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Remote Online Statistical Data Analysis Jobs in Colorado

Senior Data Analyst

Denver, CO ยท On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics ...

Senior Data Analyst

Denver, CO ยท On-site +1

$90K - $120K/yr

100% Remote Full-time Senior Analyst At NuView Analytics - we help companies accelerate the time to ... Statistical modeling and machine learning Qualifications: * Bachelors Degree in Analytics ...

Data Analyst

Denver, CO ยท On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

Data Analyst

Denver, CO ยท On-site +1

$80K - $100K/yr

Salary: $80k-100K + bonus + benefits Location: 100% remote for US-based candidates Responsibilities: * Candidate will complete data analytics and data science projects for clients * Candidate will ...

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... Build and refine statistical models (e.g., propensity matching, survival analysis) under the ...

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... Build and refine statistical models (e.g., propensity matching, survival analysis) under the ...

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... Build and refine statistical models (e.g., propensity matching, survival analysis) under the ...

$35/hr

Support data extraction, cleaning, and analysis of structured and unstructured healthcare data ... Build and refine statistical models (e.g., propensity matching, survival analysis) under the ...

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Remote Online Statistical Data Analysis information

What is a remote online statistical data analyst?

A Remote Online Statistical Data Analyst is a professional who uses statistical methods to collect, analyze, and interpret data while working from a remote location. They leverage specialized software and tools to process large datasets, identify trends, and provide actionable insights for businesses or research purposes. Their work often involves collaborating with teams online, preparing reports, and presenting findings to help organizations make data-driven decisions. This role requires strong analytical skills, proficiency in statistical software, and the ability to communicate complex data in an understandable way.

What are the key skills and qualifications needed to thrive as a remote online statistical data analyst?

To excel as a Remote Online Statistical Data Analyst, you need a solid background in statistics, data analysis, and a relevant degree such as mathematics, statistics, or data science. Familiarity with statistical software like R, Python (pandas, NumPy, SciPy), SQL, and data visualization tools is typically required, along with certifications in data analytics being advantageous. Strong analytical thinking, attention to detail, effective communication, and self-motivation are crucial soft skills for remote collaboration and independent work. These skills ensure accurate data interpretation, actionable insights, and seamless teamwork in a remote setting.

What are some common challenges faced when working remotely as an online statistical data analyst and how can they be addressed?

One of the most common challenges in remote online statistical data analysis is maintaining clear communication with team members and stakeholders, especially when discussing complex data findings or project requirements. Time zone differences and limited face-to-face interaction can also make collaboration more difficult. To address these challenges, remote analysts often use project management tools, regular video meetings, and detailed documentation to ensure everyone is aligned. Building a routine for sharing progress and being proactive in seeking feedback can help maintain productivity and team cohesion.

What is the difference between Remote Online Statistical Data Analysis vs Remote Data Scientist?

AspectRemote Online Statistical Data AnalysisRemote Data Scientist
Required CredentialsStatistics or related degree, certifications in data analysis toolsStatistics, Computer Science, or related degree, advanced certifications often preferred
Work EnvironmentPrimarily remote, focused on data analysis tasksPrimarily remote, involves data modeling, machine learning, and programming
Industry UsageUsed across healthcare, finance, marketing, and research sectorsCommon in tech, finance, healthcare, and e-commerce industries
Common Search & ComparisonYesYes

Remote Online Statistical Data Analysts focus on analyzing data sets using statistical methods, often with tools like SPSS, SAS, or R. Remote Data Scientists typically have broader roles involving data modeling, machine learning, and programming in Python or SQL. While both roles work remotely and require strong analytical skills, Data Scientists usually have more advanced technical expertise and handle more complex data projects.

What are popular job titles related to Remote Online Statistical Data Analysis jobs in Colorado?

For Remote Online Statistical Data Analysis jobs in Colorado, the most frequently searched job titles are:

What job categories do people searching Remote Online Statistical Data Analysis jobs in Colorado look for?

The top searched job categories for Remote Online Statistical Data Analysis jobs in Colorado are:

What cities in Colorado are hiring for Remote Online Statistical Data Analysis jobs?

