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Remote Quantitative Data Analyst Jobs in Virginia

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Develop quantitative simulations and models to provide descriptive and predictive analytics ...

Elder Research

Data Scientist (Remote)

Arlington, VA · On-site +1

Data Scientist Workplace: Washington DC Metro Area - Remote (candidates MUST BE located in the ... Develop quantitative simulations and models to provide descriptive and predictive analytics ...

Maximus

Data Scientist II (Remote)

VA · On-site +1

This role applies advanced analytics and research methods to help improve the short- and long-term ... Minimum Requirements: -Master's degree in quantitative science, social science, or a related ...

USAA

Decision Science Analyst Senior

Chesapeake, VA · On-site +1

$85K - $113K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Data Science or other quantitative discipline; OR 4 years of related experience in statistics ...

USAA

Decision Science Analyst Senior

Chesapeake, VA · On-site +1

$85K - $113K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Data Science or other quantitative discipline; OR 4 years of related experience in statistics ...

Maximus

Data Scientist (Remote)

VA · On-site +1

This position applies advanced analytics, statistical methods, and data visualization to improve ... applying quantitative research in optimizing human decisions using technologies like machine ...

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All JobsQuantitative Data Analyst JobsRemote Quantitative Data Analyst JobsRemote Quantitative Data Analyst Jobs in Virginia

Remote Quantitative Data Analyst information

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

Remote Quantitative Data Analysts often encounter challenges such as aligning with distributed teams across different time zones and maintaining clear communication about project goals and data findings. To address these, it's important to leverage collaboration tools, establish regular check-ins, and document analysis steps thoroughly. Additionally, managing large data sets remotely requires reliable access to secure data storage and processing platforms. Building strong relationships with team members and staying proactive in communication can help ensure smooth workflow and minimize misunderstandings.

What is a remote quantitative data analyst?

A Remote Quantitative Data Analyst is a professional who works from a location outside of a traditional office to collect, analyze, and interpret numerical data in order to help organizations make informed decisions. They use statistical techniques, mathematical models, and data visualization tools to identify trends, patterns, and insights from large datasets. Working remotely, they often collaborate with team members and stakeholders through digital communication platforms. Their work is crucial in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are essential. Remote Quantitative Data Analysts must possess strong analytical skills, proficiency in statistical software, and the ability to communicate complex data findings clearly.

What are the key skills and qualifications needed to thrive as a remote quantitative data analyst, and why are they important?

To thrive as a Remote Quantitative Data Analyst, you need strong statistical analysis, data interpretation, and problem-solving skills, usually supported by a degree in mathematics, statistics, economics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with experience using statistical modeling systems, is critical. Strong attention to detail, self-motivation, and effective communication are essential soft skills for collaborating remotely and presenting insights clearly. These abilities enable accurate data-driven decision-making, foster remote teamwork, and ensure the delivery of valuable analytical insights.

Is it possible to work remotely as a remote quantitative data analyst?

Yes, remote quantitative data analyst positions are common and often involve analyzing large datasets, using tools like SQL, Python, or R. Many companies offer remote roles with flexible schedules, requiring strong analytical skills and experience with data visualization and statistical methods.

What is the difference between Remote Quantitative Data Analyst vs Remote Data Scientist?

AspectRemote Quantitative Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysis toolsBachelor's or higher in Computer Science, Statistics, or related; often advanced certifications or degrees
Work EnvironmentPrimarily in data analysis teams within finance, marketing, or healthcare sectorsInvolves data modeling, machine learning, and software development in tech or research firms
Employer & Industry UsageUsed across finance, healthcare, marketing, and consulting firmsCommon in tech, research institutions, and large corporations

While both roles involve working with data, Remote Quantitative Data Analysts focus on analyzing and interpreting data sets to inform decisions, whereas Remote Data Scientists develop models and algorithms to extract insights, often requiring more advanced programming and machine learning skills.

What are the most commonly searched types of Quantitative Data Analyst jobs in Virginia?

The most popular types of Quantitative Data Analyst jobs in Virginia are:

What are popular job titles related to Remote Quantitative Data Analyst jobs in Virginia?

For Remote Quantitative Data Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Remote Quantitative Data Analyst jobs in Virginia look for?

The top searched job categories for Remote Quantitative Data Analyst jobs in Virginia are:

Remote Quantitative Data Analyst jobs near you
Infographic showing various Remote Quantitative Data Analyst job openings in Virginia as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.

Data Scientists and Data Analysts - Future Consideration

Analytic Services Inc

Arlington, VA • On-site, Remote

Full-time

Re-posted 26 days ago

Job description

Interested in joining ANSER as a Data Scientist or Data Analyst, but don't see a current opening that matches your experience?

We'd still love to connect with you! Please send us your resume, and we'll keep your information on file for future opportunities that align with your background and skills.

As a Data Scientist or Data Analyst at ANSER, you'll work alongside multidisciplinary teams to analyze complex datasets, generate actionable insights, and support mission-critical decisions for government clients, internal stakeholders, and external partners.

Most roles are based in the greater Northern Virginia and Washington, D.C. area and require on-site work five days a week. Some positions may offer hybrid or remote options, but this is determined case by case and is not typical for most roles.

General Day-to-Day Responsibilities:

  • Collect, clean, and analyze large datasets to support program objectives and strategic decision-making.
  • Design and build data models, visualizations, and dashboards to communicate insights clearly to technical and non-technical audiences.
  • Conduct statistical analyses, forecasting, and predictive modeling to identify trends and inform policy or operational recommendations.
  • Collaborate with subject matter experts (SMEs), engineers, and analysts to understand data needs and develop tailored solutions.
  • Present findings through briefings, technical reports, or presentations to leadership and government stakeholders.
  • Ensure the accuracy, integrity, and security of data throughout the analysis process.
  • Stay current with industry trends and tools in data science, analytics, and emerging technologies.
  • Provide data subject matter expertise to senior stakeholders on data governance and policy related to data usage, technology and integration.

General Required Qualifications:

  • Minimum of bachelor's degree in data science, Statistics, Computer Science, Mathematics, or a related field.  Master's degree is required for senior level roles.
  • 3+ years of experience in data analysis or data science, ideally in support of government, defense, or intelligence programs.
  • Proficiency in data analysis and visualization tools such as Python, R, SQL, Tableau, or Power BI.
  • Experience working with large and complex datasets from multiple sources.
  • Strong problem-solving skills and the ability to communicate complex information clearly and concisely.
  • Knowledge of statistical methods, machine learning techniques, or data modeling frameworks.
  • Ability to manage multiple priorities in a fast-paced, mission-focused environment.
  • Active security clearance or the ability to obtain one may be required depending on the position.
  • Prior experience and knowledge of defense agencies and their technology policies.

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