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Remote Data Analyst Jobs in Virginia (NOW HIRING)

Data Reporting Analyst/Developer Remote (Greater Richmond Area, VA) with occasional onsite presence as needed Contract Length: 1 Year We are seeking an experienced Data Reporting Analyst/Developer ...

Data Reporting Analyst/Developer Remote (Greater Richmond Area, VA) with occasional onsite presence as needed Contract Length: 1 Year We are seeking an experienced Data Reporting Analyst/Developer ...

ICF is seeking an experienced Data Analytics Manager to lead enterprise data, analytics, governance ... This position is remote within the United States. Please note that ICF monitors employee work ...

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... Ensure data quality and integrity across all analytical processes. Business Intelligence ...

Provide consulting relating to the data mining and analysis of data from a range of sources to ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Provide consulting relating to the data mining and analysis of data from a range of sources to ... Washington DC Metro Area - Remote (candidates MUST BE located in the National Capital Region - DMV ...

Showing results 41-60

Remote Data Analyst information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do remote data analyst jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote data analyst in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What does a remote data analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What does a remote data analyst do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the key skills and qualifications needed to thrive as a remote data analyst?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

How do remote data analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

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

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Are remote data analyst jobs still in demand?

Remote data analyst jobs remain in high demand due to the increasing reliance on data-driven decision making across industries. Skills in data visualization, SQL, and statistical analysis are particularly valuable, and many companies continue to expand their remote analytics teams to access a broader talent pool.

Can I get remote jobs as a remote data analyst?

Remote data analyst positions are widely available and often require skills in data analysis tools like Excel, SQL, and Python. Many companies offer remote roles with flexible schedules, and candidates typically need a strong analytical background and good communication skills.

Can you work remotely as a remote data analyst?

Remote data analysts can often work from home or other locations, depending on the employer’s policies. Many companies offer remote positions that require skills in data analysis tools like Excel, SQL, or Python, and a reliable internet connection. Availability of remote work varies by organization and role requirements.

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

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

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

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

What cities in Virginia are hiring for Remote Data Analyst jobs?

Cities in Virginia with the most Remote Data Analyst job openings:

Infographic showing various Remote Data Analyst job openings in Virginia as of September 2026, with employment types broken down into 90% Full Time, 5% Part Time, 2% Temporary, and 3% Contract. Highlights an 100% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Senior Metric and Data Analyst (Navy)

Chesapeake, VA • Remote

Sawdey Solution Services
Guided Missile and Space Vehicle Manufacturing • 201 - 500 employees

$83K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Pay Rate:

The annual base salary range for this position is TBD. Please note that the salary information is a general guideline only. At Sawdey Solution Services, we recognize that attracting the best talent is key to our strategy and success as a company. We will consider several factors when extending an offer to an applicant. These factors include (but are not limited to) the position, associated responsibilities, work experience, education, related training, and related skills.

Position Location: Naval Station Norfolk, VA (On-Site)

Telework/Work-from-Home Authorized: No

About the Role:
The Senior Metrics and Data Analyst provides advanced analytical, data science, and decision-support services to Commander, Naval Surface Force Atlantic (COMNAVSURFLANT) in support of Force Generation readiness. This position analyzes complex readiness information across the Personnel, Equipment, Supply, Training, Ordnance, Networks, and Infrastructure (PESTONI) pillars to identify trends, gaps, risks, and opportunities to improve Surface Force readiness.

The Senior Metrics and Data Analyst will work with authoritative Navy data sources, develop and apply predictive analytics and machine-learning models, build data visualizations and analytical products, and translate complex data into actionable recommendations for senior Navy leadership.

