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Tier-1 employer plus an early-mid generalist data role increases competition, though pharma specialization slightly narrows the pool.
Pharma claims datasets, payer ecosystem and IQVIA-specific knowledge reduce cross-industry transferability.
Explicit degree-and-years bands plus SQL/Python requirements create moderately strict shortlisting filters.
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Develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods to analyze large pharmaceutical and payer datasets.
Create and maintain analytics solutions and performance dashboards to track product and portfolio performance against business objectives.
Execute advanced analytics including longitudinal patient-level analysis, time series modeling, and customer segmentation to generate actionable business insights using SQL, Python, and Excel.
Master's degree with 1-3 years in computer science, statistics, or STEM majors with minimum 1 year Information Systems experience OR Bachelor's degree with 3-5 years in these fields with minimum 2 years Information Systems experience.
Experience with pharmaceutical datasets such as medical and pharmacy claims, prescription data, and payer rebate data.
Proficiency in SQL, Python, and Microsoft Excel for data analytics.
Work Experience Required: 1 to 5 years depending on degree as stated above.
Strong foundational understanding of US pharmaceutical ecosystem including claims, prescription, and patient support services data.
Expertise in data visualization tools like Tableau or Power BI and analytic programming languages like Python or R.
Ability to strategically support business decisions by translating complex data into actionable insights and automate workflows using AI technologies.