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Remote Operations Research Analyst Jobs in Atlanta, GA

Data Scientist

Atlanta, GA · Remote

$95K - $110K/yr

... operations research, computer science, engineering, or another quantitative field. * Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and ...

Data Scientist

Atlanta, GA · On-site +1

$95K - $110K/yr

... operations research, computer science, engineering, or another quantitative field. * Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and ...

Financial Analyst

Atlanta, GA · Remote

$70K - $95K/yr

This is a fully remote position open to candidates across the United States. Responsibilities ... Partner with business units to understand financial drivers and support operational decision-making

New

... remote field operations. The ideal candidate is an organized, proactive leader who excels at coaching employees, managing competing priorities, analyzing operational data, and fostering ...

Field Operations Manager

Buford, GA · Remote

$55K - $75K/yr

... remote field operations. The ideal candidate is an organized, proactive leader who excels at coaching employees, managing competing priorities, analyzing operational data, and fostering ...

... remote field operations. The ideal candidate is an organized, proactive leader who excels at coaching employees, managing competing priorities, analyzing operational data, and fostering ...

Simulation Engineer

Atlanta, GA · On-site +1

$65K - $140K/yr

... analyze operational data, and provide insights that drive solution design and customer decisions ... Research, Industrial Engineering, or a related technical field. * Proven experience in simulation ...

Simulation Engineer

Atlanta, GA · On-site +1

$65K - $140K/yr

... analyze operational data, and provide insights that drive solution design and customer decisions ... Research, Industrial Engineering, or a related technical field. * Proven experience in simulation ...

Client Director (GA, NC, MA, NY, CA, Remote) Aimpoint Digital is a fast-growing, independently owned data, analytics, AI, and Operations Research advisory and solution engineering firm. We serve ...

This is a remote position based in the United States/Canada, offering the flexibility to work from ... Analyze existing operational processes and identify areas for improvement. Develop and implement ...

Showing results 41-60

Remote Operations Research Analyst information

See Atlanta, GA salary details

$41.8K

$98.5K

$130.8K

How much do remote operations research analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for remote operations research analyst in Atlanta, GA is $98,533.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $112,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote operations research analyst?

A Remote Operations Research Analyst requires strong analytical and quantitative skills, usually supported by a degree in mathematics, statistics, operations research, or a related field. Familiarity with optimization software (such as CPLEX or Gurobi), programming languages (like Python or R), and proficiency in data visualization tools are commonly expected; certifications in analytics or data science can be advantageous. Excellent problem-solving ability, attention to detail, and clear written and verbal communication skills help analysts effectively present findings and collaborate virtually. These abilities are critical for successfully analyzing complex systems, delivering actionable insights to organizational leaders, and navigating remote work dynamics.

What does a typical workday look like for a remote operations research analyst?

As a Remote Operations Research Analyst, your typical day involves collecting and analyzing large datasets, building mathematical models to solve business problems, and generating recommendations based on your findings. You'll frequently coordinate with cross-functional teams via virtual meetings, present analytical results, and refine models based on stakeholder feedback. Much of your work will be independent and deadline-driven, but strong communication ensures alignment with project goals. This remote role offers flexibility, but requires self-motivation and effective time management to balance multiple projects and deliver high-quality insights.

What is a remote operations research analyst?

A Remote Operations Research Analyst uses mathematical modeling, statistical analysis, and optimization techniques to solve complex business problems, improve processes, and support decision-making. Working remotely, they analyze data, develop simulations, and provide recommendations to enhance efficiency and effectiveness in various industries. They typically collaborate with teams through virtual meetings and tools, using software like Python, R, or Excel. Their work helps organizations optimize resources, reduce costs, and improve overall performance.

