Senior Analyst - Healthcare Analytics

McKinsey & Company; Riyadh; On-site; SAR 200,000 - 300,000; Full time

Job summary

A global consulting firm in Saudi Arabia is seeking a Healthcare Analytics Analyst to analyze large datasets and develop data-driven solutions for healthcare clients. The ideal candidate has 3+ years of experience, a degree in data analytics or a related field, and proficiency in Python and machine learning frameworks. This role offers significant opportunities for personal development and the chance to make a real impact in the healthcare sector.

Benefits

Competitive salary

Comprehensive benefits package

Continuous learning opportunities

Qualifications

• 3+ years of professional experience in a relevant field.
• Familiarity with SQL and data querying from relational databases.
• Understanding of electronic health record structures and health data standards.

Responsibilities

• Analyze and model large datasets for healthcare clients.
• Collaborate with data engineers and consulting teams.
• Develop dashboards and ML/AI models using low-code tools and Python.

Skills

Programming in Python

Machine learning frameworks (TensorFlow, PyTorch)

Data visualization tools (Tableau, Power BI, Plotly)

Excellent problem-solving skills

Written and verbal communication in Arabic and English

Education

Degree in computer or data analytics/science

Tools

SQL

Job description

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.

When you join us, you will have :

• Continuous learning : Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
• A voice that matters : From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
• Global community : With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
• World-class benefits : On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

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.

In the Healthcare Team, we act entrepreneurially. Therefore, we are looking for someone motivated to continuously improve the status quo and drive this independently.

As a Healthcare Analytics Analyst, you are expected to have experience handling large datasets, particularly in analysis and modeling. Your daily tasks will include analyzing and modeling large datasets, 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(TensorFlow, PyTorch) and data visualization tools (Tableau, Power BI, Plotly)
• Familiarity with SQL and data querying from relational databases or cloud-based environments
• An interest to dive into healthcare topics; Experience within the Saudi healthcare system is a plus
• Understanding of electronic health record structures, clinical terminologies (ICD, CPT, SNOMED) and health data standards such as HL7 and FHIR
• Experience with omics data (genomic, proteomic, etc)
• Expertise within regulatory compliance (HIPAA, GDPR) and FDA guidelines for software as a medical device (SaMD)
• 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
• Convincing written and verbal communication in Arabic and English