Quantitative Research Manager, Prime Video Planning & Insights Team

Description We'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 automated workflows that accelerate insights generation

Stakeholder Partnership:

Work closely with Programming, Marketing, and Product teams to scope research questions, align on methodologies, and translate findings into actionable business recommendations

Ad Hoc:

Support with rapid-turnaround analyses and the day-to-day delivery on Ad hoc insights requests

Insights Communication:

Deliver clear, compelling research narratives that connect the "what" with the "so what" and "now what" for stakeholders including senior leadership About the team The US PV Planning and Audience Insights team serves as PV's strategic and analytical backbone, defining our priority audiences and growth objectives while delivering the customer intelligence, rigorous analytics, and AI-powered solutions that enable the organization to achieve them. You'll join a collaborative research team working alongside data scientists, analysts, and product-tech experts to turn data into direction and strategy into action. Our focus areas include AI tooling & automation, audience infrastructure & insights, and applying these capabilities across PV. Basic Qualifications

• 5+ years of professional non-internship marketing experience
• Knowledge of statistics or other analytical techniques
• Experience in survey design and datasets
• Knowledge of quantitative approaches (e.g., t-tests, regressions, ANOVAs, etc.)
• Experience in customer segmentation, customer behavior analysis, conjoint/trade-off modeling
• Experience with end-to-end project management, or experience in a fast-paced, high-tech company
• Experience in vendor management Preferred Qualifications
• Knowledge of statistical software such as R, Python
• Experience effectively gathering information from multiple data sources
• Experience analyzing data quantitatively and using customer research, data and metrics to back up assumptions, identifying opportunities, and assessing the efficacy of marketing programs
• Experience in the entertainment industry
• MBA, or Master's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants:

Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company's reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Culver City

• 109,100.00
• 160,000.00 USD annually USA, NY, New York
• 120,000.00
• 179,600.

00 USD annually