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Statistical Analysis Jobs (NOW HIRING)

Navitas Life Sciences

Senior Statistical Programmer

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

NY · On-site

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 ...

SystImmune, Inc

Statistical Programmer

Redmond, WA · On-site

$80K - $100K/yr

Review study documents including statistical analysis plans (SAPs), CRFs, database specifications, and data transfer specifications. * Create and/or review SDTM/ADaM mapping specifications and ...

EDETEK

Senior Statistical Programmer

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 ...

SystImmune, Inc

Statistical Programmer

Redmond, WA · On-site

$80K - $100K/yr

Review study documents including statistical analysis plans (SAPs), CRFs, database specifications, and data transfer specifications. * Create and/or review SDTM/ADaM mapping specifications and ...

Perr&Knight

Statistical Analyst

$66K - $72K/yr

... analysis reports for clients * Assisting in consultations with clients which incudes providing ... statistical reporting, data services, predictive analytics, and bureau monitoring & maintenance.

Systimmune

Statistical Programmer

Redmond, WA · On-site

$80K - $100K/yr

Review study documents including statistical analysis plans (SAPs), CRFs, database specifications, and data transfer specifications. * Create and/or review SDTM/ADaM mapping specifications and ...

SystImmune, Inc.

$80K - $100K/yr

Review study documents including statistical analysis plans (SAPs), CRFs, database specifications, and data transfer specifications. * Create and/or review SDTM/ADaM mapping specifications and ...

Perr&Knight

Statistical Analyst

FL · Remote

$66K - $72K/yr

... analysis reports for clients * Assisting in consultations with clients which incudes providing ... statistical reporting, data services, predictive analytics, and bureau monitoring & maintenance.

Systimmune

Statistical Programmer

Redmond, WA · On-site

$80K - $100K/yr

Review study documents including statistical analysis plans (SAPs), CRFs, database specifications, and data transfer specifications. * Create and/or review SDTM/ADaM mapping specifications and ...

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Statistical Analysis information

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How much do statistical analysis jobs pay per year?

As of Sep 10, 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 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.

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 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.

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.

Do statisticians make a lot of money?

Statisticians typically earn a competitive salary, with median annual wages above the national average for all occupations. Salaries vary based on experience, education, industry, and location, and advanced skills in data analysis and statistical software can lead to higher compensation.
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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 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.

Senior Manager of Statistical Analysis and Quality Control

Rockville, MD • On-site

Hendall Inc
IT Services • 51 - 200 employees
Learn more about Hendall Incexternal

Full-time

Posted 20 days ago

Job description

OVERVIEW
Hendall is currently seeking a Senior Manager of Statistical Analysis and Quality Control to serve as the senior statistical, quality control, and behavioral health data lead on a project team supporting the U.S. Department of Health and Human Services (HHS). This is a senior management role with responsibility for technical leadership, independent review, and quality assurance of complex analyses and data products. The ideal candidate will have strong quantitative, data processing, and analytic skills and extensive experience applying population-based statistical methods to large, complex datasets, including administrative and survey data. The Senior Manager will lead rigorous statistical analyses and guide statisticians, data analysts, and other professionals; establish and enforce quality control standards, review analytic work produced by project staff, support AI-enabled analytics, and ensure that methods, results, data files, reports, and dissemination products are accurate, reproducible, consistent, timely, and publication-ready.
DUTIES
The Senior Manager of Statistical Analysis and Quality Control will provide senior-level technical leadership across statistical analysis, data processing, reporting, and quality control activities. The Senior Manager will establish QC expectations, direct and conduct independent validation of analyses, serve as a senior technical reviewer, and coordinate analytic work across a fast-paced, complex project. This role requires both hands-on analysis and senior-level oversight, including guiding staff, tracking task status and priorities, resolving data quality and methodology issues, and ensuring that deliverables meet established analytic, reporting, schedule, and QC standards. Specifically:
  • Lead and conduct univariate, bivariate, and multivariate statistical analyses to describe populations, assess relationships, identify trends, and answer research and programmatic questions; provide senior statistical guidance on analytic design and interpretation
  • Formulate and test hypotheses using appropriate inferential statistical methods, including regression-based approaches, analysis of variance, confidence intervals, model diagnostics, sensitivity analyses, and trend analysis, to answer research and programmatic questions; provide senior guidance on analytic design, interpretation, and statistical appropriateness
  • Lead analyses of cross-sectional and longitudinal data, including repeated observations, linked records, and trend data, and review the interpretation of changes in populations and outcomes over time
  • Analyze and oversee analyses of large administrative and survey datasets using population-based statistical methods to produce reliable estimates, rates, proportions, and other measures for reporting and decision-making
  • Use statistical, machine learning, and AI-enabled data analytics techniques to identify patterns, improve analytic workflows, support automated anomaly detection, and solve complex data problems; independently validate AI- and machine-learning-assisted outputs for accuracy, reproducibility, and appropriate interpretation
  • Lead quality control reviews of data files, statistical programs, calculations, tables, figures, and reports; independently reproduce key results, investigate discrepancies, verify analytic logic and assumptions, and work with stakeholders to resolve data quality and methodology issues before release
  • Establish, document, implement, and continuously improve formal quality control procedures, review checklists, issue-resolution processes, and QC documentation for statistical analyses, data processing, and dissemination reports and datasets
  • Lead quality control reviews of data files, statistical programs, calculations, tables, figures, visualizations, dashboards, reports, and technical documentation; independently reproduce key results, verify analytic logic and assumptions, investigate discrepancies, and determine whether products are ready for release
  • Develop and independently review SAS programs for statistical analyses, quality checks, ad hoc data runs, and reproducible analytic workflows; review code prepared by others and use R, Python, STATA, or other tools as appropriate for data manipulation, analysis, visualization, and automation
  • Oversee special data analyses, feasibility studies, data mining and exploration, and ad hoc data requests; prepare or review clear write-ups, tables, figures, summaries, and data products that translate complex findings into simple, actionable information for technical and nontechnical audiences
  • Serve as a senior technical and QC reviewer for analytic data files and documentation, including restricted-use and public-use files, programming specifications, and SAS/ASCII documentation; ensure consistency across data, code, documentation, and dissemination products and escalate unresolved quality concerns to project leadership

