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Quantitative Research Manager Jobs in Raleigh, NC

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Assisting in the collection of quantitative and qualitative data through surveys, interviews ... Data Entry and Management: Assisting with data tracking, storage, and cleaning, such as de ...

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Assisting in the collection of quantitative and qualitative data through surveys, interviews ... Data Entry and Management: Assisting with data tracking, storage, and cleaning, such as de ...

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Bachelor's degree in a quantitative field, preferably in Computer Science or a related discipline * 5 years of project management experience in software development * Experience with R&D project ...

Bachelor's degree in a quantitative field, preferably in Computer Science or a related discipline * 5 years of project management experience in software development * Experience with R&D project ...

We are looking for an impact-oriented Product Manager to bridge the gap between complex data and ... Conduct effective qualitative and quantitative research to become the primary advocate for user ...

We are looking for an impact-oriented Product Manager to bridge the gap between complex data and ... Conduct effective qualitative and quantitative research to become the primary advocate for user ...

... quantitative research, data modeling, and/or management consulting work in a data-driven environment * 5-7 years of hands-on experience using data to conclude and presenting to clients and then ...

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Quantitative Research Manager information

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$79.2K

$97.3K

$124.4K

How much do quantitative research manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for quantitative research manager in Raleigh, NC is $97,332.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,900.00 and $100,100.00 per year, depending on experience, location, and employer.

What does a quantitative manager do?

A quantitative research manager oversees the development and implementation of data-driven models and strategies to inform business decisions. They analyze large datasets, use statistical and programming tools like Python or R, and collaborate with teams to optimize processes and outcomes.

What are the key skills and qualifications needed to thrive as a Quantitative Research Manager, and why are they important?

To thrive as a Quantitative Research Manager, you need advanced expertise in statistics, data analysis, research design, and a relevant degree such as in mathematics, statistics, economics, or a related field. Proficiency with statistical software (like R, Python, or SPSS), data visualization tools, and often certifications in analytics or project management are highly valued. Exceptional leadership, strategic thinking, and strong communication skills are crucial for managing teams and presenting findings to stakeholders. These skills and qualities are essential to ensure accurate insights, drive data-informed decisions, and efficiently guide research projects to completion.

How much do PhD quants make?

Quantitative Research Managers with PhDs typically earn between $150,000 and $300,000 annually, depending on experience, firm size, and location. Compensation often includes bonuses and profit-sharing, especially in finance and hedge fund environments where advanced quantitative skills and programming expertise are valued.

What is the highest paying job in research?

In research, senior roles such as Director of Quantitative Research or Chief Data Scientist tend to be the highest paying, often earning six-figure salaries. These positions require advanced statistical skills, experience with data analysis tools, and leadership responsibilities.

Is quantitative research a good career?

Quantitative research is a valuable career for those interested in data analysis, statistical modeling, and decision-making support. It often requires strong skills in mathematics, programming, and software tools like R or Python, and offers opportunities in finance, marketing, and consulting industries. The field provides a structured work environment with potential for advancement and specialization.

How does a Quantitative Research Manager typically collaborate with cross-functional teams within an organization?

As a Quantitative Research Manager, you will frequently collaborate with cross-functional teams such as product development, marketing, data science, and executive leadership. Your role involves interpreting complex data, designing research methodologies, and translating findings into actionable insights. Effective communication is essential, as you'll be tasked with presenting statistical analyses and recommendations to both technical and non-technical stakeholders. This collaboration helps ensure that research initiatives align with broader business objectives and drive informed decision-making.

What does a Quantitative Research Manager do?

A Quantitative Research Manager oversees the design, execution, and analysis of research projects that rely on numerical data. They manage teams of analysts or researchers, ensuring that statistical methods and analytical models are properly applied to generate actionable insights for business or academic purposes. Their responsibilities include developing research methodologies, managing data collection, interpreting results, and presenting findings to stakeholders. They often work closely with other departments to inform strategic decisions using data-driven evidence.

What is the difference between Quantitative Research Manager vs Data Analyst?

AspectQuantitative Research ManagerData Analyst
Required CredentialsBachelor's or Master's in Statistics, Economics, or related field; experience in research methodsBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentResearch teams, corporate or academic settings, focus on designing studiesData-driven departments, focus on data interpretation and reporting
Employer & Industry UsageMarket research firms, finance, consulting, academiaBusiness, marketing, healthcare, technology sectors
Common Search & Comparison IntentUnderstanding roles, responsibilities, and qualificationsComparing data analysis tasks and skills

The main difference is that Quantitative Research Managers oversee research projects, design studies, and lead teams, while Data Analysts focus on analyzing data, creating reports, and supporting decision-making. Both roles require strong analytical skills and familiarity with statistical tools, but the manager role emphasizes leadership and research design.

What are the most commonly searched types of Quantitative Research jobs in Raleigh, NC? The most popular types of Quantitative Research jobs in Raleigh, NC are:
What are popular job titles related to Quantitative Research Manager jobs in Raleigh, NC? For Quantitative Research Manager jobs in Raleigh, NC, the most frequently searched job titles are:
What cities near Raleigh, NC are hiring for Quantitative Research Manager jobs? Cities near Raleigh, NC with the most Quantitative Research Manager job openings:
Entry-Level Research Associate

Entry-Level Research Associate

Horizon Research Inc.

