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Tier-1 pharma brand and metro location plus general SQL/Python skills increase competition, though niche payer analytics reduces it.
Core SQL/Python/BI skills are transferable, but payer and pharmaceutical domain experience increases industry specificity.
Explicit degree-based experience bands plus mandatory SQL, Python and BI tool requirements create strict shortlisting filters.
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Develop and maintain dashboards, reports, and analytical outputs using pharmaceutical and commercial data sources.
Conduct managed markets analytics focusing on formulary position, utilization management, payer restrictions, customer segmentation, and access performance.
Partner with global stakeholders to translate business questions into analytical solutions and actionable insights, leveraging AI-enabled tools responsibly.
Proficient in SQL (joins, aggregations, CTEs, window functions) and intermediate Python skills for data analysis and automation.
Experience with BI visualization tools such as Power BI, Tableau, or equivalents; and building data models, KPI frameworks, and business rules.
Master’s degree with 1-3 years, or Bachelor’s with 3-5 years, or Diploma with 7-9 years of relevant experience in analytics, data science, life sciences or related fields.
Work Experience Required: 1 to 9 years depending on qualification (see above).
Experienced in pharmaceutical or healthcare analytics with knowledge of US pharmaceutical ecosystem, including payers, PBMs, IDNs, claims, and reimbursement.
Skilled in handling large, complex datasets related to managed markets and commercial analytics, with a strong data quality mindset.
Comfortable working in dynamic environments, managing multiple priorities, and adopting modern analytics and AI tools to enhance efficiency and insights.