1

Operations Research Analyst Jobs in Raleigh, NC (NOW HIRING)

Nuclear System Analysis: Perform nuclear system simulations, experimental facility design, and nuclear data generation to support the safe operation of the PULSTAR nuclear research reactor. Utilize ...

This role is responsible for supervising a team of legal research analysts, managing workflow and research operations, and ensuring that the team consistently delivers high-quality, cost-effective ...

Overview The Sales Operations Analyst plays a critical role in supporting and enabling the sales ... Every day, our work is helping to accelerate research and product development success in the ...

Programmer Analyst IV

Wake Forest, NC · On-site

$38.20 - $57.30/hr

... analysis pipelines, academic applications, and the informatics components of strategic projects ... or operations research required; or, an equivalent combination of education and experience in ...

This individual will help drive project coordination, support technical analysis, facilitate ... operations, research, and vendor teams to support a successful implementation LIMS ADMINISTRATOR ...

next page

Showing results 1-20

Operations Research Analyst information

See Raleigh, NC salary details

$42.3K

$99.6K

$132.2K

How much do operations research analyst jobs pay per year?

As of Jul 6, 2026, the average yearly pay for operations research analyst in Raleigh, NC is $99,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,800.00 and $113,200.00 per year, depending on experience, location, and employer.

What are Operations Research Analysts?

Operations Research Analysts are professionals who use advanced mathematical and analytical methods to help organizations solve problems and make better decisions. They analyze complex systems, gather data, and develop models to improve processes, increase efficiency, and reduce costs. Their work is essential in industries such as manufacturing, logistics, healthcare, finance, and government. By leveraging techniques like statistical analysis, optimization, and simulation, Operations Research Analysts provide actionable insights to support strategic and operational planning.

Is operation research a good career?

Operations Research Analysts apply mathematical modeling and analytical methods to help organizations solve complex problems and improve decision-making. The field offers strong job growth, competitive salaries, and opportunities across industries such as logistics, healthcare, and finance. Success typically requires skills in statistics, programming, and problem-solving, often supported by a relevant degree or certification.

What are the key skills and qualifications needed to thrive as an Operations Research Analyst, and why are they important?

To thrive as an Operations Research Analyst, you need strong analytical, mathematical, and problem-solving skills, typically supported by a degree in operations research, mathematics, engineering, or a related field. Proficiency with statistical analysis software, optimization tools like CPLEX or Gurobi, and programming languages such as Python or R is commonly required. Effective communication, critical thinking, and collaboration skills help translate complex data into actionable recommendations for stakeholders. These abilities are crucial for delivering data-driven solutions that improve organizational efficiency and decision-making.

What are some common challenges Operations Research Analysts face when translating analytical findings into actionable business strategies?

Operations Research Analysts often encounter challenges in communicating complex quantitative findings to stakeholders who may not have technical backgrounds. Bridging the gap between advanced mathematical models and practical business decisions requires strong communication skills and a deep understanding of the organization's objectives. Additionally, analysts may face resistance to change when proposing new, data-driven strategies, so being able to justify recommendations with clear, accessible insights is crucial. Collaborating closely with cross-functional teams helps ensure solutions are both technically sound and aligned with operational realities.

What is the difference between Operations Research Analyst vs Data Analyst?

AspectOperations Research AnalystData Analyst
Required CredentialsBachelor's degree in operations research, mathematics, or related field; often certifications in analytics or optimizationBachelor's degree in statistics, mathematics, or related field; certifications in data analysis or visualization
Work EnvironmentCorporate, government, or consulting firms focusing on optimization and decision-makingBusiness, marketing, finance, or healthcare sectors analyzing data trends
Employer & Industry UsageOrganizations seeking to improve operational efficiency and decision processesCompanies aiming to interpret data for strategic insights and reporting

Operations Research Analysts focus on optimizing complex systems and decision-making processes using mathematical models, while Data Analysts interpret data to identify trends and support business decisions. Both roles require analytical skills and often similar educational backgrounds, but their core functions differ in scope and application.

