Senior External Manufacturing Data Analyst
Regeneron
- Location
- RENSS - TECH VALLEY
- Work model
- On-Site
- Level
- Senior
- Posted
- Aug 24, 2026
Skills
About this role
Build our future together: At Regeneron, we use science and innovation to develop life-changing medicines for people with serious diseases. We are seeking to fill an External Manufacturing (EM) Data Analyst role to turn complex data into the insights that keep life-changing medicines moving efficiently from our manufacturing partners to the patients who need them. As part of our newly formed EM Center of Excellence, you’ll dig into real business problems, build the dashboards and analyses leadership relies on, and help shape how the EM network runs. This is a role for someone who thrives on turning ambiguity into clarity — and wants their work to matter. When & where: Location: East Greenbush, New York, United States Work schedule: Monday-Friday, 8am-4:30pm Discover your role: Partner with business leaders and collaborators to gather requirements, document processes, and find opportunities for new business capabilities and process improvements Develop and maintain dashboards and reports (e.g., Tableau, Power BI) that give leadership clear, real-time awareness of EM performance Analyze capacity, performance, and other operational data to support Planning/Scheduling and drive EM strategy, process simplification, and standardization initiatives Conduct root-cause and A3 problem-solving analysis, leading Continuous Improvement and Kaizen events (Process Mapping, Direct Observation, etc.) across the EM organization Monitor and analyze metrics to identify gaps in current processes, improve service levels to internal and external customers, reduce waste, and improve value chain efficiency Support implementation projects end-to-end, including requirements gathering, application and process design, testing, validation, and end-user knowledge transfer Evaluate industry and market trends to identify new business solutions, and review opportunities to develop new products, technologies, and business models Respond to ad hoc data analysis requests from across EM, and assist in developing presentations and EM strategy updates Leverage AI to optimize processes and create efficiencies for workflows This role requires: BS/BA in business, data science, information technology, computer science, engineering, mathematics, statistics or related field, or equivalent combination of education and experience, for each level: Specialist - 2+ years Senior Specialist – 5+ years Level will be determined based on experience Previous experience in product management/project management/ and/or project leadership related activities is preferred A natural problem solver who thrives in a fast-paced, high-pressure environment, prioritizing competing demands and hitting tight deadlines without sacrificing accuracy Quickly learn new business processes and ask the right questions to close knowledge gaps, applying that understanding to guide your analysis Translate ambiguous business questions into clear data requirements — knowing what data to pull, how to structure the analysis, and how to communicate the findings Solid understanding of writing SQL to query relational databases; experience with programming languages such as Python is a plus Expert in Excel and Business Intelligence tools (Tableau and Power BI); familiarity with IT project management tools is a plus Strong situational analysis, decision-making, and process/operations improvement skills, with the ability to work independently against key timelines Exceptional interpersonal and communication skills — written, verbal, and visual — with the confidence to present findings to senior leadership, influence decisions, and drive consensus across the organization Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We are committed to building a workplace with an inclusive culture. Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or