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Statistical Analysis Software Jobs (NOW HIRING)

61 Premier Research Poland Sp. z.o.o

NY · On-site

$125 - $150/hr

Identify risks related to study design, sample size, or analysis approaches and proactively propose ... Strong computer skills, with knowledge of advanced programming skills with standard software ...

Perr&Knight

Statistical Analyst

FL · Remote

$66K - $72K/yr

... analysis reports for clients * Assisting in consultations with clients which incudes providing ... Software includes StateFilings.com, the leading cloud-based state filings management solution. With ...

Perr&Knight

Statistical Analyst

$66K - $72K/yr

... analysis reports for clients * Assisting in consultations with clients which incudes providing ... Software includes StateFilings.com, the leading cloud-based state filings management solution. With ...

Premier Research

Statistical Scientist Director

$186K/yr

Statistical sections of protocols, Statistical Analysis Plans (SAPs), Randomization specifications ... Strong computer skills, with knowledge of advanced programming skills with standard software ...

SimIS

Data Collector/Analyst (DHS)

Suffolk, VA · On-site

Statistical analysis software proficiency (R, SPSS, SAS, or equivalent) * Data visualization and reporting tools expertise * Understanding of surveillance system data types and formats * Knowledge of ...

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Statistical Analysis Software information

What is statistical analysis software?

Statistical Analysis Software refers to specialized computer programs designed to collect, organize, analyze, and interpret large sets of data using statistical methods. These tools help users perform complex calculations, visualize data trends, and generate reports for research, business, or academic purposes. Popular examples include SAS, SPSS, R, and Stata. Such software is widely used by statisticians, data analysts, researchers, and organizations to make data-driven decisions and uncover insights from raw data.

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

To thrive as a Statistical Analysis Software Specialist, you need strong statistical knowledge, data analysis expertise, and a relevant degree in statistics, mathematics, or a related field. Proficiency in tools such as SAS, SPSS, R, or Python and experience with data visualization platforms are typically required, along with any relevant certifications. Analytical thinking, attention to detail, and effective communication skills help specialists interpret data and explain complex findings to stakeholders. These skills ensure accurate data-driven insights and support sound decision-making within organizations.

What are some common challenges faced by professionals using statistical analysis software, and how can they overcome them?

Professionals working with Statistical Analysis Software often encounter challenges such as managing large and complex datasets, ensuring data accuracy, and staying updated with evolving software features. To overcome these, it's important to have strong data management practices, continuously develop technical skills through training, and actively participate in user communities or forums to keep abreast of best practices and troubleshooting tips. Collaborating with colleagues on code review and analysis strategies also helps minimize errors and improves overall efficiency.

What is the difference between Statistical Analysis Software vs Data Analyst?

AspectStatistical Analysis SoftwareData Analyst
CredentialsProficiency in software tools, often with degrees in statistics or related fieldsBachelor's degree in statistics, data science, or related fields
Work EnvironmentUsed by statisticians, data scientists, and analysts in various industriesWorks in business, finance, healthcare, and tech sectors analyzing data
UsageTools like R, SAS, SPSS for data analysis and modelingInterprets data, creates reports, and supports decision-making

Statistical Analysis Software refers to specialized tools used for data analysis, while Data Analysts are professionals who utilize these tools to interpret data and inform business decisions. Both roles often overlap, but the software is a technical resource, whereas the analyst applies it in practical contexts.

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What job categories do people searching Statistical Analysis Software jobs look for?

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What other helpful pages are available for Statistical Analysis Software?

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Statistical Analysis Software jobs near you
Infographic showing various Statistical Analysis Software job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 88% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution.

Statistical Analyst in Cincinnati, OH (Fulltime only, No C2C)

Cincinnati, OH • On-site

Northern Base
See more jobs at Northern Baseexternal

Full-time

Re-posted 19 hours ago

Job description

Senior Statistical Analyst
Cincinnati, OH
Fulltime
 
Required Skillsets:
Proficiency in SAS / R programming languages to Program and validate ADaM, TFL and statistical analyses
Proficiency in using statistical software and programming tools
Understanding of statistical methods, data analysis techniques, and clinical research processes.
Advance knowledge of CDISC standards and therapeutic area (Oncology, Immunology, Neuroscience etc.)
Strong attention to detail and quality Focus
Problem-solving skills (Ability to identify and troubleshoot programming issues) 
Effective communication skills (both written and verbal)
Ability to interact professionally with statisticians, study teams, and external partners
Ability to work collaboratively in a team environment and adapt to changing priorities and deadlines.
 
Key Responsibilities:
1. Collaborate with statisticians to develop, review, and approve Statistical Programming Plans (SPP).  Implement Statistical Analysis Plans (SAP) and SPP to create ADaM data specifications.
2. Program and validate ADaM and statistical analyses using programming languages (e.g., SAS, R), ensuring adherence to established standards and guidelines.
3. Generate tables, listings, and figures (TLFs) for clinical study reports, safety reports, and other deliverables, ensuring accuracy, consistency, and adherence to regulatory requirements.
4. Develop and maintain programming documentation, such as annotated program code, programming specifications, and validation plans.
5. Perform quality control checks on statistical programming deliverables to ensure accuracy, consistency, and adherence to programming standards.
6. Collaborate with cross-functional teams to support ad hoc data analyses, data visualization, and exploratory analyses as needed.
7. Ability to lead the development and implementation of standard programming macros, utilities, and tools to improve efficiency and consistency in programming tasks.
8. Stay updated with industry best practices, regulatory guidelines, and emerging technologies in statistical programming and data analysis.
9. Lead the planning and execution of statistical programming-related audits, inspections, and regulatory submissions, ensuring compliance with relevant regulations and guidelines.
10. Collaborate with statisticians and study teams to provide programming support, address data-related queries, and contribute to study-related publications.
11. Performs assigned task(s) in accordance with customer requirements within agreed timelines and Quality.
12. Escalates unresolved issues appropriately to Team Lead /Project Lead. Tracks and follows up on all issues raised. Provides timely status updates. Proactively highlight risk.
13. Coach/Mentor/Train new team members and line function as per requirement.