MINIMUM QUALIFICATIONS
  • Master's or PhD degree in statistics, biostatistics, epidemiology, public health, population health, data science, quantitative social science, mathematics, or a closely related field, with advanced training in statistical methods
  • At least 10 years of professional experience analyzing, processing, interpreting, reporting, and performing QC on large, complex datasets, including administrative and survey data, with progressively increasing responsibility
  • At least 5 years of experience analyzing and presenting behavioral health data, including substance use and/or mental health data, with demonstrated knowledge of population health, treatment services, or related administrative and survey data
  • Demonstrated experience applying population statistics and advanced univariate and multivariate methods, including descriptive and inferential statistics, hypothesis testing, regression, ANOVA/MANOVA, structural equation modeling, cluster analysis, trend analysis, and cross-sectional and longitudinal approaches
  • At least 8 years of experience using SAS, including SAS/STAT and related tools, to conduct statistical analyses, manage large datasets, develop reproducible code, and perform analytic quality control; experience with R, Python, and/or STATA to manipulate, analyze, visualize, and draw insights from large datasets; experience with AI-enabled data analytics and/or machine learning methods
  • Demonstrated senior-level technical leadership or management experience overseeing statisticians and data analysts, coordinating project tasks and priorities, independently reviewing analysts' work, validating statistical code and results, resolving QC findings, providing technical guidance, and determining whether analytic and reporting products are ready for release
  • Advanced data management, quality control, and reporting skills, including strong Excel capabilities, sound statistical judgment, and experience creating or reviewing data products, visualizations, dashboards, error reports, data audits, and technical documentation; excellent attention to detail
  • Exceptional analytical, problem-solving, technical writing, leadership, and verbal communication skills, including the ability to explain complex data and statistical methods in plain, actionable language, communicate quality concerns clearly, work independently, and collaborate effectively with multidisciplinary teams and stakeholders

PREFERRED QUALIFICATIONS
  • Experience with federal or state administrative and survey data, including complex survey methods, weighting, variance estimation, population-level reporting, and formal quality assurance or quality control of statistical products
  • Experience serving as a senior analyst or QC lead for complex statistical projects, including responsibility for independent review, QC documentation, issue resolution, project coordination, and final technical recommendations on deliverable readiness
  • Experience applying AI-enabled analytics, machine learning, deep learning, or natural language processing to large datasets, including independent evaluation, validation, and quality control of model outputs
  • Five or more peer-reviewed journal articles, technical reports, or other substantial analytic publications
  • Knowledge of data de-identification procedures and best practices for protecting sensitive, confidential, or patient health information
  • Experience with data visualization and reporting tools such as Tableau and SSRS; experience leading or supporting QC reviews of federal statistical reports, data files, or public-facing dissemination products is highly desirable

Salary Range: $140,000 to $155,000 per year
For a complete listing of benefits, please visit our careers page at
Hendall Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

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