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Statistical Analysis Jobs (NOW HIRING)

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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 ...

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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 ...

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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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The Senior Statistical Programmer Analyst I (SR SPA I) is an independent statistical programmer analyst supporting the clinical reporting production programming and verification for client regulatory ...

Edetek is seeking a highly skilled Senior Statistical Programmer to join our dynamic team ... As a leader in data analytics, we are dedicated to providing innovative solutions to our clients in ...

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Statistical Analysis information

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$30K

$70.5K

$117.5K

How much do statistical analysis jobs pay per year?

As of Jul 26, 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.

What jobs use statistical analysis?

Statistical analysis is used in a variety of jobs including data analyst, statistician, data scientist, market researcher, quality analyst, and financial analyst. These roles involve collecting, interpreting, and presenting data to support decision-making, often requiring proficiency with tools like Excel, R, or Python and relevant certifications or degrees in statistics or related fields.

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 a statistical analysis job?

A statistical analysis job involves collecting, interpreting, and presenting data to help organizations make informed decisions. Professionals in this role use statistical tools and software, such as R or SAS, and often require strong analytical skills and a background in mathematics or statistics. The work environment can vary from corporate offices to research institutions, and roles may require certifications like a SAS or statistical analysis certification.

Is 40 too late for data science?

Age is not a strict barrier for a career in data science, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

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.

Are statisticians highly paid?

Statisticians typically earn higher-than-average salaries due to their specialized skills in data analysis, modeling, and statistical software. Salaries vary based on experience, education, industry, and location, but the profession is generally considered well-compensated within the analytics and data science fields.

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.
More about Statistical Analysis jobs
What cities are hiring for Statistical Analysis jobs? Cities with the most Statistical Analysis job openings:
What are the most commonly searched types of Statistical Analysis jobs? The most popular types of Statistical Analysis jobs are:
What states have the most Statistical Analysis jobs? States with the most job openings for Statistical Analysis jobs include:
Infographic showing various Statistical Analysis job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.
Statistical Analysis Support Services

Statistical Analysis Support Services

Ocean Associates

Seattle, WA • On-site

$45 - $60/hr

Full-time

Posted 3 days ago


Job description

Note: We are seeking applicants for this position prospectively, which is dependent on award of contract

If you are unable to complete this application due to a disability, contact Ocean Associates at 703-388-9548 to ask for an accommodation or an alternative application process.

Ocean Associates Inc. (OAI) is seeking an applicant to provide statistical Analysis support services to the National Oceanic and Atmospheric Administration (NOAA) Fisheries, Northwest Fisheries Science Center (NWFSC), Fish Ecology Division (FE) in Seattle, WA. OAI is a Virginia corporation established in 2003 that provides consulting and technical services to the U.S. government, non-governmental organizations, international organizations, and the private sector. We specialize in scientific program and project management, strategic planning, professional and technical services, and stakeholder engagement, supporting government contracts.

Background

The Fish Ecology Division at the Northwest Fisheries Science Center (NWFSC) conducts scientific research on marine and anadromous species in the Pacific Northwest and California to support management of these species as mandated by the authorizing mechanisms outlined above. Some stocks are managed under the MSA to produce abundant harvest opportunities for commercial and recreational fishermen and to meet tribal treaty obligations, while others are in decline and protected by the ESA. The NWFSC also researches ways to improve aquaculture and increase seafood safety. Holistic understanding of all factors controlling the abundance and health of fisheries and aquaculture often requires an ecosystem approach, working to understand how managed natural resources are affected by their prey, competitors, predators, habitats, and humans. This position will support NWFSC staff and interdisciplinary teams of scientists, natural resource managers, and tribal representatives to conduct ecological research on species that NOAA is mandated to manage.

The NWFSC is a leader in quantitative analyses supporting fisheries management for marine and anadromous species. It produces increasingly large datasets as quantitative research techniques become more complex. Researchers examine complex relationships between managed stocks and their environments that involve highly technical statistical approaches that continue to rapidly evolve. The Center collaborates with regional partners to manage data and provide public access to empirical and modeled data products. There is a strong need for continued improvement in both the ability to conduct advanced quantitative analyses and to adeptly manage and share resulting research products. Modern fisheries management faces a growing data-capacity gap: data volume is surging while managers have less time to interpret complex research.


