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Statistical Analyst Remote Jobs (NOW HIRING)

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.

Statistical Analyst

Dallas, TX ยท 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 ...

Remote Department: Employment and Litigation Services (ELS) Experience Level: Mid-level (minimum 3 ... Support statistical analyses to inform compensation design decisions * Help ensure compliance with ...

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Statistical Analyst Remote information

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How much do statistical analyst remote jobs pay per year?

As of Jun 21, 2026, the average yearly pay for statistical analyst remote 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 are the key skills and qualifications needed to thrive as a Statistical Analyst in a remote role, and why are they important?

To thrive as a Statistical Analyst in a remote role, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, statistics, or data science. Familiarity with statistical software like R, SAS, Python, and experience with data visualization tools and databases are highly valued, along with certifications such as SAS Certified Statistical Business Analyst. Strong problem-solving skills, attention to detail, and effective written and verbal communication are essential for collaborating virtually and presenting insights. These skills and qualities are crucial to accurately interpret data, provide actionable recommendations, and ensure seamless teamwork in a remote environment.

What are some typical challenges faced by remote statistical analysts, and how can they be addressed?

Remote statistical analysts often encounter challenges such as limited face-to-face collaboration, maintaining data security, and ensuring clear communication with cross-functional teams. To address these issues, it's important to leverage secure data-sharing platforms, establish regular check-ins with colleagues, and use collaboration tools to stay connected. Building strong relationships with team members and proactively clarifying project requirements can also help ensure smooth workflow and project success.

What does a Statistical Analyst do when working remotely?

A Statistical Analyst working remotely uses statistical methods and software to collect, analyze, and interpret data from various sources. They often work with large datasets to identify trends, create reports, and support decision-making for organizations. Remote Statistical Analysts collaborate with teams through digital communication tools, ensuring that insights are effectively communicated even when not on-site. Their responsibilities may include designing experiments, validating data quality, and presenting findings to stakeholders.

What is the difference between Statistical Analyst Remote vs Data Analyst Remote?

AspectStatistical Analyst RemoteData Analyst Remote
Required CredentialsBachelor's in Statistics, Mathematics, or related field; proficiency in statistical softwareBachelor's in Data Science, Analytics, or related; strong Excel and SQL skills
Work EnvironmentRemote, often collaborative with teams on data modeling and analysisRemote, focused on data collection, cleaning, and reporting
Employer & Industry UsageFinancial, healthcare, research institutionsMarketing, e-commerce, tech companies
Common Search & ComparisonYesYes

Both roles involve analyzing data, but Statistical Analysts focus more on advanced statistical modeling and hypothesis testing, often requiring specialized statistical software. Data Analysts typically handle data collection, cleaning, and reporting, with a broader focus on business insights. While both can be remote, their industry applications and skill sets differ slightly, making this comparison useful for job seekers evaluating similar remote roles.

More about Statistical Analyst Remote jobs
What cities are hiring for Statistical Analyst Remote jobs? Cities with the most Statistical Analyst Remote job openings:
What are the most commonly searched types of Statistical Analyst jobs? The most popular types of Statistical Analyst jobs are:
What states have the most Statistical Analyst Remote jobs? States with the most job openings for Statistical Analyst Remote jobs include:
Infographic showing various Statistical Analyst Remote job openings in the United States as of June 2026, with employment types broken down into 2% Locum Tenens, 70% Full Time, 8% Part Time, and 20% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% 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

Chicago, IL โ€ข On-site, Remote

$70K - $90K/yr

Full-time

Posted 17 days ago


Job description

Statistical Analyst (Remote Eligible)
About Mathematica:
Mathematica applies expertise at the intersection of data, methods, policy, and practice to improve well-being around the world. We collaborate closely with public- and private-sector partners to translate big questions into deep insights that improve programs, refine strategies, and enhance understanding using data science and analytics. Our work yields actionable information to guide decisions in wide-ranging policy areas, from health, education, early childhood, and family support to nutrition, employment, disability, and international development.
Mathematica offers our employees competitive salaries and a comprehensive benefits package, as well as the advantages of being 100 percent employee owned. As an employee stock owner, you will experience financial benefits of ESOP holdings that have increased in tandem with the company's growth and financial strength. You will also be part of an independent, employee-owned firm that is able to define and further our mission, enhance our quality and accountability, and steadily grow our financial strength.
Read more about our benefits here: Benefits at a Glance.
At Mathematica, we take pride in our commitment to diversity. Building an inclusive culture that draws on the individual strengths of employees from different ethnic backgrounds, cultures, lifestyles, abilities, and experience is key to our success.
We are seeking a masters-level Statistical Analyst to join our vibrant group of over 20 statisticians and data scientists. The contributions of our statisticians and statistical analysts underpin our ability to produce crucial evidence for policy and decision makers, ultimately furthering our mission to improve public well-being. For example, our statistical analysts have contributed to projects developing COVID-19 decision tools, extending state-of-the-art methods for identifying treatment effect heterogeneity to enhance primary care delivery, and leveraging Bayesian factorial design to improve the presentation of school choice information to low-income parents.
As part of their employment, statistical analysts benefit from the mentorship of more senior statisticians and subject-matter experts, learning new techniques and familiarizing themselves with new topic areas through involvement in analyses.
Responsibilities:
Analysis:
  • 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.

Programming:
  • 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.

Communication:
  • 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.

Required Qualifications:
  • 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

This position offers an anticipated annual base salary range of $70,000 to $90,000.
To apply, please submit cover letter, resume, location preferences, salary requirements, and code samples via our careers page. Please include a code sample (or two or three) which best represents your programming skills, preferably in R. If you include a GitHub, please call out the specific samples you want to highlight. If you do not have code available in these preferred languages, please send a code sample in an alternate language.
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, age, national origin, religion, orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.
At Mathematica, we understand the importance of building relationships with colleagues. If you're not located near one of our offices but would like opportunities to meet up with co-workers, we offer coworking spaces where available. Ask your Talent Acquisition partner for more information about this opportunity and whether it's an option in your area.
Any offer of employment will be contingent upon passing a background check. Various federal agencies with whom we contract require that staff successfully undergo security clearance as a condition of working on the project. If you are assigned to such a project, you will be required to obtain the requisite security clearance. Additionally, if you participate in or complete the application process and are denied, Mathematica may choose to terminate your employment.
We take pride in our employees and in their commitment to excellence. We encourage staff to collaborate in developing creative solutions to difficult problems and to share the responsibility and enjoyment of carrying out complex projects. This collegial spirit has helped us earn our reputation for innovative and high-quality work.