Contribute to Pfizer PGS Operational Excellence strategy applying advanced analytics to improve productivity, digital amplification, and knowledge graph development.
Collaborate cross-functionally to design analytical models that transform raw data into strategic insights for evidence-based decisions.
Partner with OpX leaders to identify high-impact analytics opportunities and support productivity hunting initiatives.
Support digital transformation by leveraging AI to enhance performance and efficiency across the PGS network.
Build ETL pipelines from Snowflake SQL in collaboration with data engineers.
Design and execute predictive models, segmentation algorithms, and causal analyses.
Visualize and translate complex manufacturing and financial data into actionable insights for diverse stakeholders.
Support training and enablement around data literacy and analytics tools.
Requirements
BA/BS in Data Science, Machine Learning, Statistics, Computer Science, or related field with 8+ years of experience.
Solid experience with Python, SQL, and data visualization software.
Strong understanding of manufacturing operations.
Excellent communication and stakeholder engagement skills.
Ability to navigate uncertainty and perform in dynamic environments.
MBA/MS with 7+ years of experience OR PhD/JD with 5+ years of experience (nice-to-have).
Experience building or contributing to graph databases (neo4j, Cypher).
Strong knowledge of SAP and Pfizer financial systems (EPM, HFM, Mosaic).
Exposure to Pfizer digital platforms and analytics ecosystem.
Demonstrated leadership, coaching, and influencing capabilities.
Requires permanent work authorization in the United States.