How much do operations research analysts make in the US?

Operations research analysts in the US earn a median annual salary of around $85,000, with salaries typically ranging from $60,000 to $120,000 depending on experience, education, and location. They often use analytical tools and mathematical modeling to improve organizational efficiency and decision-making.

What Is an Operations Research Analyst?

An operations research analyst works with a company to analyze relevant data to improve business operations. Their primary duties involve setting goals, identifying potential problems, gathering pertinent information, and then using a variety of analytical methods to come up with solutions. The job requires strong analytical skills as well as the ability to think critically. Additional qualifications include a minimum of a bachelor’s degree in operations research or management science, although many employers prefer a master’s degree. Those interested in a career as an operations research analyst must have research experience in an office setting.

What do operations research analysts do?

Operations research analysts use mathematical models, statistical analysis, and optimization techniques to solve complex problems related to logistics, resource allocation, and process efficiency. They analyze data to improve decision-making and often work with specialized software tools. Strong analytical skills and knowledge of programming or modeling languages are essential for this role.

Is a research analyst a good career?

Operations Research Analysts analyze data and develop models to improve decision-making and efficiency in organizations. The role typically requires strong analytical skills, proficiency with software tools like Excel or specialized modeling programs, and often a relevant degree such as operations research, mathematics, or engineering. It is considered a stable career with opportunities for advancement in various industries such as logistics, healthcare, and finance.
What are the most commonly searched types of Operations Research Analyst jobs in Raleigh, NC? The most popular types of Operations Research Analyst jobs in Raleigh, NC are:
What are popular job titles related to Operations Research Analyst jobs in Raleigh, NC? For Operations Research Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Operations Research Analyst jobs in Raleigh, NC look for? The top searched job categories for Operations Research Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Operations Research Analyst jobs? Cities near Raleigh, NC with the most Operations Research Analyst job openings:
Infographic showing various Operations Research Analyst job openings in Raleigh, NC as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $99,601 per year, or $47.9 per hour.
Equity Research Analyst - AI Trainer

Equity Research Analyst - AI Trainer

DataAnnotation

Cary, NC • Remote

$50 - $60/hr

Contractor

Posted 21 days ago


Job description

About the job:

DataAnnotation is committed to creating high-quality AI. Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an opportunity to work with us as an independent contractor.

We're currently expanding into an exciting new area – teaching AI Assistant models to be a more useful tool for finance professionals. We're seeking experienced finance professionals with advanced degrees (MBA+) and professional experience to use their expertise to help shape how AI understands financial principles and decision-making.

In this role, you might:

• Review and improve AI Assistant answers to questions about macro trends, corporate finance, and capital markets

• Leverage your education and work experience to check the reasoning and accuracy of an AI Assistant's work

• Push the models with complex, real-world scenarios and edge cases to see where their reasoning holds up – and where it doesn’t.

• Share clear, structured feedback to help make each new version of the AI smarter and more reliable.

To succeed in this position, you should have expert-level financial reasoning and formal training in a finance-related discipline. A Master’s or PhD (completed or in progress) is strongly preferred. Relevant backgrounds include Financial Accounting, Investment Banking, Corporate Development, Wealth Management, and Insurance Planning.

Advantages of contracting with us:

  • You'll be able to choose which projects you want to work on and when
  • You work on your own schedule, on your own computer, from the comfort of your own home
  • Projects are paid hourly starting at USD $50-$60 per hour, with bonus rates available on some projects

Responsibilities:

  • Give AI chatbots diverse and complex problems and evaluate their outputs
  • Evaluate the quality produced by AI models for correctness and performance

Qualifications:

  • Fluency in English (native or bilingual level)
  • Detail-oriented
  • Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management
  • A current, in progress, or completed Master's and/or PhD is preferred but not required

Note:

Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This is an independent contractor position.

#finance