase your chances of interviewing at McKinsey & Company by 2x