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Statistical Analysis Jobs (NOW HIRING)

Gemini Engineering LLC

Statistical Analyst

Cincinnati, OH · Remote

$60K - $70K/yr

Looking for an individual to lead a small engineering company's statistical analysis program for multiple Coal Combustion Residuals (CCR) sites across the United States (currently, TX, IL, OH, and PA ...

Gemini Engineering LLC

Statistical Analyst

Cincinnati, OH · Remote

$60K - $70K/yr

Looking for an individual to lead a small engineering company's statistical analysis program for multiple Coal Combustion Residuals (CCR) sites across the United States (currently, TX, IL, OH, and PA ...

TechData Service Company LLC

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RWE/RWD Statistical Analyst(Remote)

Princeton, NJ · Remote

$90K - $165K/yr

Conduct observational data analysis, include data management, statistical programming, interpretation of analyses results, and write-up/review the corresponding sections of RWE study report.

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How much do statistical analysis jobs pay per year?

As of Aug 16, 2026, the average yearly pay for statistical analysis in the United States is $70,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $81,000.00 per year, depending on experience, location, and employer.

How does a statistical analyst typically collaborate with other departments within an organization?

Statistical Analysts regularly work with teams such as marketing, finance, product development, and operations to interpret data and provide actionable insights. They often participate in cross-functional meetings to understand departmental goals and ensure that their analyses align with business objectives. Effective communication of complex statistical findings to non-technical colleagues is a key part of the role, as is adapting analysis techniques to suit different project needs. This collaborative environment fosters both professional growth and a deeper understanding of the broader organization.

What is the difference between Statistical Analysis vs Data Analyst?

AspectStatistical AnalysisData Analyst
Required CredentialsDegree in Statistics, Mathematics, or related field; certifications like SAS or SPSSDegree in Data Science, Statistics, or related; similar certifications often preferred
Work EnvironmentResearch labs, academic institutions, or industries focusing on data modelingBusiness settings, tech companies, or marketing firms analyzing data for insights
Employer & Industry UsageUsed across academia, healthcare, finance for in-depth data modelingCommon in corporate, retail, and tech sectors for reporting and visualization

While both roles involve working with data, Statistical Analysis focuses on developing and applying statistical models to interpret data, often requiring advanced statistical knowledge. Data Analysts primarily interpret data to generate reports and insights for business decisions. Both roles share similar credentials but differ in scope and application.

What is statistical analysis?

Statistical analysis is the process of collecting, exploring, and interpreting large amounts of data to discover underlying patterns and trends. It involves applying mathematical techniques to summarize data, test hypotheses, and make informed decisions. Professionals use statistical analysis in fields like business, healthcare, social sciences, and engineering to support evidence-based conclusions and predict future outcomes. Common methods include descriptive statistics, inferential statistics, regression analysis, and hypothesis testing.

What are the key skills and qualifications needed to thrive as a statistical analyst, and why are they important?

To thrive as a Statistical Analyst, you need a solid background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or data science. Familiarity with statistical software like R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you interpret and present complex data clearly. These skills ensure that analyses are accurate, actionable, and effectively support decision-making in various industries.
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What are the most commonly searched types of Statistical Analysis jobs?

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What states have the most Statistical Analysis jobs?

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Statistical Analysis jobs near you
Infographic showing various Statistical Analysis job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.

Statistical Analysis Systems (SAS) Specialist

Industry Analysis Careers

Washington, DC

$121K/yr

Full-time

Posted 10 days ago

Job description

This vacancy is for a Statistical Analysis Systems (SAS) Specialist in the International Trade Administration within the Department of Commerce.Qualifications:

Qualification requirements in the vacancy announcements are based on the U.S. Office of Personnel Management (OPM) Qualification Standards Handbook, which contains federal qualification standards. This handbook is available on the Office of Personnel Management's website located at: https://www.opm.gov/policy-data-oversight/classification-qualifications/general-schedule-qualification-standards/#url=Occupational-Series
Applicants must possess one year of specialized experience equivalent in difficulty and responsibility to the next lower grade level in the Federal Service. Specialized experience is experience that has equipped the applicant with the particular competencies/knowledge, skills and abilities to successfully perform the duties of the position. This experience need not have been in the federal government.

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). Volunteer work helps build critical competencies; knowledge, and skills and can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience.
To qualify at the GS-13 level:
SPECIALIZED EXPERIENCE: You must possess one full year (52 weeks) of specialized experience equivalent to the GS-12 in the Federal service. Specialized experience is defined as:

  • Creating Statistical Analysis Systems (SAS) programming language and advising on SAS programming issues.
  • Designing, developing, and applying Statistical Analysis System (SAS) software functions and features to create, modify, test, and maintain statistical programs.
  • Communicating complex technical, statistical, and program information orally and in writing to diverse audiences, including technical and non-technical stakeholders, management officials, or customers.
Education:There is no positive education requirement for this position.
Employment Type: OTHER

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