Quantitative Research Manager, Prime Video Planning & Insights Team
Amazon · New York City, NY · Marketing & PR
About this role
Amazon is hiring a manager-level Data Analyst based in New York City, NY. The posting calls out experience with Python, R, Automation, Data Analytics. Compensation is listed at $109,100–$160,000 per year.
- Role
- Data Analyst
- Function
- data engineering
- Level
- manager
- Track
- Individual contributor
- Employment
- Full-time
- Location
- New York City, NY
- Department
- Marketing & PR
- Posted
- May 18, 2026
More roles at Amazon
Job description
from Amazon careersWe're hiring a Prime Video Quantitative Market Research Manager to bring deep expertise to a team at the center of PV's audience strategy and growth. The ideal candidate has a strong foundation in advanced statistics and quantitative methodologies and can design and execute high-impact analyses across large-scale datasets. You will work across Business, Programming, Marketing, and Product teams to translate complex business questions into rigorous research designs that deliver answers that move the business forward. Key job responsibilities Drive Quantitative Research: Lead complex quantitative research initiatives, diving deep on priority areas with rigor and methodological depth, while staying curious and engaged across the full research landscape to increase the team's total research output. Advanced Statistical Analysis: Apply sophisticated quantitative methods including segmentation analysis, discrete choice modeling, conjoint analysis, MaxDiff TURF, structural equation modeling, and regression analysis to solve difficult business problems. Customer Segmentation Expertise: Develop and refine audience segmentation frameworks that identify priority growth cohorts, understand customer motivations, and enable targeted content and marketing strategies Large-Scale Data Analysis: Analyze large-scale behavioral datasets combined with survey and voice of customer data to deliver comprehensive insights AI-Powered Research Scalable Infrastructure: Partner with technical teams to scope, pilot, and adopt AI tools and…