Cities in Colorado with the most Remote Online Statistical Data Analysis job openings:

Infographic showing various Remote Online Statistical Data Analysis job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Statistician (Data Scientist)

Office of the Secretary of the Interior

Lakewood, CO โ€ข On-site, Remote

$74K - $159K/yr

Full-time

Posted 12 days ago


Job description

Summary
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).
Learn more about this agency
Duties
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  • Serves as a Statistician (Data Scientist) within Analytics and Compliance Planning (ACP) and oversees and directs research and analysis on risk and likelihood of payment and reporting noncompliance to generate compliance and audit cases.
  • Develops new metrics, models, and algorithms for measuring risk; reviews past methods; coordinates with agency stakeholders on the analytic needs of ONRR's audit/compliance community; and continually improves risk models and measurement.
  • Conducts descriptive, inferential, and predictive statistical analyses using languages such as R or Python to explore data, test hypotheses, interpret output, and implement model training and prediction to inform decisions.
  • Uses data visualization software such as in Oracle Analytics Cloud or Power BI (experience with other tools such as Tableau is also applicable) to explore data and present polished graphical representations of findings to stakeholders.
  • Translates complex concepts, findings, and limitations into concise, plain language, closely tying findings and conclusions into the agency mission, original problem statement, and team objectives.

Requirements
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Conditions of employment
  • U.S. Citizenship is required.
  • Suitable for Federal employment, determined by background investigation.
  • Direct Deposit of pay is required.
  • Selective Service registration required for male applicants, unless exempt.
  • Status candidates must meet time-in-grade (see Qualifications).

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/
Additional information
Reasonable Accommodation (RA) Requests: If you believe you have a disability (i.e., physical or mental), covered by the Rehabilitation Act of 1973 as amended that would interfere with completing the USA Hire Competency Based Assessments, you will be granted the opportunity to request a RA in your online application. Requests for RA for the USA Hire Competency Based Assessments and appropriate supporting documentation for RA must be received prior to starting the USA Hire Competency Based Assessments. Decisions on requests for RA are made on a case-by-case basis. If you meet the minimum qualifications of the position, after notification of the adjudication of your request, you will receive an email invitation to complete the USA Hire Competency Based Assessments, based on your adjudication decision. You must complete all assessments within 48 hours of receiving the URL to access the USA Hire Competency Based Assessments, if you received the link after the close of the announcement. To determine if you need a RA, please review the Procedures for Requesting a RA for Online Assessments.
Telework Suitability:
The Office of Natural Resources Revenue has determined that the duties of this position are suitable for occasional telework and the selectee may be allowed to telework with supervisory approval, and if they meet the eligibility criterion in the 2010 Telework Act.
Stipulations of Employment:
Selection may require completion of a 1-year probationary period.
If selected, the position to which you will be appointed is subject to a financial disclosure report requirement and you will be required to complete a new entrantConfidential Financial Disclosure Report (OGE Form 450) within 30 days of your appointment. In addition, DOI (Office of the Secretary) and Office of Natural Resources Revenue (ONRR) employees are further restricted concerning their holdings of Federal lands and resources administered or controlled by the Department of the Interior. This includes holding stock in corporations engaged in mining activities on Federal lands (e.g., oil, gas, coal, alternative energy resources, etc.). Please refer to the following webpage for Ethics information: https://www.doi.gov/ethics ONRR requires the highest level of integrity. Employees must be totally objective and impartial in the performance of their work. All potential issues (e.g., work related interactions with friends, family members or previous employers) must be disclosed at the time of application or during the interview process.
Work Schedule:
This position allows for a flexible work schedule.
Miscellaneous:
DOI uses E-Verify to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit http://www.uscis.gov/e-verify.
If selection is made below the full performance level, promotion up to the full performance level may be made without further competition. However, promotion(s) will depend on the performance of the incumbent and are not guaranteed.
This vacancy announcement may be used to fill similar positions within 90 days.
Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
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Candidates should be committed to improving the efficiency of the Federal government, passionate about the ideals of our American republic, and committed to upholding the rule of law and the United States Constitution.
Benefits
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A career with the U.S. government provides employees with a comprehensive benefits package. As a federal employee, you and your family will have access to a range of benefits that are designed to make your federal career very rewarding. Opens in a new windowLearn more about federal benefits.
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Eligibility for benefits depends on the type of position you hold and whether your position is full-time, part-time or intermittent. Contact the hiring agency for more information on the specific benefits offered.