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

Aston Carter

Operations Analyst

Atlanta, GA · On-site

$25 - $30/hr

The Waste Operations Analyst is an entry-level position that supports commercial and specialized waste operations through data analysis, research, and administrative support. The role focuses on ...

Aston Carter

Operations Analyst

Atlanta, GA · On-site

$25 - $30/hr

The Waste Operations Analyst is an entry-level position that supports commercial and specialized waste operations through data analysis, research, and administrative support. The role focuses on ...

Hertz

Sr Data Scientist - Commercial

Atlanta, GA · On-site

$105K/yr

Developing the Data Analytics Team * Other duties and tasks as assigned What We're Looking For: * Master's degree in operations research, statistics, computer science, or a related quantitative field ...

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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 2, 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 Specialist - QuantumBlack Labs

McKinsey & Company

Atlanta, GA • On-site

Full-time

Re-posted 3 hours ago

McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

21st of 72 rated business consultants

Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will work in a multidisciplinary team of software engineers, product managers, data scientists, data engineers, and designers to create innovative products and technologies that accelerate and scale AI and machine learning.
You'll contribute across product teams working on agentic AI systems, digital twins, and advanced analytics platforms, building frameworks and libraries - including open-source projects such as Kedro and ARK - that enable data and AI practitioners to work effectively on large-scale, complex projects.
You will apply operations research methods and innovative approaches to tackle client challenges in end-to-end supply chain planning - from S&OP, production planning, and scheduling to network design and logistics optimization. The increasing complexity of integrated tactical and operational systems, combined with an explosion of data, makes these topics both top-of-mind and deeply challenging for many clients. You will enhance analytics tools to customize solutions to precise client situations, develop insights, and implement recommendations that produce tangible and lasting impact on operational performance. Your engagements will range from quick diagnostics to multi-month digital implementations, with the opportunity to present results directly to client leadership and collaborate with client teams on implementation.
Your work will help solve some of the most complex and high-impact challenges facing clients across industries. You'll help develop innovative AI and analytics capabilities and scalable enterprise solutions that directly support clients in accelerating AI adoption and solving complex business problems at scale.
You'll be based in Atlanta, Boston, or New York and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world. Together, you'll work on interdisciplinary projects to solve complex business challenges across a range of industries.
Your work offers a unique opportunity to grow at the forefront of AI and advanced analytics. You'll develop expertise at the intersection of technology and business by tackling diverse challenges in the evolving AI landscape. Working alongside multidisciplinary teams, you'll gain a holistic understanding of how operations research and optimization enable advanced AI while collaborating with some of the leading technologists and AI practitioners in the industry.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Bachelor's, master's or PhD level in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence
  • 5+ years of deep technical experience in operations research/optimization or related data science work
  • Programming experience in languages such as: Python, C++, Java
  • Proven application of operations research methods in the commercial world
  • Knowledge of standard software development tools and best practices (testing, version control, CI/CD, etc.)
  • Understanding of supply chain concepts such as supply chain strategy, production planning, scheduling, network design, inventory, and logistics
  • Previous experience in NLP or generative AI, including model development or application design and deployment, is highly desirable.
  • While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.
  • Willingness to travel
  • Good presentation and communication skills, with a knack for explaining complex analytical concepts to people from other fields

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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About McKinsey

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In April 2021, we announced the launch of McKinsey Sustainability, our new client-service platform with the goal of helping all industry sectors transform to get to net zero by 2050 and to cut carbon emissions by half by 2030. McKinsey Sustainability seeks to be the preeminent impact partner and advisor for our clients, from the board room to the engine room, on sustainability, climate, energy transition, and environmental, social and governance (ESG). We are committed to invest behind this goal over the next four years-through our client service, knowledge and capability building, acquisitions and alliances as well as pro-bono investments.

Industry

Business management consulting

Company size

10,000+ Employees

Headquarters location

New York, NY, US

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