4320 Vice President Data Analytics jobs in New Jersey

Data Analyst 2 [209358]

Aquent Talent

all cities, NJ

4 years of experience in supply chain planning, forecasting, analytics, or a related operations-focused role.
A degree in Engineering or Supply Chain, or a related field, is required.
Strong analytical and data modeling skills, with hands-on experience conducting exploratory data analysis and translating insights into recommendations.
Advanced Excel proficiency (pivot tables, complex formulas, data validation) and experience using reporting or data visualization tools.
Solid understanding of supply chain fundamentals, including demand-supply balancing, capacity planning, and operational execution.
Ability to evaluate data sources, assumptions, and analytical outputs, identifying gaps or improvement opportunities in models and analyses.
Strong written and verbal communication skills, with the ability to simplify complex findings for cross-functional stakeholders.
Proven ability to manage multiple priorities independently, meet deadlines, and operate effectively in a fast-paced, execution-driven environment.

Sigmoid

Jersey City, NJ 07097

Genmab

Plainsboro, NJ 08536

MS or PhD in a quantitative discipline (e.g., Data Science, Statistics, Engineering, Economics)
12+ years of experience in advanced analytics or data science
Demonstrated leadership of in-market advanced analytics teams, driving data-driven decision-making across Commercial and/or Medical Affairs
Proven track record of translating analytics into measurable business impact
Strong expertise in data science, marketing analytics, and/or real-world evidence generation
Fluency with real-world datasets (e.g., claims, EHR, lab data)
Experience with customer and patient journey analytics
Proficiency in Python, R, and/or SQL; experience with cloud-based data environments
Experience with commercial data sources (e.g., Rx, claims, payer, formulary, HCP data)
Strong business acumen and ability to influence senior stakeholders
Excellent communication and storytelling skills, with the ability to translate complex analyses into actionable insights
Experience working cross-functionally and managing external partners or consultants
Experience with AI productivity tools
Ability to operate in a fast-paced, agile environment and lead through ambiguity