What are the most commonly searched types of Operations Research Analyst jobs in Atlanta, GA? The most popular types of Operations Research Analyst jobs in Atlanta, GA are:
What job categories do people searching Remote Operations Research Analyst jobs in Atlanta, GA look for? The top searched job categories for Remote Operations Research Analyst jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Remote Operations Research Analyst jobs? Cities near Atlanta, GA with the most Remote Operations Research Analyst job openings:
Infographic showing various Remote Operations Research Analyst job openings in Atlanta, GA as of June 2026, with employment types broken down into 6% Internship, and 94% Full Time. Highlights an 100% Remote job distribution, with an average salary of $98,533 per year, or $47.4 per hour.

Data Scientist

Revenue Analytics

Atlanta, GA • Remote

$95K - $110K/yr

Full-time

Re-posted 19 days ago


Job description

Data Scientist

Revenue Analytics is a SaaS company that helps companies make better revenue decisions in pricing, products, and promotions. Our analytics solutions drive measurable revenue uplift and help customers move faster with more confidence.

Founded in 2005, we combine deep expertise in pricing and revenue management with modern software, machine learning, and AI to power complex commercial decisions. In Hospitality, we are building products that help redefine what modern revenue management looks like — turning advanced analytics into practical product capability for hotel operators navigating pricing, demand, and competitive complexity.

This Data Scientist position represents a unique opportunity to join a growth-stage company that is investing aggressively in the future of hospitality revenue management. We are looking for someone excited by that opportunity and motivated to help build real product capability, not just one-off analysis.

As a Data Scientist, you will help build machine learning and AI systems that power our hospitality analytics platform. You will work on revenue management and pricing problems in a complex, fast-moving domain, partnering closely with product, science, and engineering to turn ambiguous questions into rigorous analytical solutions. Your work will directly influence product direction and help hospitality customers make better, faster, more data-driven decisions.

What You Will Do:
  • Build machine learning and AI solutions that support pricing, forecasting, and revenue management decisions in hospitality.
  • Analyze large, sometimes messy datasets to identify patterns, risks, and opportunities, and turn them into practical recommendations or product capability.
  • Write clean Python and SQL, working with data pipelines and analytical workflows to prepare, validate, and operationalize data.
  • Apply modern AI techniques, including LLMs and AI coding tools such as Claude Code, thoughtfully to accelerate prototyping, learning, and development while maintaining technical quality.
  • Partner closely with product, engineering, and cross-functional stakeholders to translate business problems into analytical solutions and communicate insights clearly.
What You Will Bring:
  • 0–2 years of experience in data science, analytics, machine learning, or a related field, including internships, research, senior projects, or meaningful independent projects.
  • Bachelor’s or Master’s degree in statistics, mathematics, operations research, computer science, engineering, or another quantitative field.
  • Hands-on coding experience in Python, working knowledge of SQL, and familiarity with modern data analysis and machine learning workflows.
  • Ability to structure ambiguous problems, choose sensible analytical approaches, and explain trade-offs, limitations, and recommendations clearly.
  • Strong curiosity, ownership, and learning agility, with interest in hospitality, travel, pricing, forecasting, or other business problems where analytics can directly influence outcomes.
Preferred Qualifications:
  • Experience with revenue management, pricing, forecasting, segmentation, or related analytical problem spaces.
  • Experience building something reusable or scalable, such as a data pipeline, internal tool, model workflow, or decision-support analysis.
  • Familiarity with cloud platforms, business intelligence tools, or modern AI tooling in technical workflows.
 
Who We Are
A pioneer of Revenue Management, Revenue Analytics is an enterprise SaaS company that partners with hospitality, media, and transportation companies to solve their most complex pricing challenges. By leveraging powerful analytics and deep strategic experience, Revenue Analytics’ next-generation software delivers intuitive answers to help companies perfect their pricing, reclaim missed revenue, and take back their time. To learn more about how Revenue Analytics is recreating Revenue Management, visit revenueanalytics.com or follow us on Twitter and LinkedIn.
 
Visa sponsorship is not available for this role.  Revenue Analytics embraces diversity and is an equal opportunity employer. We are committed to building a Team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.