Chapel Hill, NC • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

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Job description

Entry-Level Research Associate

Location: Chapel Hill, NC

Position Type: This is a full-time, hybrid position with some in-office work required.

 

Overview

If you are passionate about STEM education and want to improve educational practice, we have an exciting opportunity for you. Horizon Research, Inc. (HRI), is a small firm located in Chapel Hill, North Carolina, specializing in research and evaluation work related to science, technology, engineering, and mathematics (STEM) education. HRI is currently seeking a motivated, detail-oriented individual to join our team as a full-time, entry-level Research Associate.

Minimum Qualifications

  • Educational Background: A bachelor’s degree in either (1) education with an emphasis in mathematics, science, computer science, or engineering, or (2) a mathematics, science, computer science or engineering-related discipline

·         Experience: Mathematics, science, computer science, or engineering teaching experience in formal or informal settings with students in any grades K­–12

  • Passion for Education: A genuine interest in education and a strong desire to make a positive impact in this field
  • Attention to Detail: Strong organizational skills and attention to detail to ensure accurate data collection and management
  • Analytical Thinking: Ability to think critically and analyze data to derive meaningful insights
  • Communication Skills: Excellent written and oral communication skills
  • Adaptability: Willingness to learn and adapt to new challenges and projects in a dynamic research environment

·         Computer Proficiency: Proficiency with word-processing, spreadsheet, and presentation programs (e.g., Word, Excel, Outlook, PowerPoint, Google Docs, Google Sheets, Google Slides), and video conferencing software (e.g., Zoom, Teams)

  • Work Skills: Balancing assignments on several projects to complete varied tasks on time, working effectively both independently and collaboratively

Preferred Qualifications

·         Formal mathematics, science, computer science, or engineering teaching experience at the elementary, middle, or high school level in the US

·         Experience using generative AI tools such as Copilot, ChatGPT, Claude, and Gemini ethically and productively

 

 

Essential Functions

The Research Associate will engage in a variety of research and evaluation tasks. Specific duties may include:

  1. Communication: Communicating both orally and in writing with research participants, including teachers, administrators, and college/university faculty and students
  2. Instrument Development: Assisting with instrument development, including observation protocols, interview protocols, surveys, and assessment items
  3. Data Collection: Assisting in the collection of quantitative and qualitative data through surveys, interviews, classroom observations, and other methods
  4. Data Entry and Management: Assisting with data tracking, storage, and cleaning, such as de-identifying open-ended survey responses; keeping accurate records of planned, scheduled, and completed data collection; and ensuring data are stored as expected for each project

5.      Data Analysis: Assisting with data analysis, including interview and survey data

  1. Report Writing: Writing data summaries, including summaries of observations, qualitative and/or quantitative survey data, and interviews
  2. Collaboration: Collaborating with team members to ensure smooth project execution and timely delivery of research outcomes

Physical Requirements

The candidate must be able to complete the following physical requirements with or without a reasonable accommodation:

·         Remain in a stationary position (sitting or standing)

·         Consistently operate a computer and other office productivity devices (e.g., copy machine, printer)

·         Communicate effectively, both orally and in writing

·         Travel by car and airplane, including overnight stays (typically 1–3 days in duration), as needed

Hours and Salary

This exempt position will require 40 hours of work per week, usually between 8:30 am and 5:00 pm Monday through Friday. This is a hybrid position with some in-office work required. Occasional work-related travel is required. Salary is dependent upon experience and qualifications.

Timeline

The position will start on September 1 or later (depending on the availability of funding).

Benefits

Benefits currently include paid sick and vacation time, health care coverage, Employee Assistance Program (EAP), basic life insurance, 401K with matching contributions, profit sharing, and retirement planning services.

Additional Information

HRI is an Equal Opportunity Employer and does not discriminate based on race, color, age, sex, religion, national origin, citizenship, marital status, veteran status, sexual orientation, gender identity or expression, disability, genetic information, or any other personal characteristics protected by law.

Candidates of all backgrounds who meet the criteria above are strongly encouraged to apply.

To Apply

Applications must include:

1.      A letter of interest that states the position you are applying for and your available start date

2.      A current résumé or curriculum vitae

These documents should be submitted to Gretchen Newman with the subject line “STEM Education Research Associate Position.” Review of applications will begin immediately and continue on a rolling basis.

Company Description

Horizon Research, Inc. (HRI) is a small private research firm in Chapel Hill, North Carolina. We specialize in research and evaluation related to science, technology, engineering, and mathematics (STEM) education. We currently have over 40 projects, divided between evaluations and research studies and spanning early childhood education through graduate school. Our staff have backgrounds in education, STEM (science, technology, engineering, and mathematics) disciplines, and social science research. HRI is committed to promoting justice, equity, diversity, and inclusion in all our work.