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Operations Research Analyst Jobs in Atlanta, GA (NOW HIRING)

GAINSystems

Operations Research Engineer

Atlanta, GA · On-site

$66K - $90K/yr

Operations Research Engineer GAINS is on a mission to make supply chains smarter, faster, and self ... Data Analysis: Analyze large datasets to identify trends, patterns, and opportunities for ...

GAINSystems

Operations Research Engineer

Atlanta, GA · On-site

$66K - $90K/yr

Operations Research Engineer GAINS is on a mission to make supply chains smarter, faster, and self ... Data Analysis: Analyze large datasets to identify trends, patterns, and opportunities for ...

GAINSystems

Operations Research Engineer

Atlanta, GA · On-site

$66K - $90K/yr

We are seeking a talented and motivated Operations Research Engineer to join our team. In this role ... Data Analysis: Analyze large datasets to identify trends, patterns, and opportunities for ...

GAINSystems

Operations Research Engineer

Atlanta, GA · On-site

$66K - $90K/yr

We are seeking a talented and motivated Operations Research Engineer to join our team. In this role ... Data Analysis: Analyze large datasets to identify trends, patterns, and opportunities for ...

Holland & Knight

Senior Research Analyst

Atlanta, GA · On-site

$111K - $112K/yr

T h is position can be based in our global operations center in Tampa, FL, or at one of the Firm ... The Senior Research Analyst responds to complex legal, corporate, and industry research requests ...

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All JobsOperations Research Analyst JobsOperations Research Analyst Jobs in Atlanta, GA

Operations Research Analyst information

See Atlanta, GA salary details

$41.3K

$97.3K

$129.1K

How much do operations research analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for operations research analyst in Atlanta, GA is $97,256.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $110,600.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an operations research analyst?

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?

Operations research analysts in New York City typically earn a median annual salary of around $85,000 to $100,000, depending on experience and industry. Salaries can vary based on factors such as education, certifications, and the complexity of projects handled. The role often requires strong analytical skills and proficiency with tools like optimization software and statistical analysis programs.
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Operations Research Analyst jobs near you
Infographic showing various Operations Research Analyst job openings in Atlanta, GA as of August 2026, with employment types broken down into 83% Full Time, 13% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $97,256 per year, or $46.8 per hour.

Operations Research Engineer

GAINSystems

Atlanta, GA • On-site

$66K - $90K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Operations Research Engineer

GAINS is on a mission to make supply chains smarter, faster, and self-improving, powered by AI. Our Decision Engineering & Orchestration (DEO) platform doesn't just support decisions, it drives them by aligning strategy, planning, and execution across every level of the supply chain. We serve inventory-intensive industries where the stakes are high and the complexity is real, helping customers move from reactive, spreadsheet-driven planning to continuously learning, AI-led operations that deliver measurable results fast. At GAINS, we call it Moving Forward Faster, and it's not a tagline, it's how we're redefining what's possible in supply chain decision-making.

Job Summary: We are seeking a talented and motivated Operations Research Engineer to join our team. In this role, you will leverage your expertise in operations research, mathematical modeling, and optimization techniques to design and implement solutions that enhance the efficiency and performance of our supply chain software products. You will work closely with cross-functional teams, including software developers, data scientists, and product managers, to deliver impactful solutions that drive value for our customers.

Key Responsibilities

  • Model Development: Develop, validate, and maintain mathematical models and algorithms for optimizing supply chain operations, including inventory management, demand forecasting, production planning, and logistics.
  • Optimization & Simulation: Design and implement optimization and simulation tools to solve complex supply chain problems, ensuring that solutions are scalable and efficient.
  • Data Analysis: Analyze large datasets to identify trends, patterns, and opportunities for improvement within supply chain processes. Use statistical and machine learning techniques to enhance model accuracy.
  • Software Integration: Collaborate with software developers to integrate models and algorithms into our supply chain software platform, ensuring seamless functionality and performance.
  • Customer Support: Work with the customer support team to troubleshoot and resolve any issues related to optimization models and algorithms used by our clients.
  • Continuous Improvement: Stay updated on the latest advancements in operations research, optimization, and supply chain management. Propose and implement improvements to existing models and processes.
  • Documentation: Prepare detailed technical documentation for models, algorithms, and software modules, ensuring that they are well-documented and easy to understand for internal and external stakeholders.
  • Project Management: Lead or participate in project teams, ensuring that deliverables are met on time and within scope.

Qualifications

  • Education: Master's in Operations Research, Industrial Engineering, Applied Mathematics, or a related field.
  • Experience: 3+ years of experience in operations research, optimization, or a related role, preferably within the supply chain or logistics domain.
  • Technical Skills:
    • Proficiency in mathematical modeling and optimization techniques (e.g., linear programming, integer programming, stochastic modeling).
    • Strong programming skills in languages such as Python, C++, or Java.
    • Experience with optimization solvers (e.g., Gurobi, CPLEX) and simulation tools.
    • Familiarity with supply chain management principles and practices.
  • Analytical Skills: Strong problem-solving abilities with the capacity to analyze complex systems and datasets.
  • Communication Skills: Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
  • Teamwork: Ability to work effectively in a collaborative, cross-functional team environment.
  • Adaptability: Willingness to learn and adapt to new challenges and technologies.

Preferred Qualifications

  • Experience with machine learning techniques applied to supply chain problems.
  • Familiarity with cloud computing platforms (e.g., AWS, Azure) and big data technologies.
  • Experience in the software development lifecycle, including version control and agile methodologies.

We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, veteran status or medical condition. We encourage people from all backgrounds to apply.

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