Tasks

Key tasks include the following:

  • Provide statistical analysis to inform management decisions.
  • Statistically analyze spatial and temporal variability in processes experienced by migrating salmon in the river systems, especially to understand survival and migration patterns through hydropower systems and through their life cycles.
  • Analyze and generate relationships between fish responses (e.g. density, growth, survival, migration rate) and stressors (e.g. environmental or ecological conditions, habitat metrics, management actions, etc.) in particular life stages.
  • Develop novel probabilistic mathematical and simulation models that seek to represent unique and complex ecological and behavioral processes with modern statistical methods.
  • Provide statistical support for other researchers during study design and analysis.
  • Organize and curate ecological datasets relevant to mark-recapture modeling needs.
  • Document and share reproducible research workflows and analytical protocols to ensure scientific transparency and peer collaboration.
  • Publish reports and scientific papers, and present results at regional and national meetings and scientific conferences, as needed.
  • Assist with field collection of fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region, as needed. This may involve riding in vehicles and/or boats.



Start Date: Contingent upon award of contract.

Location: Northwest Fisheries Science Center, Seattle, WA, or at one of its associated field stations in WA or OR.

Travel: Travel is anticipated. A valid driver’s license must be maintained.

Salary and Benefits: This is a full-time position with benefits. Salary, commensurate with experience, between $45.00 - $60.00+ per hour.

Requirements

Applicants must have the following minimum requirements:

  • PhD degree from an accredited college or university with a major in a field of study related to the requirements of the task order with emphasis in statistics, mathematics, fisheries, ecology, or the natural sciences is required. Must have a strong quantitative background with a solid foundation and extensive coursework in statistics and probability. Knowledge and experience in Bayesian statistics and mark-recapture methods is strongly preferred.
  • Ten (10) or more years of experience related to the task order, including familiarity with the species and habitats managed by NOAA Fisheries in the West Coast region. An Advanced Degree in a related field may be substituted for two (MS) or four (PhD) years of experience.
  • Excellent verbal and written communication, and experience writing reports and publishing peer-reviewed articles.
  • Strong quantitative skills including extensive experience in statistical modeling and data analysis. Extensive experience conducting analyses and coding in R, experience with programs Stan and JAGS, and experience with open science concepts. Strong computational skills, including the ability to manipulate large environmental datasets within a command-line environment (e.g., Linux/shell scripting) to support statistical workflows. Familiarity interpreting or interfacing with C or C++ code within a scientific modeling context. Familiarity with common software including Google Suite and Microsoft Office.
  • Ability to manage workload, stay organized, and produce high-quality work products efficiently. Ability to work both independently and on interdisciplinary teams.


If you are interested in being considered for this position, please APPLY THROUGH OUR ADP WEB PORTAL, AT THE LINK AT THE TOP RIGHT OF THIS PAGE.

Only qualified applicants that meet minimum experience or background requirements stated above need apply. When applying for this position you will be asked to upload your resume at the end of this online application.

Applicants should submit a resume that includes the following:

  • Cover letter that briefly describes how you meet the required and preferred qualifications listed.
  • Work history for past 10 years or since last full-time education.
  • Education.
  • Previous experience or training with similar requirements.
  • Three professional references.
  • Include your name in the document file name.
  • Upload your resume in readable, not scanned, PDF or Word format (PDF is preferred).


In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States, complete the required employment eligibility verification document form upon hire, and successfully complete a federal government background check. OAI does not discriminate on the basis of any status or condition protected by applicable federal or state law.

OAI is a government contractor and is required by law to invite applicants to voluntarily self-identify their disability status and veteran status. OAI's online application includes check boxes to either voluntarily self identify or decline to self identify. While the information is collected through your application, it is collected anonymously and is not connected to your application. OAI uses the information it collects to track its disability and veteran hiring progress, and to meet its obligations under Section 503 of the Rehabilitation Act and under VEVRAA.

Note: If you are not selected, your materials may be retained for present or future opportunities. We may use your resume in bidding on a project and if we are awarded the work, we will contact you before seeking further applicants. If you do not wish us to retain or use your resume to seek work for you, please let us know in the "Notes" section on the second page of the online application.