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Quantitative Methods Jobs (NOW HIRING)

Uses quantitative methods to research modeling methodology for the development, refinement and ... parameter updates for risk/reward-based framework. A typical day: * Examines large data sets to ...

Uses quantitative methods to research modeling methodology for the development, refinement and ... parameter updates for risk/reward-based framework. A typical day: * Examines large data sets to ...

Uses quantitative methods to research modeling methodology for the development, refinement and ... parameter updates for risk/reward-based framework. A typical day: * Examines large data sets to ...

Uses quantitative methods to research modeling methodology for the development, refinement and ... parameter updates for risk/reward-based framework. A typical day: * Examines large data sets to ...

Uses quantitative methods to research modeling methodology for the development, refinement and ... parameter updates for risk/reward-based framework. A typical day: * Examines large data sets to ...

Uses quantitative methods to research modeling methodology for the development, refinement and ... parameter updates for risk/reward-based framework. A typical day: * Examines large data sets to ...

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Quantitative Methods information

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$31K

$90.6K

$146K

How much do quantitative methods jobs pay per year?

As of Jun 7, 2026, the average yearly pay for quantitative methods in the United States is $90,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,000.00 and $119,000.00 per year, depending on experience, location, and employer.

What are the most common challenges faced when working in a Quantitative Methods role, and how can new hires prepare to overcome them?

Professionals in Quantitative Methods often encounter challenges such as interpreting complex data sets, ensuring model accuracy, and translating quantitative findings into actionable business insights. It can also be demanding to communicate technical concepts to non-technical stakeholders and to stay updated with evolving analytical tools and methodologies. New hires can prepare by strengthening their statistical programming skills, practicing clear communication, and staying proactive about learning the latest industry software and best practices.

What are quantitative methods?

Quantitative methods refer to research techniques that focus on quantifying data and phenomena. These methods use statistical, mathematical, or computational tools to analyze numerical data, identify patterns, and make predictions. In various fields like finance, social sciences, and data science, quantitative methods are essential for making objective decisions and testing hypotheses. Techniques often include surveys, experiments, and analysis of large datasets.

What are the key skills and qualifications needed to thrive in Quantitative Methods, and why are they important?

To excel in Quantitative Methods, you need a strong background in mathematics, statistics, and data analysis, often supported by at least a bachelor's degree in a quantitative field. Proficiency with statistical software such as R, Python, SAS, or MATLAB, and familiarity with data visualization tools are commonly required. Analytical thinking, attention to detail, and effective communication skills help professionals interpret data and present insights clearly. These skills are critical for making data-driven decisions, solving complex problems, and supporting organizational objectives.

What is the difference between Quantitative Methods vs Data Analyst?

AspectQuantitative MethodsData Analyst
Required CredentialsStatistics, mathematics, data analysis certificationsStatistics, data analysis, business intelligence certifications
Work EnvironmentResearch, modeling, statistical analysis in finance, academia, or consultingData cleaning, visualization, reporting in various industries
Employer & Industry UsageFinancial firms, research institutions, consultingBusiness, marketing, healthcare, tech companies

While Quantitative Methods focus on developing statistical models and mathematical techniques for analysis, Data Analysts primarily interpret data through visualization and reporting to support business decisions. Both roles require strong analytical skills, but Quantitative Methods often involve more advanced statistical modeling and theoretical work, whereas Data Analysts focus on data interpretation and communication.

More about Quantitative Methods jobs
What cities are hiring for Quantitative Methods jobs? Cities with the most Quantitative Methods job openings:
What states have the most Quantitative Methods jobs? States with the most job openings for Quantitative Methods jobs include:
Infographic showing various Quantitative Methods job openings in the United States as of May 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $90,579 per year, or $43.5 per hour.
Quantitative Research Manager, Prime Video Planning & Insights Team

Quantitative Research Manager, Prime Video Planning & Insights Team

Amazon

New York, NY

Full-time

Posted 20 days ago


Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 6,820 frontline employees who took The Breakroom Quiz

7th of 39 rated national retailers


Job 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. .


What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate and computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US