1

Assistant Statistician Jobs in Colorado (NOW HIRING)

next page

Showing results 1-20

Assistant Statistician information

See Colorado salary details

$42.6K

$88K

$123K

How much do assistant statistician jobs pay per year?

As of Sep 7, 2026, the average yearly pay for assistant statistician in Colorado is $87,966.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $122,000.00 per year, depending on experience, location, and employer.

What does an assistant statistician do?

An Assistant Statistician supports senior statisticians in collecting, analyzing, and interpreting data to help organizations make informed decisions. They assist with designing surveys, running statistical tests, preparing reports, and presenting findings. Their role often involves working with software tools to manage and process data, ensuring accuracy and reliability in the results. Assistant Statisticians are typically involved in research projects across sectors such as government, healthcare, business, and academia.

What are the key skills and qualifications needed to thrive as an assistant statistician, and why are they important?

To thrive as an Assistant Statistician, you need a solid background in statistics, mathematics, and data analysis, typically supported by a relevant degree such as statistics, mathematics, or a related field. Familiarity with statistical software like SPSS, R, or SAS, as well as proficiency in data visualization tools and spreadsheet applications, is commonly required. Attention to detail, problem-solving abilities, and strong communication skills help you interpret data accurately and present findings clearly. These skills and qualifications are vital for delivering reliable statistical insights that support decision-making in research, business, or government settings.

What are some common challenges faced by assistant statisticians and how can they be addressed?

Assistant Statisticians often encounter challenges such as managing large datasets, ensuring data accuracy, and meeting tight project deadlines. To address these, it's important to develop strong organizational and analytical skills, become proficient in statistical software like R or SAS, and maintain clear communication with team members. Regularly seeking feedback from senior statisticians and participating in ongoing training can also help you overcome obstacles and grow in the role.

What is the difference between Assistant Statistician vs Data Analyst?

AspectAssistant StatisticianData Analyst
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's degree in statistics, mathematics, computer science, or related field
Work EnvironmentResearch institutions, government agencies, healthcare, academiaBusiness, finance, marketing, healthcare, technology
Employer & Industry UsageUsed in research, government, and academic settingsCommon in corporate, tech, and consulting sectors
Search & Comparison IntentUnderstanding entry-level statistical rolesAnalyzing data to inform business decisions

The Assistant Statistician typically works in research or academic environments, focusing on data collection and basic analysis under supervision. In contrast, Data Analysts often work in business settings, interpreting data to support strategic decisions. While both roles require similar educational backgrounds, their work environments and primary functions differ, making them distinct career paths within the data field.

What are the most commonly searched types of Statistician jobs in Colorado?

The most popular types of Statistician jobs in Colorado are:

Infographic showing various Assistant Statistician job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, 1% Temporary, and 4% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $87,966 per year, or $42.3 per hour.

$74K/yr

Full-time

Posted 12 days ago


Job description

This position is part of the DOI, ONRR, Deputy Director, Research & Analytics, Analytics & Compliance Planning. You must be able to report to one of the advertised duty stations. The position(s) may be filled in the following locations:
Dallas, TX - $81,186 - $150,426
Lakewood, CO -$83,265 - $154,280
Houston, TX - $86,123 - $159,575
Oklahoma City, OK - $74,678 - $138,370
Tulsa, OK - $74,678 - $138,370
The incumbent will be responsible for serving as a Statistician (Data Scientist).

