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Statistical Analyst Jobs (NOW HIRING)

Northwestern University

Statistical Analyst

Evanston, IL · On-site

$8/hr

Assists in the development of statistical analysis plans. * Manages multiple ongoing projects. * Assists in the development of project analysis milestones and timelines, and ensures timely completion.

American Heart Association

Statistical Analyst

Dallas, TX · On-site +1

$75K - $85K/yr

Conduct statistical analysis using clinical registry and electronic health record (EHR) data to address research questions related to cardiovascular disease. * Collaborate with senior analysts ...

American Heart Association

Statistical Analyst

Dallas, TX · On-site +1

$75K - $85K/yr

Conduct statistical analysis using clinical registry and electronic health record (EHR) data to address research questions related to cardiovascular disease. * Collaborate with senior analysts ...

American Heart Association

Statistical Analyst

Dallas, TX · On-site

$75K - $85K/yr

Conduct statistical analysis using clinical registry and electronic health record (EHR) data to address research questions related to cardiovascular disease. * Collaborate with senior analysts ...

Medpace, Inc.

Statistical Analyst I

Cincinnati, OH · On-site

Write statistical programs for use in creating analysis datasets, tables, listings, and figures; * Review analysis plans for appropriate methods; * Program study analyses and review study results ...

Medpace, Inc.

Statistical Analyst I

Cincinnati, OH

Write statistical programs for use in creating analysis datasets, tables, listings, and figures; * Review analysis plans for appropriate methods; * Program study analyses and review study results ...

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How much do statistical analyst jobs pay per year?

As of Jul 14, 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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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

