As of March 01, 2025, the average annual salary for an Operations Research Analyst V in the United States is $133,211. According to Salary.com, salaries can range from a low of $97,146 to a high of $158,377, with most professionals earning between $114,333 and $146,384.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $146,384 | $12,199 | $2,815 | $70 |
| Average | $133,211 | $11,101 | $2,562 | $64 |
| 25th Percentile | $114,333 | $9,528 | $2,199 | $55 |
An entry-level Operations Research Analyst V with less than 1 year of experience earns about $124,192. With 1-2 years of experience, the average salary increases to $125,585. For 2-4 years of experience, the pay typically rises to $126,142. Senior-level professionals with 5-8 years of experience earn around $128,928, and those with over 8 years of experience can expect an average of $135,992.
| Levels | Salary |
|---|---|
| Entry Level Operations Research Analyst V | $124,192 |
| Intermediate Level Operations Research Analyst V | $125,585 |
| Senior Level Operations Research Analyst V | $126,142 |
| Specialist Level Operations Research Analyst V | $128,928 |
| Expert Level Operations Research Analyst V | $135,992 |
| Entry Level | 7% |
| Mid Level | 6% |
| Senior Level | 5% |
| Top Level | 3% |
| Experienced | 2% |
Salaries in the United States differ widely between states due to factors like cost of living, local economies, and industry presence.
What Am I Worth?
Salaries in the United States can vary greatly between cities due to factors like cost of living, local economies, and industry presence.
As of March 01, 2025, our research reveals a significant shift in Operations Research Analyst V compensation over the past six years. For example, the median salary increased from $149,653 in 2023 to approximately $149,595 in 2024. (For a detailed analysis of Operations Research Analyst V salary trends, click here.)
Key factors like location, experience, industry demand, and economic growth significantly influence salary variations, making them important to consider.
Salary.com job board provides millions of Operations Research Analyst V information for you to search for. Click on search button below to see Operations Research Analyst V job openings or enter a new job title here.
Here are companies hiring for Operations Research Analyst V and their salaries, click below for more details.
| Core Compensation | ||||
| Core Compensation | Median | % of Total | ||
| Base Salary | $133,211 | 66.8% | ||
| Bonus | $11,920 | 6.0% | ||
| Value of Benefits | ||||
| Core Compensation | Median | % of Total | ||
| Social Security | $11,103 | 5.6% | ||
| 401K/403B | $6,096 | 3.1% | ||
| Disability | $2,903 | 1.5% | ||
| Healthcare | $8,352 | 4.2% | ||
| Pension | $7,837 | 3.9% | ||
| Time Off | $17,862 | 9.0% | ||
| Total Compensation | $199,284 | 100% | ||
| Degree Level | % of user with this level of education |
|---|---|
| High School | 5.4% |
| Associates | 2.2% |
| Bachelors | 17.2% |
| Masters | 52.7% |
| Doctorate | 22.6% |
What Am I Worth?
The average annual salary of Operations Research Analyst V is $133,211. In case you are finding an easy salary calculator, the average hourly pay of Operations Research Analyst V is $64; the average weekly pay of Operations Research Analyst V is $2,562; the average monthly pay of Operations Research Analyst V is $11,101.
An Operations Research Analyst V's earning potential can vary widely depending on several factors, including location, industry, experience, education, and the specific employer. According to the latest salary data by Salary.com, an Operations Research Analyst V earns the most in San Jose, CA, where the annual salary of an Operations Research Analyst V is $167,180.
The highest pay for Operations Research Analyst V is $158,377.
The lowest pay for Operations Research Analyst V is $97,146.
Operations Research Analyst V collects and analyzes data to evaluate operations and processes and to facilitate complex decision-making. Follows established modeling and evaluation methodologies to determine the effectiveness of current operational activities, isolate problem areas and develop solutions. Being an Operations Research Analyst V tests and validates models and results. Prepares reports that outline and rank proposed solutions and present a range of possible alternatives. Additionally, Operations Research Analyst V may coordinate or provide guidance to high complexity or critical projects utilizing multiple resources. May present and interpret findings to executives and participate in the decision making process to recommend strategies and business directions. Requires a bachelor's degree of mathematics or related field. Typically reports to a manager or head of a unit/department. The Operations Research Analyst V works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. Works autonomously. Goals are generally communicated in solution or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. To be an Operations Research Analyst V typically requires 10+ years of related experience.
Specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
Data Science: Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems". Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge. In 2015, the American Statistical Association identified database management, statistics and machine learning, and distributed and parallel systems as the three emerging foundational professional communities.
Salary.com provides salary estimates, histograms, trends, and comparisons using data from employer job postings and third-party sources.
We offer detailed salary information across multiple percentiles for your reference. (Click here to learn Why the Salary Midpoint Formula Is Crucial for Achieving Pay Equity.)
With the most extensive online, real-time compensation data available, Salary.com helps you pinpoint your exact pay target.
