How much does an Operations Research Analyst IV make in Santa Cruz, CA? The average Operations Research Analyst IV salary in Santa Cruz, CA is $111,274 as of February 26, 2024, but the range typically falls between $97,561 and $121,845. Salary ranges can vary widely depending on many important factors, including education, certifications, additional skills, the number of years you have spent in your profession. With more online, real-time compensation data than any other website, Salary.com helps you determine your exact pay target. 

Operations Research Analyst IV Salaries by Percentile
Percentile Salary Location Last Updated
10th Percentile Operations Research Analyst IV Salary $85,075 Santa Cruz,CA February 26, 2024
25th Percentile Operations Research Analyst IV Salary $97,561 Santa Cruz,CA February 26, 2024
50th Percentile Operations Research Analyst IV Salary $111,274 Santa Cruz,CA February 26, 2024
75th Percentile Operations Research Analyst IV Salary $121,845 Santa Cruz,CA February 26, 2024
90th Percentile Operations Research Analyst IV Salary $131,470 Santa Cruz,CA February 26, 2024
25% $97,561 10% $85,075 90% $131,470 75% $121,845 $111,274 50%(Median) Didn’t find job title? Click
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What skills does an Operations Research Analyst IV need?

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.

1.

Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.

2.

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.

3.

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.

Analysis 27.4%
Data Analysis 2.28%
Data Science 1.66%
Others 68.66%

Job Description for Operations Research Analyst IV

Operations Research Analyst IV 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 IV 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 IV may coordinate or provide guidance to high complexity or critical projects utilizing multiple resources. Requires a bachelor's degree of mathematics or related field. Typically reports to a manager. Operations Research Analyst IV is a specialist on complex technical and business matters. Work is highly independent. May assume a team lead role for the work group. To be an Operations Research Analyst IV typically requires 7+ years of related experience. (Copyright 2024 Salary.com)... View full job description

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Career Path for Operations Research Analyst IV

A career path is a sequence of jobs that leads to your short- and long-term career goals. Some follow a linear career path within one field, while others change fields periodically to achieve career or personal goals.

For Operations Research Analyst IV, the upper level is Operations Research Analyst V and then progresses to Operations Research Analysis Supervisor.

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Operations Research Analyst IV salary varies from city to city. Compared with national average salary of Operations Research Analyst IV, the highest Operations Research Analyst IV salary is in San Francisco, CA, where the Operations Research Analyst IV salary is 25.0% above. The lowest Operations Research Analyst IV salary is in Miami, FL, where the Operations Research Analyst IV salary is 2.9% lower than national average salary.

City, State Compared to national average
City, State San Francisco, CA Compared to national average
+ 25.0%
City, State Washington, DC Compared to national average
+ 11.3%
City, State Miami, FL Compared to national average
-2.9%
City, State Chicago, IL Compared to national average
+ 5.5%
City, State Boston, MA Compared to national average
+ 12.7%
City, State New York, NY Compared to national average
+ 17.5%
City, State Dallas, TX Compared to national average
-0.7%

Take just three simple steps below to generate your own personalized salary report

Step 1 of 3

Understand the total compensation opportunity for an Operations Research Analyst IV, base salary plus other pay elements

Average Base Salary

Core compensation

 
 
 
97561
121845
111274

Average Total Cash Compensation

Includes base and annual incentives

 
 
 
101724
132871
118029
These charts show the average base salary (core compensation), as well as the average total cash compensation for the job of Operations Research Analyst IV in Santa Cruz, CA. The base salary for Operations Research Analyst IV ranges from $97,561 to $121,845 with the average base salary of $111,274. The total cash compensation, which includes base, and annual incentives, can vary anywhere from $101,724 to $132,871 with the average total cash compensation of $118,029.
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How much should you be paid?

For a real-time salary target, tell us more about your role in the four categories below.

97561
121845

 

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How much should you be paid?

About Santa Cruz, California    Santa Cruz (/ˈsæntə ˈkruːz/, Spanish: Holy Cross) is the county seat and largest city of Santa Cruz County, California. As of 2013 the U.S. Census Bur....More

Santa Cruz, California  area prices were up 2.5% from a year ago    View the Cost of Living in Santa Cruz, California

Operations Research Analyst IV Salary in popular cities: Los AngelesSan DiegoSan Jose

Skills associated with Operations Research Analyst IV: General Data Analysis Software, Operations Research, Statistical Analysis, Complex Event Processing/Event Correlation ...More

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