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Remote Quantitative Data Analyst Jobs in Virginia

Capital One

Principal Data Analyst

Richmond, VA · On-site +1

$105K - $160K/yr

... quantitative field and 5 years of experience in performing data analytics. In lieu of a bachelor ... or foreign equivalent degree in the aforementioned fields and 5 years of experience as stated ...

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 ...

Trilogy Federal

Informatics Program Analyst

Arlington, VA · On-site +1

$90K - $104K/yr

Collect, validate, manipulate, and analyze qualitative and quantitative data to support program evaluation and decision-making. * Develop metrics, reports, dashboards, and other analyses to ...

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Remote Quantitative Data Analyst information

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 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 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.

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 Analyst (Mid-Level) (0045)

OCT Consulting, LLC

Arlington, VA • On-site, Remote

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 24 days ago

Job description

OCT Consulting is a business management and technology consulting firm that supports Federal Government clients. We provide consulting services in the areas of Strategy, Process Improvement, Change Management, Program and Project Management, Acquisition/Procurement, and Information Technology.
Responsibilities and Duties
OCT currently has an opening for a Data Analyst to work with our federal client.
Day to day responsibilities include:
  • Optimize business rules for the eVetting process (such as Tier 3 initial and preliminary investigations) to safely increase automated pass rates and reduce manual reviews, supporting Trusted Workforce 2.0 objectives.
  • Analyze investigation and adjudication data, as well as rule test results, to identify bottlenecks in current automated systems.
  • Conduct comprehensive quantitative, qualitative, and Natural Language Processing (NLP) analysis on unclassified, PII-free data to find the root causes of low automated pass rates.
  • Interview personnel performing manual interim determinations to understand decision-making processes and capture qualitative operational insights.
  • Develop actionable written recommendations to modify eVetting business rules to improve efficiency without compromising security standards.
  • Perform trending analysis to identify shifts in adjudication policy and evaluate the significance of specific data fields (e.g., "Easy Label").
  • Recommend opportunities for data enrichment by integrating additional data sources, such as final adjudication outcomes or mitigating applicant information.
  • Investigate the use of advanced analytical techniques to create predictive and prescriptive insights, including predictive risk models and network analysis to visualize connections.
  • Communicate, coordinate, collaborate, and liaise with user representatives, program sponsors, mission partners, and other client elements.

Requirements
  • Citizenship: Must be a U.S. Person/Citizen.
  • Education: A Bachelor's degree in Data Science, Statistics, Computer Science, Operations Research, or a related field is required.
  • Experience: At least five (5) years of progressive experience in data analysis.
  • Technical Skills: Demonstrated expertise in quantitative, qualitative, and Natural Language Processing (NLP) techniques. Familiarity with predictive risk modeling and network analysis is highly desired.
  • Clearance Requirements: Must possess and maintain a Secret security clearance/eligibility (favorably adjudicated T3 or T3R), though the day-to-day analytical work will be performed on unclassified data containing no Personally Identifiable Information (PII).

Benefits
OCT offers competitive compensation packages and a full suite of benefits which includes:
  • Medical, Dental, and Vision insurance
  • Retirement savings 401K plan provided by an industry leading provider with 3% employer contributions of the employee's gross salary
  • Paid Time Off and Standard Government Holidays
  • Life Insurance, Short- and Long-Term disability benefits
  • Training Benefits

Salary Range: $90,000- $120,000 yearly commensurate with experience, education, etc.
About OCT Consulting
OCT Consulting LLC is a Small Business (SB) providing professional services and information technology solutions to the Federal government and commercial clients. Founded in 2013, we bring the agility of operations and a management team with a track record of leading successful engagements at major Federal government agencies.
At OCT we believe in creating a work environment where employees can thrive based on their abilities, skills, and achievements. We are dedicated to providing career growth and professional development based on individual merit and fostering a workplace where everyone's contributions are valued and recognized.

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