Analyst - Health Economic Modeller Decision analytic modelling in healthcare is the discipline that helps answer questions about the long-term value of healthcare interventions. Using quantitative models, we synthesize clinical evidence, cost data and patient related outcomes to inform pricing, reimbursement and access decisions made by payers, health technology assessment bodies, and regulatory authorities across the globe. If you have a strong quantitative background and enjoy building structured quantitative models, working with data and solving complex analytical problems, this role offers an opportunity to apply those skills in a meaningful real-world context, helping patients to access treatments they need. This is an entry-level role with structured training opportunities designed to build technical depth in decision analytic modelling for healthcare and develop subject matter expertise. Within IQVIA's Global Health Economic Modelling Team, you will be provided with comprehensive training in health economic modelling methods, HTA processes and the life sciences industry. The role is based in either Greece, Portugal or South Africa, with flexibility regarding frequency of office and home working. We are looking for proactive individuals with strong quantitative and problem-solving skills who are excited by the prospect of applying analytical modelling to real-world healthcare challenges. You do not need a background in health economic modelling – we are looking for people who naturally approach problems through structured quantitative thinking, are comfortable with numbers and data, and are eager to learn how their technical skills can be applied in a new and impactful domain. Essential qualifications include a BSc or MSc in a quantitative or technical discipline, proficiency in Microsoft Excel and at least one programming or statistical software environment, basic statistical literacy, experience building or working with quantitative models, strong written and verbal communication skills with fluency in English language, self-motivation, tenacity to work through complex analytical tasks, excellent attention to detail, strong time management and organizational skills, and flexibility to work in a fast-paced, multi-project environment.