Statistical Analyst

Northwestern University

Evanston, IL • On-site

$8/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday

Northwestern University rating

7.8

Company rating: 7.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

179th of 553 rated colleges and universities

Job description

Department: MED-Preventive Medicine
Salary/Grade: EXS/8
Job Summary:
The Quantitative Data Sciences Core (QDSC) of the Robert H. Lurie Comprehensive Cancer Center at the Feinberg School of Medicine (FSM) is recruiting a Master's-level statistical analyst to join a highly collegial academic environment in the Division of Biostatistics & Informatics in FSM's Department of Preventive Medicine. This role involves collaborating with cancer research investigators on clinical trials and other clinical, epidemiological, and basic science studies, working under the supervision of Biostatistics faculty members. Duties include managing and analyzing multiple complex datasets; ensuring data integrity, quality, and timeliness of results; developing statistical analysis plans in collaboration with biostatistics faculty; and preparing statistical analysis reports using reproducible pipelines. Level of appointment and responsibilities will be commensurate with experience and education.
Target hiring range for this position will be between $70,017 - $80,000 per year. Offered salary will be determined by the applicant's education, experience, knowledge, skills and abilities, as well as internal equity and alignment with market data.
Specific Responsibilities:
Strategic Planning
  • Manages and plans for data/analysis requests and projects.
  • Provides consultation to customers on appropriate data management, methodological issues and statistical analyses.
  • Assists in the development of statistical analysis plans.
  • Manages multiple ongoing projects.
  • Assists in the development of project analysis milestones and timelines, and ensures timely completion.
  • Collaborates with Quality Assurance Monitoring team and other groups on data collection tool development and other data management activities.
Administration
  • Reviews reports before presentation to ensure quality and accuracy.
  • Develops and maintains documentation of process for quality assurance and reporting methodology
Development
  • Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to complex statistical analysis.
  • Determines data structure for local datasets.
  • Cleans and organizes data in preparation for analysis.
  • Prepares statistical analysis reports, including tables and figures, for meetings with investigators, and for presentations and publications.
  • Develops well-documented code using code style best practices.
  • Prepares structured and well-annotated statistical analysis reports using R and R Markdown.
  • Develops data collection tools independently and in collaboration with other groups.
  • Learns new statistical methods as needed for projects.
Performance
  • Develops and documents standards for data quality and regulatory compliance pertaining to reporting.
  • Ensures quality and compliance by reviewing reports.
  • Performs range, logic and consistency checks, reporting errors when preparing reports.
  • Produces readable well-documented code according to code style best practices.
  • Maintains professional and clear communication style.
  • Adheres to project timelines and deadlines.
Miscellaneous
Performs other duties as assigned.
Minimum Qualifications:
  • Successful completion of a full 4-year course of study in an accredited college or university leading to a bachelor's or higher degree; OR appropriate combination of education and experience.
  • 4 years data analysis/report writing or similar experience required.
Infrastructure
  • High Performance Computing (HPC)
  • Microsoft Office (Word, Excel, Powerpoint, Access, Outlook)
  • Programming Languages and Frameworks
  • Other: R, RStudio, R Markdown
Compliance
  • HIPAA
  • IRB
Analytical
  • critical thinking
  • data mining
  • data modeling
  • database design/ data structure
  • Debugging
  • decision making
  • judgment
  • problem solving
  • Troubleshooting
Project
  • Code documentation
  • collaboration and teamwork
  • organizational skills
  • planning
  • workflow development & documentation
  • write proposals and project charters
Minimum Competencies: (Skills, knowledge, and abilities.)
  • Strong foundational knowledge of statistical methods used in cancer biostatistics.
  • Advanced proficiency in R and R Markdown for data management, analysis, and report generation, including the ability to write clean, well-documented, and reproducible code using the tidyverse and related packages.
  • Clear and effective oral and written communication skills, with the ability to explain statistical results to clinical collaborators.
  • Strong organizational and problem-solving skills with a high level of attention to detail; ability to work independently and manage multiple projects simultaneously.
Preferred Qualifications:
  • Strong foundational knowledge of statistical methods used in cancer biostatistics.
  • Advanced proficiency in R and R Markdown for data management, analysis, and report generation, including the ability to write clean, well-documented, and reproducible code using the tidyverse and related packages.
  • Clear and effective oral and written communication skills, with the ability to explain statistical results to clinical collaborators.
  • Strong organizational and problem-solving skills with a high level of attention to detail; ability to work independently and manage multiple projects simultaneously.
  • Master's degree in Biostatistics or Statistics, or equivalent level of education.
  • Professional experience applying high-level biostatistical methods (e.g. survival analysis, longitudinal modeling, clinical trial analysis) within a collaborative environment.
  • Prior experience in cancer research, including familiarity with early phase clinical trial design and cancer-specific endpoints.
  • Experience with data management, quality control, data cleaning and curation.
  • Proven ability to work independently, manage multiple projects, and meet competing deadlines within a shared resource collaboration model.
Preferred Competencies: (Skills, knowledge, and abilities)
  • Advanced modeling, including knowledge of survival analysis, regression modeling, longitudinal models, and model diagnostics.
  • Familiarity with or interest in propensity score methods, causal inference, and high-dimensional data analysis.
  • Familiarity with exploratory data analysis, and publication-quality data summaries and data visualization.
Benefits:
At Northwestern, we are proud to provide meaningful and competitive benefits. The available benefits package for this position will include health, dental, vision, disability, and life insurance; paid vacation and holidays; paid medical/sick and parental leave; tuition benefits for the employee and dependents; pre-tax and flex spending accounts for commuting and dependent care; generous retirement savings options; and wellness programs. For a comprehensive overview of available benefits, including eligibility details, visit us at https://www.northwestern.edu/hr/benefits/index.html to learn more.
Work-Life and Wellness:
Northwestern offers comprehensive programs and services to help you and your family navigate life's challenges and opportunities, and adopt and maintain healthy lifestyles.
We support flexible work arrangements where possible and programs to help you locate and pay for quality, affordable childcare and senior/adult care. Visit us at https://www.northwestern.edu/hr/benefits/work-life/index.html to learn more.
Professional Growth & Development:
Northwestern supports employee career development in all circumstances whether your workspace is on campus or at home. If you're interested in developing your professional potential or continuing your formal education, we offer a variety of tools and resources. Visit us at https://www.northwestern.edu/hr/learning/index.html to learn more
Northwestern University is an Equal Opportunity Employer and does not discriminate on the basis of protected characteristics, including disability and veteran status. View Northwestern's non-discrimination statement . Job applicants who wish to request an accommodation in the application or hiring process should contact the Office of Civil Rights and Title IX Compliance. View additional information on the accommodations process .

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