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Tier-1 brand plus mid-level generalist data role and likely metro location increases candidate competition.
Core data skills transfer across industries, but biopharma domain knowledge moderately increases fit sensitivity.
Explicit 3-5 year requirement and specific tooling/platform mandates create medium strictness.
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Lead analysis and interpretation of complex GPS (Global Product Supply) data sets to deliver actionable insights aligned with business priorities.
Design, develop, and maintain data pipelines, predictive models, dashboards, and reports for GPS operational analytics and automation.
Collaborate with IT to enhance data infrastructure and mentor junior analysts while ensuring scalable, efficient analytics solutions.
Bachelor's or Master's degree in analytical, engineering, operations research, or scientific discipline.
3-5 years of experience in data science or analytics roles involving direct development experience.
Proficiency in R, Python, advanced SQL, Domino, AWS, GitHub, dbt, Tableau, Power BI, and experience with large datasets.
Ability to work hours overlapping with US East Coast time; onsite/remote work model details: Not explicitly mentioned in the JD.
Experience in biopharma or biotech product development supply chain, manufacturing operations, and quality control preferred for domain relevance.
Strong capabilities in end-to-end analytics solution delivery including partnering with IT for data pipelines and operationalization of analytics.
Ability to translate complex analyses into clear recommendations for business stakeholders and work independently managing projects.