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Mathematica

Statistical Analyst (Remote Eligible)

They are seeking a masters-level Statistical Analyst to evaluate and improve social programs and policies, utilizing statistical and quantitative methods under the guidance of senior statisticians.

Peraton

Social Science Statistical Analyst

Tampa, FL · On-site

$112K - $179K/yr

Lead statistical analyses and evaluations of PSYOP/OIE assessment data; implement and validate multivariate models. * Clean, process, manage, and document datasets for operational reporting and ...

Peraton

Social Science Statistical Analyst

Tampa, FL

$112K - $179K/yr

Lead statistical analyses and evaluations of PSYOP/OIE assessment data; implement and validate multivariate models. * Clean, process, manage, and document datasets for operational reporting and ...

DataAnnotation

Statistical Analyst - AI Trainer

Iowa, LA · On-site +1

$40/hr

Responsibilities Evaluate AI-generated quantitative work, including statistical analysis, predictive modeling, scientific reasoning, and data-driven insights, for technical accuracy and real-world ...

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How much do statistical analyst jobs pay per year?

As of Jun 4, 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.

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 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 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 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.

Are statisticians highly paid?

Statisticians, including statistical analysts, tend to earn competitive salaries due to their specialized skills in data analysis, modeling, and statistical software. Salaries vary based on experience, education, industry, and location, but overall, the profession is considered well-compensated compared to many other roles in data and analysis fields.

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.

More about Statistical Analyst jobs
What cities are hiring for Statistical Analyst jobs? Cities with the most Statistical Analyst job openings:
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Statistical Analyst jobs near you
Infographic showing various Statistical Analyst job openings in the United States as of May 2026, with employment types broken down into 89% Full Time, 6% Part Time, 1% Temporary, and 4% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $70,450 per year, or $33.9 per hour.
Statistical Analyst (Remote Eligible)

Statistical Analyst (Remote Eligible)

Mathematica

Remote

Full-time

Posted 28 days ago

Job description

Job Summary:
Mathematica is a company that applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. They are seeking a masters-level Statistical Analyst to evaluate and improve social programs and policies, utilizing statistical and quantitative methods under the guidance of senior statisticians.
Responsibilities:
• Apply statistical and quantitative methods to evaluate and improve social programs and policies, with the oversight of more senior statisticians. Assist in designing rigorous studies, determining appropriate analytic methods, selecting survey samples, calculating nonresponse adjustments, analyzing survey responses, and interpreting findings.
• Write programs to perform all stages of quantitative analysis, including: (1) conduct data extraction, cleaning, and manipulation, (2) apply advanced statistical and quantitative techniques appropriate for both survey and administrative data, and (3) develop programs to calculate descriptive statistics, populate tables, and visualize results.
• Draft sections of reports, including technical appendices, and presentations for colleagues, policymakers and other stakeholders. Communicate findings to internal project teams via memos, presentations, or markdown files.
Qualifications:
Required:
• Master’s degree with quantitative discipline, such as statistics, biostatistics, applied mathematics, quantitative economics, survey methodology, data science, or a related field, or an equivalent combination of education and experience
• Coursework or experience in some of the following statistical and/or quantitative methods: causal inference at both the design (matching or weighting for comparison group selection) and analysis (regression) phases, experimental design, Bayesian inference, hierarchical/multilevel modeling, longitudinal data analysis, performance measurement, SEIR modeling, spatial statistics, small area estimation, survey sampling, non-response weighting, power calculation, and predictive modeling
• Fluency in one or more of the following statistical programming languages: R (preferred), Python, Stan, Julia, Stata, or SAS
• Excellent written and oral communication skills, including an ability to translate statistical methods and findings for a non-technical audience
Preferred:
• Experience contributing to written deliverables, such as proposals, technical reports, or academic manuscripts
• Background or interest in social policy research and a focus on health policy research
Company:
Mathematica provides research and technical assistance support services and products for evidence and program management for their partners. Founded in 1968, the company is headquartered in Princeton, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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