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Mid-level, generalist analytics role in a metro with a recognized pharma brand and broad skillset requirements.
Role depends on pharmaceutical market access and US healthcare datasets, limiting cross-industry transferability.
Requires explicit 3+ years in pharma GTM/US healthcare datasets plus SQL/Python/R and domain expertise.
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Analyze complex healthcare and market access data sets to generate insights that support US Market Access strategy and drive business growth.
Develop and deliver accurate Market Access reporting, predictive models, dashboards, and presentations to stakeholders, ensuring data infrastructure and analytics tools are efficient and reliable.
Lead projects involving payer, PBM, patient claims and formulary data analysis; mentor junior analysts; and collaborate cross-functionally with Commercial, Analytics, IT, and Operations teams to support decision-making.
Bachelor's degree required; advanced degree preferred in life/physical sciences, applied sciences, computer science, mathematics, data science, or engineering.
At least 3 years of experience in pharmaceutical Field Force Effectiveness, GTM analytics, performance analysis, or territory alignment, preferably within biopharma/pharmaceuticals.
Proficiency with US healthcare datasets and statistical programming tools such as SQL, Python, and R, including experience with AI integration in analytics workflows.
Work Experience Required: 3+ years in related pharmaceutical analytics roles.
Experienced in delivering data-driven insights to senior commercial and market access stakeholders within the US pharmaceutical environment.
Strong operating style involving independent project delivery, stakeholder collaboration, and ability to translate complex data into clear business recommendations.
Technical expertise in advanced analytics, machine learning frameworks, and building scalable analytical workflows within large-scale data environments.