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Data Assistant Jobs in Virginia (NOW HIRING)

Cornerstone Defense

Data Exploiter

Chantilly, VA · On-site

Extract and analyze foreign intelligence/counterintelligence value from digital data; assist with cyber attribution efforts. * Conduct log analysis, network traffic monitoring, and vulnerability risk ...

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Support collection, cleaning, and preparation of structured and semi-structured data * Assist with exploratory data analysis and basic statistical assessments * Develop simple dashboards ...

VTG

Data Scientist

Chantilly, VA · On-site

$105K - $215K/yr

Support collection, cleaning, and preparation of structured and semistructured data * Assist with exploratory data analysis and basic statistical assessments * Develop simple dashboards ...

VTG

Data Scientist with Security Clearance

Chantilly, VA · On-site

$105K - $215K/yr

Support collection, cleaning, and preparation of structured and semi-structured data * Assist with exploratory data analysis and basic statistical assessments * Develop simple dashboards ...

FBR & Co.

Administrative Assistant

Arlington, VA

$20.50 - $27.75/hr

They will handle confidential data; assist with compliance and operational requirements; and interact with high-level executives and clients on their behalf. This position is located in Arlington ...

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How much do data assistant jobs pay per hour?

As of Jul 22, 2026, the average hourly pay for data assistant in Virginia is $19.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.36 and $19.64 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data assistants and data scientists can enter the field at any age, including 40 or older. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or SQL, along with practical experience. Many professionals transition into data roles later in their careers successfully.

What are Data Assistants?

Data Assistants are professionals who support data management processes within an organization. Their responsibilities typically include collecting, entering, cleaning, and maintaining data to ensure its accuracy and accessibility. They often work with spreadsheets, databases, and specialized software to organize and analyze information, making it easier for teams to make data-driven decisions. Data Assistants may also help prepare reports and collaborate with other departments to support research or business operations.

What is the role of a data assistant?

A data assistant supports data management tasks such as collecting, organizing, and maintaining data sets. They often use tools like spreadsheets and databases, ensuring data accuracy and integrity to assist analysts and other team members in decision-making processes.

What are some common challenges Data Assistants face when managing large datasets, and how can they overcome them?

Data Assistants often encounter challenges such as data inconsistencies, missing information, and time-consuming data entry tasks when handling large datasets. To overcome these issues, it’s important to develop strong attention to detail, utilize data validation tools, and follow established data management protocols. Collaborating closely with data analysts and IT teams can also help identify and resolve data quality problems more efficiently, ensuring that the information remains accurate and reliable for stakeholders.

What do data assistants do?

Data assistants support data management tasks by collecting, organizing, and maintaining data sets. They often use tools like spreadsheets and databases, perform data entry, verify accuracy, and assist with data analysis to ensure information is complete and reliable.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or Python, and often benefit from relevant coursework or certifications. While prior experience is helpful, entry-level positions may be available for those with strong analytical skills and a willingness to learn on the job.

What is the difference between Data Assistant vs Data Analyst?

AspectData AssistantData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data-related fields; certifications like Microsoft Excel or SQL are common
Work EnvironmentOffice settings, data entry centers, or remoteOffice environments, research firms, or corporate settings
Employer & Industry UsageAdministrative support in various industries, including healthcare, education, and retailData-driven decision making in finance, marketing, healthcare, and tech

While Data Assistants focus on data entry, organization, and basic support tasks, Data Analysts interpret data to provide insights and strategic recommendations. Both roles are essential but differ in complexity and scope.

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

To excel as a Data Assistant, you need strong attention to detail, proficiency in data entry, and a basic understanding of data management principles, often supported by a high school diploma or equivalent. Familiarity with spreadsheet software such as Microsoft Excel, database platforms, and data visualization tools is typically required. Excellent organizational skills, reliability, and effective communication set top performers apart in this role. These abilities are vital for ensuring data accuracy, supporting efficient workflows, and facilitating informed decision-making within organizations.
What are the most commonly searched types of Data jobs in Virginia? The most popular types of Data jobs in Virginia are:
What are popular job titles related to Data Assistant jobs in Virginia? For Data Assistant jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Assistant jobs in Virginia look for? The top searched job categories for Data Assistant jobs in Virginia are:
What cities in Virginia are hiring for Data Assistant jobs? Cities in Virginia with the most Data Assistant job openings:
Data Assistant jobs near you
Infographic showing various Data Assistant job openings in Virginia as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $40,009 per year, or $19.2 per hour.
Data Exploiter

Data Exploiter

Cornerstone Defense

Chantilly, VA • On-site

Contractor

Posted 20 days ago

Job description

  • Location: Chantilly, Virginia
  • Type: Contract
  • Job #3966

Data Exploiter
Chantilly, VA
The Data Exploiter analyzes large, unstructured datasets to support operational targeting and analytical requirements. You will manage the entire data life cycle-from collection and triage to vulnerability assessment and the dissemination of actionable intelligence.
Key Responsibilities
  • Extract and analyze foreign intelligence/counterintelligence value from digital data; assist with cyber attribution efforts.
  • Conduct log analysis, network traffic monitoring, and vulnerability risk assessments to detect breaches and anomalies.
  • Develop tailored intelligence products, entity profiles, and derive datasets to drive targeting and operations.
  • Create new methodologies/algorithms for data correlation; recommend new technologies to improve team performance.
  • Maintain technical documentation and collaborate cross-functionally with data scientists, engineers, and developers.

Required Qualifications
  • Experience in network traffic analysis, detailed log analysis, and system monitoring.
  • Proven ability in vulnerability identification, risk analysis, remediation, and evaluating worldwide security events (Zero Days, cyber-attacks).
  • Ability to sift through large unstructured datasets to identify/correlate key metadata, artifacts, and critical information gaps.
  • Knowledge of incident response, containment, mitigation, and common cyber-attack methods.
  • Experience with technical collection abilities and the full targeting life cycle.

Desired Qualifications
  • Proficient with network monitoring tools (Splunk, Wireshark, SolarWinds, WSUS, Snare) and OS hardening (CIS-CAT).
  • Strong understanding of VPNs, VLANs, TCP/IP, and Linux OS.
  • Experience using scripting to exploit large data sets.
  • Technical targeting experience; ability to navigate enterprise security accreditation processes; capable of working independently.

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