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Statistical Analyst Jobs (NOW HIRING)

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Live Statistics Inputter - OPS

Jacksonville, FL

$25/hr

Adhere to NCAA, conference, and institutional statistical guidelines. * Maintain focus and composure in high-pressure, live-event settings. * Assist with post-game stat corrections or uploads as ...

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How much do statistical analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for statistical analyst 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.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but statistical analysts play a crucial role in interpreting complex data, developing models, and making strategic decisions. The role of a statistical analyst involves skills in statistical methods, programming, and critical thinking that are not easily replaced by AI alone.

What does a Statistical Analyst do?

A Statistical Analyst is responsible for collecting, analyzing, and interpreting data to help organizations make informed decisions. They use statistical methods and software to identify trends, patterns, and relationships within large datasets. Their work supports areas such as business strategy, scientific research, healthcare, and government policy. Statistical Analysts often present their findings through reports, visualizations, and presentations to stakeholders. Their insights are crucial for evidence-based planning and problem-solving.

Can I be a data analyst with no experience?

Statistical Analysts often require some background in statistics, data analysis, or related fields, but entry-level positions may be available for those with strong analytical skills and proficiency in tools like Excel or SQL. Gaining relevant certifications or completing online courses can improve chances of starting a career without prior experience.

Is 40 too late for data science?

A statistical analyst or data scientist can start a career at age 40, as many professionals transition into data roles later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with experience and continuous learning.

What are some common challenges Statistical Analysts face when interpreting large datasets, and how can they overcome them?

Statistical Analysts often encounter challenges such as dealing with missing or inconsistent data, managing data from multiple sources, and ensuring that their analyses are not biased by outliers or erroneous entries. To overcome these issues, analysts use data cleaning techniques, robust validation processes, and statistical methods to account for anomalies. Collaborating closely with data engineers and subject matter experts also helps ensure that the data is accurate and relevant, leading to more reliable insights.

What is the difference between Statistical Analyst vs Data Scientist?

AspectStatistical AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related fieldBachelor's or higher in computer science, statistics, or related field; often includes advanced degrees
Work EnvironmentCorporate, finance, healthcare, or government settings focusing on data analysisTech companies, research, and industries requiring complex data modeling
Employer & Industry UsageCommon in finance, healthcare, and marketing sectorsPrevalent in technology, e-commerce, and research sectors

While both roles analyze data, Statistical Analysts primarily focus on interpreting data using statistical methods, often with less emphasis on programming. Data Scientists typically handle larger datasets, develop predictive models, and utilize advanced programming skills. The roles overlap in data analysis but differ in complexity and scope.

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 strong background in statistics, mathematics, and data analysis, usually supported by a relevant degree such as statistics, mathematics, or economics. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools, is typically required. Attention to detail, problem-solving skills, and the ability to communicate complex findings clearly are valuable soft skills in this role. These capabilities are crucial for transforming data into actionable insights that support informed decision-making in organizations.

What Is a Statistical Analyst?

A statistical analyst reviews data and uses models to develop practical solutions to problems. As a statistical analyst, your primary duties involve planning analyses, reviewing collected data, designing statistical models, using statistical analysis software programs, and reporting your findings to your superiors. This job requires a bachelor’s degree in mathematics, computer science, or a related field. Additional qualifications include work experience in an office environment, familiarity with relevant industry computer software, and strong creative thinking abilities. You also need excellent analytical, mathematical, and research skills. You can find statistical analyst positions in a wide variety of industries.

What do statistical analysts do?

Statistical analysts collect, analyze, and interpret data to help organizations make informed decisions. They use statistical software and techniques to identify trends, create reports, and support strategic planning. Strong analytical skills and knowledge of tools like Excel, R, or SAS are essential for this role.
More about Statistical Analyst jobs
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What are the most commonly searched types of Statistical Analyst jobs? The most popular types of Statistical Analyst jobs are:
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Statistical Analyst jobs near you
Infographic showing various Statistical Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% 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 Analyst in Cincinnati, OH (Fulltime only, No C2C)

Northern Base

Cincinnati, OH • On-site

Full-time

Posted 4 days ago

New

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.