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Tier-1 brand, metro location, popular mid-level data role with broad tooling requirements.
Core data science skills transfer well, though biotech/manufacturing experience is a preferred differentiator.
Explicit 3-5 year requirement, mandatory tooling skills, and US-hours overlap raise filter strictness.
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Lead analysis and interpretation of complex GPS operational data to generate actionable insights and recommendations aligned with GPS priorities.
Design, develop, and maintain data pipelines, statistical models, dashboards, and reports to solve complex GPS business problems efficiently and effectively.
Collaborate with IT and stakeholders to enhance data infrastructure and operationalize analytics, while mentoring junior team members and ensuring adherence to best practices.
Bachelor's or Master's degree in an analytical, engineering, operations research, or scientific discipline.
3-5 years of proven experience in data and analytics roles with direct development experience.
Proficiency with large datasets and tools like R, Python, advanced SQL, Domino, AWS, GitHub, dbt, Tableau, and Power BI.
Work hours must overlap sufficiently with US East Coast standard working hours; onsite or hybrid work model is site-by-design (≥50% onsite) as per role requirements.
Experienced in biopharma or biotech domains with exposure to product development, manufacturing, supply chain, or quality control.
Comfortable working across the full analytics value chain from data pipeline development to operationalizing predictive models and optimization techniques.
Able to translate complex data analyses into clear, actionable business insights for diverse stakeholders including non-technical users.