Qualifications:All applicants for this position must possess one of the following basic requirements:
A. Degree: that included 15 semester hours in statistics (or in mathematics and statistics, provided at least 6 semester hours were in statistics), and 9 additional semester hours in one or more of the following: physical or biological sciences, medicine, education, or engineering; or in the social sciences including demography, history, economics, social welfare, geography, international relations, social or cultural anthropology, health sociology, political science, public administration, psychology, etc. Credit toward meeting statistical course requirements should be given for courses in which 50 percent of the course content appears to be statistical methods, e.g., courses that included studies in research methods in psychology or economics such as tests and measurements or business cycles, or courses in methods of processing mass statistical data such as tabulating methods or electronic data processing.
OR
B. Combination of education and experience -- courses as shown in A above, plus appropriate experience or additional education. The experience should have included a full range of professional statistical work such as (a) sampling, (b) collecting, computing, and analyzing statistical data, and (c) applying statistical techniques such as measurement of central tendency, dispersion, skewness, sampling error, simple and multiple correlation, analysis of variance, and tests of significance.
(NOTE: YOU MUST PROVIDE LEGIBLE TRANSCRIPTS SHOWING COMPLETED COURSEWORK AND DEGREE(S) AWARDED AS VERIFICATION OF YOUR EDUCATION).
In addition to meeting the basic eligibility requirements, applicants must have the following specialized experience.
At the GS-11 level, you must meet one of the following qualifications:
A. Three (3) years of progressively higher level graduate education (54 semester hours, 81 quarter hours or the equivalent) leading to a to a Ph.D. degree or Ph.D. or equivalent doctoral degree in statistics, or other directly related field of study if it provided the knowledge, skills and abilities necessary to do the work of this position. OR
B. One year of specialized experience equivalent to the GS-09 level. Specialized experience is that which has equipped the applicant with the competencies to successfully perform the duties of the position, and that is typically in or related to the position to be filled. Specialized experience for this position includes: 1) Assist in researching and applying basic statistical and/or mathematical techniques under the guidance of others; 2) assist in preparing or supporting the development of statistical and/or mathematical risk models and analytical methods as well as refining models; 3) participate in meetings with team members or management to discuss and document methods and results related to statistics, risk, or analytical models; 4) prepare draft reports, summaries, or visualizations that communicate the results of statistical or analytical work to others. OR
C. A Combination of education and experience as listed above.
At the GS-12 level, you must meet the following qualification:
One year of specialized experience equivalent to at least the GS-11 level. Specialized experience is that which has equipped the applicant with the competencies to successfully perform the duties of the position, and that is typically in or related to the position to be filled. Specialized experience for this position includes: 1) research and apply statistical and/or mathematical techniques and accurately interpret results; 2) provide support in developing statistical and/or mathematical risk models and analytical and algorithmic methods that test hypotheses and refine models; 3) meet with management or employees to interpret, explain and document methods, and results as they relate to statistics, risk and analytical models; 4) deliver training or provide guidance to peers and other employees for techniques and best practices in interpreting results from a statistical and/or mathematical risk model.
At the GS-13 level, you must meet the following qualification:
One year of specialized experience equivalent to at least the GS-12 level. Specialized experience is that which has equipped the applicant with the competencies to successfully perform the duties of the position, and that is typically in or related to the position to be filled. Specialized experience for this position includes: 1) develop or revise an agency or organization's statistical or mathematical models and complex algorithms related to financial, economic, or actuarial risk; 2) develop procedures for statistical model data integration, query authoring, manipulation, and output related to financial, economic, or actuarial risk; 3) develop, review, and enhance an agency or organization's financial, economic, or actuarial risk models and analytical methods to test hypotheses and refine models; 4) lead and conduct meetings with stakeholders or technical representatives to interpret, explain and document methods, results, and interpretations as they relate to statistics, risk and analytical models; 5) develop and deliver training or provide guidance to peers and other audiences on conducting and interpreting results from statistical or mathematical models and complex algorithms related to financial, economic, or actuarial risk.
Only experience and education obtained by the closing date of this announcement will be considered.
TIME-IN-GRADE: Current career or career-conditional employees of the Federal government, or former career or career-conditional employees, who have a break in service of less than one year, are required to meet the time-in-grade restriction of one year of Federal experience at the next lower grade, with few exceptions outlined in 5 CFR 300.603(b).
Experience refers to paid and unpaid experience, including volunteer work done through National Service programs (e.g., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community, student, social). You will receive credit for all qualifying experience, including volunteer experience.Education:You MUST provide transcripts or other documentation to support your educational claims. Unless otherwise stated: (1) official or unofficial transcripts are acceptable, or (2) you may submit a list with all of your courses, grades, semester, year, and credit for the course. All materials must be submitted by the closing date of the announcement. Note: PDF Portfolio documents will not be processed or accepted as they appear as a one-page document.
Only education from institutions which are accredited or preaccredited/candidate for accreditation may be used to meet education requirements.
FOREIGN EDUCATION: If you are using education completed in foreign colleges or universities to meet the qualification requirements, you must show that the education credentials have been evaluated by a private organization that specializes in interpretation of foreign education programs and such education has been deemed equivalent to that gained in an accredited U.S. education program; or full credit has been given for the courses at a U.S. accredited college or university. For further information, visit: https://sites.ed.gov/international/recognition-of-foreign-qualifications/Employment Type: OTHER