Additional Responsibilities Include, but are not Limited To:

  • Analyze Surface Force readiness data and metrics across the PESTONI pillars to identify trends, systemic gaps, readiness drivers, risks, and opportunities for improvement.
  • Collect, integrate, validate, manage, and interpret data from authoritative Navy and Department of Defense sources.
  • Develop and maintain databases, analytical datasets, metrics, models, and reporting structures supporting Force Generation analysis.
  • Develop and apply predictive analytics, machine-learning models, and AI-driven analytical techniques to complex defense and readiness problems.
  • Use statistical analysis and data science methodologies to identify relationships, leading indicators, and factors affecting Surface Force operational readiness.
  • Use analytical tools and programming languages such as Python and R to perform statistical analysis and build operational and financial risk models.
  • Support development of predictive readiness models designed to forecast readiness degradation and improve operational availability.
  • Develop dashboards, data visualizations, reports, and executive-level analytical products to support Government and Flag-level decision-making.
  • Support development of Analyses of Alternatives, Business Case Analyses, monitoring frameworks, readiness assessments, and other data-driven studies.
  • Evaluate Surface Force business practices, primary and secondary data sources, data gaps, and existing analytical capabilities and recommend improvements.
  • Develop and recommend new metrics, data models, and leading indicators to improve the Government's ability to monitor and forecast readiness.
  • Translate complex quantitative findings into clear, actionable recommendations for senior leaders and operational stakeholders.
  • Participate in technical exchange meetings, analytical working groups, deep-dive sessions, and senior-level readiness reviews.
  • Collaborate with Government personnel, operational subject matter experts, and other analysts to ensure analytical products accurately reflect Navy operational requirements.
  • Maintain required training, credentials, and qualifications and comply with Government and company policies and procedures.
  • Perform other duties, as assigned.

Experience Requirements:

  • Experience in the United States Navy as a Post-Command Commander afloat or equivalent.
  • Minimum of five (5) years of experience on an Echelon 3 or higher staff.
  • Minimum of five (5) years of experience in database design and management.
  • Minimum of five (5) years of experience conducting data analysis for complex projects.
  • Experience analyzing metrics associated with the PESTONI readiness pillars.
  • Ability to develop a comprehensive understanding of Surface Force business practices, primary and secondary data sources, data gaps, and existing analytical capabilities.
  • Demonstrated experience developing and applying machine-learning models, predictive analytics, and AI-driven data interpretation to complex defense problems.
  • Demonstrated proficiency using modern data analytics platforms and programming languages, such as Python and R, to conduct statistical analysis and develop financial and operational risk models.
  • Experience producing executive-level analytical products, reports, and data visualizations.
  • Highly proficient with Microsoft Office applications, particularly Access, Excel, and PowerPoint.

Education Requirements:

  • Master’s degree or higher from an accredited college or university.
  • A degree in an analytics, computer science, data science, or related technical field is highly desired.

Other Required Skills & Abilities:

  • Strong analytical and critical-thinking skills with the ability to interpret complex operational and quantitative information.
  • Ability to clearly communicate analytical findings and recommendations to Government personnel and senior leadership.
  • Ability to develop professional executive-level reports, presentations, visualizations, and briefing materials. Must be able to effectively communicate with customer and fulfill all duties and responsibilities as listed in the contract.
  • Must be proficient in Microsoft Office suite including, but not limited to: Word, PowerPoint, Excel, and Outlook.

Security Clearance Requirements:
 Secret Clearance

US Citizenship Requirements:

This position supports a U.S. Government Contract whose terms require Sawdey Solution Services to staff it only with U.S. Citizens.

Benefits at Sawdey Solution Services:

At Sawdey Solution Services, we offer an extensive benefits package. Our employee-focused benefits for full-time employees include:

  • Vibrant Company Culture: Become an integral part of our positive, encouraging, and uplifting team culture; we are all on this mission together!
  • Healthy Work-Life Balance: We place a strong emphasis on work-life balance; we don’t just ‘talk the talk’ in terms of work-life balance, we ‘walk the walk’! We not only support, but highly encourage, prioritizing your health and well-being.
  • Competitive Compensation Package: Competitive rates with comprehensive medical, dental, and vision benefits for you, your spouse, and your dependents.
    • Health Saving Account (HSA) with employer contributions.
    • Dependent-care Flexible Spending Account (FSA).
    • Competitive Paid Time Off (PTO) and Federal Holiday Observance.
    • Immediately vested 401 (k) with employer matching.
    • Employee Assistance Program (EAP).
    • Employee Referral program with compensated referrals!
    • Additional benefits offered.
  • Grow With Us: We offer a paid Training and Tuition reimbursement program to help you advance and excel in your career. We prioritize internal promotions and success.