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Statistical Analyst Remote Jobs in Washington, DC

DCI Consulting

Compensation Analyst - Remote

Washington, DC · Remote

$75K - $90K/yr

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 ...

kgs

Data & Metrics Analyst (REMOTE)

Chantilly, VA · Remote

... Statistics, or a related field from an accredited college or university. * Minimum of 5 years of ... Strong analytical skills with demonstrated experience conducting trend analysis, gap analysis, and ...

micro1 AI

Director of Biostatistics

Alexandria, VA · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

micro1 AI

Director of Biostatistics

Washington, DC · Remote

$60 - $65/hr

Remote micro1 is engaging Biostatisticians to contribute their clinical statistics expertise to a ... p-values, analysis populations, and missing data handling in alignment with the statistical ...

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All JobsStatistical Analyst JobsStatistical Analyst Remote JobsStatistical Analyst Remote Jobs in Washington, DC

Statistical Analyst Remote information

See Washington, DC salary details

$34K

$79.8K

$133.1K

How much do statistical analyst remote jobs pay per year?

As of Aug 10, 2026, the average yearly pay for statistical analyst remote in Washington, DC is $79,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $91,700.00 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?

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.

What are the most commonly searched types of Statistical Analyst jobs in Washington, DC? The most popular types of Statistical Analyst jobs in Washington, DC are:
What are popular job titles related to Statistical Analyst Remote jobs in Washington, DC? For Statistical Analyst Remote jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Statistical Analyst Remote jobs in Washington, DC look for? The top searched job categories for Statistical Analyst Remote jobs in Washington, DC are:
Statistical Analyst Remote jobs near you
Infographic showing various Statistical Analyst Remote job openings in Washington, DC as of August 2026, with employment types broken down into 85% Full Time, 7% Part Time, 1% Temporary, and 7% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $79,792 per year, or $38.4 per hour.

Statistical Analyst, Education & Employment (Remote Eligible)

Mathematica

Washington, DC • On-site, Remote

Full-time

Re-posted 22 days ago

Job description

Mathematicaapplies expertise at the intersection of data, methods, policy, and practice toimprove well-being around the world. We collaborate closely with public- andprivate-sector partners to translate big questions into deep insights thatimprove programs, refine strategies, and enhance understanding. Our work yieldsactionable information to guide decisions in wide-ranging policy areas, fromhealth, education, early childhood, and family support to nutrition,employment, disability, and international development. Mathematica offers ouremployees competitive salaries, and a comprehensive benefits package, as wellas the advantages of being 100 percent employee owned. As an employee stockowner, you will experience financial benefits of ESOP holdings that haveincreased in tandem with the company's growth and financial strength. You willalso be part of an independent, employee-owned firm that is able to define andfurther our mission, enhance our quality and accountability, and steadily growour financial strength. Learn more about our benefits here: https://www.mathematica.org/career-opportunities/benefits-at-a-glance
We are seeking a masters-level Statistical Analyst to joinour vibrant group of over 20 statisticians and data scientists. Thecontributions of our statisticians and statistical analysts underpin ourability to produce crucial evidence for policy and decision makers, ultimatelyfurthering our mission to improve public well-being. For example, ourstatistical analysts have contributed to projects developing COVID-19 decisiontools, extending state-of-the-art methods for identifying treatment effectheterogeneity to enhance primary care delivery, and leveraging Bayesianfactorial design to improve the presentation of school choice information tolow-income parents.

Statistical Analysts will support projects within our Education & Employment(EE) portfolios.

As part of their employment, statistical analysts benefit from thementorship of more senior statisticians and subject-matter experts, learningnew techniques and familiarizing themselves with new topic areas throughinvolvement 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.

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