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Remote Data Analyst Jobs in Virginia (NOW HIRING)

Fully Remote, MUST live in Virginia Data Reporting Analyst/Developer The Data Reporting Analyst/Developer is a key member of the Information Technology team, specializing in data analysis, reporting ...

Sr. Data Analyst (part-time, hybrid)

Arlington, VA · On-site +1

$98K - $124K/yr

Tier One Technologies is looking for a Data Analyst for our direct US Government client. * This part-time (10-20 hours a week) hybrid position will be located in Arlington, VA. * Must be a US Citizen.

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 ...

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 ...

Data Scientist

Springfield, VA · Remote

$120K - $160K/yr

TS/SCI with Poly Potential for Remote Work: ORA_ON_SITE Description The Data Scientist will apply their technical and analytical capabilities to support key business and security objectives. This ...

Data Analysis and Insight: 30% * Conduct in-depth data analysis and experimentation to uncover ... Onsite or remote: 60% onsite * Vision: Daily be able to see and read computer screen and other ...

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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 Jul 17, 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.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

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.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

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 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 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.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

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 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 July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.
Data Reporting Analyst

Data Reporting Analyst

ASCENDING LLC

Richmond, VA • On-site, Remote

Contractor

Posted 7 days ago


Job description

Location: Fully Remote, MUST live in Virginia
Data Reporting Analyst/Developer

The Data Reporting Analyst/Developer is a key member of the Information Technology team, specializing in data analysis, reporting, and visualization across multiple business units. This role involves designing, developing, and maintaining reporting solutions using advanced data analytics platforms and visualization tools.
The ideal candidate will collaborate with business leaders, engineers, analysts, and subject matter experts to understand reporting needs, enhance legacy reporting, and improve deployment methodologies. They will focus on optimizing data visualizations and reporting solutions to drive business insights and improve operational efficiencies. This position serves as a bridge between business processes and business intelligence, leveraging data mining, summarization, and analysis to provide valuable insights into business performance.Key Responsibilities
  • Partner with business stakeholders, analysts, and engineers to assess reporting needs and develop effective data solutions.
  • Gather and translate business requirements into data specifications, ensuring alignment with organizational goals.
  • Design and develop various reporting solutions, including dashboards, scorecards, and tabular data visualizations.
  • Create and maintain reports using SQL Server Reporting Services (SSRS) and deploy them via Visual Studio and Report Builder.
  • Write, optimize, and manage SQL queries to support complex reporting requirements.
  • Analyze report requests to ensure they meet business needs, identifying opportunities for optimization and efficiency.
  • Identify and eliminate redundant or unnecessary data points in reports to enhance clarity and usability.
  • Validate and reconcile data discrepancies across multiple sources to maintain data integrity.
  • Troubleshoot and resolve issues related to reports, queries, and analytics.
  • Maintain a catalog of existing reports and ensure proper documentation.
  • Conduct complex data mining exercises, interpreting results through various analytical methods.
  • Provide support by resolving user-reported data and reporting issues.
  • Offer recommendations to management for process improvements and performance metrics.
  • Participate in quality assurance (QA) testing and project implementation efforts.
Required Skills & Qualifications
  • Strong analytical mindset with the ability to conduct structured and results-driven business data analysis.
  • Expert proficiency in SQL, including hands-on experience with Microsoft SQL Server for advanced query development.
  • Extensive experience with Microsoft Reporting Services (SSRS) and Report Builder for report creation and deployment.
  • Proficiency in Microsoft Visual Studio for developing and managing reporting solutions.
  • Prior experience in data analytics and report writing within the mortgage or financial industry (preferred).
  • Strong understanding of business processes and a proven ability to build trust with stakeholders.
Core Competencies
  1. Analytical Thinking - Ability to break down complex problems and derive meaningful insights from data.
  2. Effective Communication - Strong written and verbal communication skills to interact with business and technical teams.
  3. Problem-Solving - Ability to troubleshoot issues and develop efficient, data-driven solutions.
  4. Independence & Initiative - Self-starter who can take ownership of projects and deliver high-quality results.
  5. Organizational Skills - Ability to manage multiple tasks, meet deadlines, and maintain structured documentation.