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Remote Entry Level Data Analyst Jobs in Virginia

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

Data Analyst About the Organization Now is a great time to join Redhorse Corporation. Our mission ... for remote work to be determined by the program manager and customer. Essential Functions:

IQUASAR LLC

Business Data Analyst

Sterling, VA · Remote

Business Data Analyst Location : Full time Remote Position Type : Full time Job Summary We are seeking a Data / Business Analyst with a strong blend of technical, analytical, and organizational ...

TSTC

Junior Data Analyst

Arlington, VA · On-site +1

$50K - $75K/yr

TSTC is seeking a full-time Junior Data Analyst to provide research services for one of TSTC ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

TSTC

Junior Data Analyst

Arlington, VA · On-site +1

TSTC is seeking a full-time Junior Data Analyst to provide research services for one of TSTC ... Flexible Work Options - Remote work allowed, flexible schedules, and telework opportunities ...

OSC Edge

Data Analyst Intern

Manassas, VA · On-site +1

OSC Edge offers a Data Analyst internship program in a professional IT organization that is ... Internship is fully remote (work from home) * Lenth of internship - 3 months Equal Employment ...

New

Sentara

Senior Healthcare Data Analyst

Virginia Beach, VA · On-site +1

$81K - $103K/yr

Overview The Senior Healthcare Data Analyst provides advanced data analysis and reporting support ... For positions that are available as remote work, Sentara Health employs associates in the following ...

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Remote Entry Level Data Analyst information

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$13

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How much do remote entry level data analyst jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for remote entry level data analyst in Virginia is $32.64, according to ZipRecruiter salary data. Most workers in this role earn between $20.96 and $36.44 per hour, depending on experience, location, and employer.

What does a typical day look like for a Remote Entry Level Data Analyst?

A typical day as a Remote Entry Level Data Analyst often involves cleaning and organizing datasets, generating basic reports, and collaborating with team members through virtual meetings and communication platforms. You might use spreadsheet software or data visualization tools to identify trends and present findings to your supervisor or project stakeholders. Regular tasks also include responding to ad-hoc requests for data and assisting more senior analysts on larger projects. Since you’re working remotely, maintaining clear communication and managing your time independently are crucial for staying aligned with your team’s goals.

What is a Remote Entry Level Data Analyst job?

A Remote Entry Level Data Analyst is a professional who works from a remote location to collect, process, and analyze data to help businesses make informed decisions. They use tools like Excel, SQL, and Python to identify trends, create reports, and support decision-making. Since this is an entry-level role, it typically requires basic data analysis skills and may involve working under the guidance of experienced analysts. Strong communication and problem-solving skills are essential for translating data insights into actionable business strategies.

What are the key skills and qualifications needed to thrive in the Remote Entry Level Data Analyst position, and why are they important?

To thrive as a Remote Entry Level Data Analyst, you need a solid understanding of data analysis, basic statistics, and proficiency with spreadsheet and data visualization tools—often supported by a degree in a related field such as mathematics or computer science. Familiarity with programming languages like SQL or Python and experience using analytics platforms like Excel, Tableau, or Google Data Studio are commonly required. Strong attention to detail, effective communication, and self-motivation are key soft skills for remote collaboration and successful project delivery. These skills are essential for accurately interpreting data, sharing actionable insights, and contributing to team objectives in a distributed work environment.

What are the most commonly searched types of Remote Data Analyst jobs in Virginia? The most popular types of Remote Data Analyst jobs in Virginia are:
What are popular job titles related to Remote Entry Level Data Analyst jobs in Virginia? For Remote Entry Level Data Analyst jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Remote Entry Level Data Analyst jobs in Virginia look for? The top searched job categories for Remote Entry Level Data Analyst jobs in Virginia are:
What cities in Virginia are hiring for Remote Entry Level Data Analyst jobs? Cities in Virginia with the most Remote Entry Level Data Analyst job openings:
Remote Entry Level Data Analyst jobs near you
Infographic showing various Remote Entry Level Data Analyst job openings in Virginia as of June 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% Remote job distribution, with an average salary of $67,900 per year, or $32.6 per hour.
Data Analyst

Data Analyst

PEOPLE TECHNOLOGY AND PROCESSES LLC

Arlington, VA • Remote

Other

Posted yesterday

Job description

Position Title: Data Analyst

Location: Arlington, VA (Remote)

Clearance Level: Secret

Responsibilities will include, but are not limited to:

  • Analyze military operational data to identify trends, patterns, and anomalies that can inform strategic decision-making.
  • Clean, and preprocess large datasets related to Army operations, logistics, personnel, and intelligence for analysis.
  • Develop dashboards and reports to visualize key performance indicators and metrics for Army leadership.
  • Perform geospatial analysis to support mission planning, resource allocation, and situational awareness.
  • Conduct data mining and exploratory data analysis to extract insights from diverse military datasets.

Required qualifications

  • Bachelor’s Degree in related field of study or equivalent experience.
  • Minimum of three years of experience, one within DoD, working with big-data systems and developing production-level data models.
  • Possess skills and expertise in machine learning tools to select features, create, and optimize classifiers.
  • Possess demonstrable collegiate-level writing skills, demonstrated familiarity with the U.S. Army organization and regulations, and strong organization and communication skills.
  • Have a strong data science, machine learning, and statistical modeling background.
  • Communicate complex technical findings to a variety of audiences.
  • Demonstrate practical experience substantiating equivalent skills such as Structured Query Language, Microsoft Excel, R or Python statistical programming, Data Visualization, and Presentation Skills. Prior knowledge of Power BI, Tableau, and Advana data science is preferred.

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