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Technology & Software
Microsoft, Google, Amazon
Operations Research Analysts
Operations research analysts use math and data to help organizations choose the best way to run a process, save money, or improve results. The work stands out because it turns messy business problems into models and numbers, then has to persuade managers to act on the answer. The main tradeoff is that the job can be well paid and intellectually strong, but it also demands advanced quantitative thinking and a lot of time spent proving that the model really fits the real world.
Also known as Operations AnalystDecision AnalystOptimization AnalystManagement ScientistQuantitative Analyst
Median Salary
$91,290
Mean $99,120
U.S. Workforce
~108K
9.6K openings per year
10-Year Growth
+21.5%
112.1K to 136.2K
Entry Education
Bachelor's degree
+ None experience
What This Role Looks Like in Practice
Operations Research Analysts sits in the Business category. In practical terms, this role combines day-to-day execution, cross-team coordination, and consistent decision-making under real business constraints.
U.S. employment is currently about ~108K workers, with a median annual pay of $91,290 and roughly 9.6K openings each year. Based on BLS projections, total employment is expected to grow from 112.1 K in 2024 to 136.2K in 2034.
Most hiring paths start with Master's Degree in Operations Research, Statistics, Analytics, or Industrial Engineering, and employers typically expect none of related experience. Many careers in this track begin around Junior Data Analyst and can progress toward Principal Operations Research Analyst. High-value skills usually include Mathematics, Python, R & Statistical Software, and Complex Problem Solving, paired with soft skills such as Active Listening, Critical Thinking, and Reading Comprehension.
Core Responsibilities
- Meet with managers to figure out what problem needs to be solved and what success should look like.
- Collect data from company systems, check it for gaps or errors, and make sure it is reliable enough to use.
- Build math-based models or simulations to compare different options before anyone makes a big change.
- Break a process into smaller parts and study how changes in one step affect time, cost, or output.
Keep exploring: more Business careers or browse all job titles.
A Day in the Life
01 Meet with managers to figure out what problem needs to be solved and what success should look like.
02 Collect data from company systems, check it for gaps or errors, and make sure it is reliable enough to use.
03 Build math-based models or simulations to compare different options before anyone makes a big change.
04 Break a process into smaller parts and study how changes in one step affect time, cost, or output.
05 Help teams roll out the chosen solution and adjust it if the first version does not work as expected.
06 Create planning tools for projects, logistics, schedules, or production so work runs more smoothly.
Industries That Hire
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Finance & Insurance
JPMorgan Chase, Capital One, American Express
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Logistics & Transportation
UPS, FedEx, DHL
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Manufacturing & Aerospace
Boeing, General Electric, Siemens
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Healthcare & Pharmaceuticals
UnitedHealth Group, CVS Health, Pfizer
Pros and Cons
Advantages
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Pay is strong for a role that typically starts with a bachelor's degree, with a mean annual salary of $99,120 and a median of $91,290.
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Growth is solid: employment is projected to rise 21.5% by 2034, adding about 24.1K jobs.
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There are about 9.6K annual openings, so qualified candidates can find steady demand even when the overall field is not huge.
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The work transfers across industries because the same modeling skills can help with scheduling, pricing, logistics, and production planning.
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BLS says no prior work experience or on-the-job training is required, so internships and school projects can matter a lot when you are starting out.
Challenges
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The entry bar is higher than it looks: BLS says a bachelor's degree is typical, but O*NET shows 42.86% of workers have a master's degree and 14.29% have a doctorate.
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The field is relatively small, with 107,760 workers, so jobs can be concentrated in certain cities, industries, or large employers.
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A lot of the work is behind a screen, turning into long stretches of data cleaning, modeling, and checking assumptions instead of visible results.
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Some routine analysis can be automated by better software and AI tools, which may reduce demand for simpler modeling tasks over time.
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Career progress can flatten unless you move into senior consulting, domain specialization, or management, because there are fewer top-level analyst roles than entry-level ones.
Career Progression
Junior Data Analyst
0-2 years
$60K-$78K
Supports senior analysts by cleaning data, building simple reports, and learning how business problems are translated into numbers.
Operations Research Analyst
2-5 years
$84K-$104K
Builds models, tests options, and presents recommendations that help managers make better decisions.
Senior Operations Research Analyst THIS ROLE
5-9 years
$105K-$135K
Handles larger and messier problems, guides project work, and explains tradeoffs to leaders who want a clear answer.
Principal Operations Research Analyst
9+ years
$136K-$175K
Leads the toughest modeling work, sets methods for the team, and advises executives on high-stakes decisions.
Education Paths
Master's Degree in Operations Research, Statistics, Analytics, or Industrial Engineering
The most common route in the O*NET data, held by 42.86% of workers in this role.
Bachelor's Degree in Mathematics, Statistics, Industrial Engineering, or Computer Science
A common entry point, held by 33.33% of workers in the O*NET data and also listed by BLS as the typical starting level.
Post-Baccalaureate Certificate in Analytics or Optimization
An alternative route, held by 9.52% of workers in the O*NET data, often used by people who already have a degree in another field.
Doctoral Degree for Research-Heavy or Highly Specialized Roles
A smaller but real pathway, held by 14.29% of workers in the O*NET data, usually for advanced modeling or research work.
Key Skills
Technical
Mathematics 90%
Python, R & Statistical Software 88%
Complex Problem Solving 82%
SQL & Database Querying 81%
Excel & Spreadsheet Modeling 79%
Optimization Modeling & Simulation Tools 78%
Tableau, Power BI & Data Visualization 76%
Soft Skills
Active ListeningCritical ThinkingReading ComprehensionClear SpeakingBusiness WritingTeam Collaboration Job Outlook and Trends
+21.5%
Projected growth (2024-2034)
9.6K
Annual job openings
Employment is projected to rise from 112.1K to 136.2 K over the next decade, representing 21.5% growth. Around 9.6 K openings per year include both newly created roles and replacement hiring from turnover.
Remote availability is currently High availability. Demand remains strongest where employers need practical domain knowledge plus modern workflow and data skills.