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Data Assistant Jobs in Virginia (NOW HIRING)

Liberty

Work Assistant (Recovery)

Lynchburg, VA · On-site

$12.77/hr

Manage Data - Assist with data entry, including but not limited to, student appointments, email and phone referrals, updates to student records, group and event attendance, and training initiatives.

Cherry Bekaert

Accounting Associate

Alexandria, VA · On-site

Utilize Excel to organize, analyze, and validate large volumes of financial data * Assist with month-end close and financial reporting activities * Research and resolve discrepancies and data ...

asrcfh

Senior Administrative Specialist

Reston, VA · On-site

Support financial and IT-related initiatives by coordinating with both departments and helping gather relevant data. * Assist with budget tracking, invoice processing, and financial documentation as ...

asrcfh

Senior Administrative Specialist

Reston, VA · On-site

Support financial and IT-related initiatives by coordinating with both departments and helping gather relevant data. * Assist with budget tracking, invoice processing, and financial documentation as ...

Amazon Data Services, Inc.

VA · On-site

... assist internal customers and stakeholders with the creation, design, configuration, validation ... data centers. • Assist in procurement related activities including request for quotation ...

Amazon Data Services, Inc.

VA · On-site

... assist internal customers and stakeholders with the creation, design, configuration, validation ... data centers. • Assist in procurement related activities including request for quotation ...

Amazon Data Services, Inc.

VA · On-site

... assist internal customers and stakeholders with the creation, design, configuration, validation ... data centers. • Assist in procurement related activities including request for quotation ...

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Data Assistant information

See Virginia salary details

$7

$19

$35

How much do data assistant jobs pay per hour?

As of Aug 12, 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.

What is a data assistant?

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 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 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, 80% Full Time, 11% Part Time, and 8% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $40,009 per year, or $19.2 per hour.

Senior Data Modeler (Data Architect)

Data Intelligence LLC

Quantico, VA

Full-time

Re-posted 21 days ago

Job description

Data Intelligence LLC
Job Openings >> Senior Data Modeler (Data Architect)
Senior Data Modeler (Data Architect)
Summary
Title: Senior Data Modeler (Data Architect) ID: 1593 Location: Quantico, VA
More about this job >
Description

Data Intelligence is seeking an experienced Senior Data Modeler / Data Architect to support mission-critical operations at NCIS Headquarters in Quantico, VA. This role focuses on designing, managing, and optimizing enterprise data models and architectures to support advanced analytics and operational requirements. The ideal candidate will bridge business needs and technical implementation, ensuring data is structured, accessible, and aligned with mission objectives.

Key Responsibilities

  • Develop and maintain conceptual, logical, and physical data models aligned to mission and business requirements
  • Collaborate with IT teams, data architects, and stakeholders to define and refine data requirements
  • Translate business needs into scalable and efficient data architectures
  • Review data processing and data management methods to ensure efficiency, integrity, and performance
  • Establish and maintain official data definitions, standards, and data lineage documentation
  • Support database design, implementation, and optimization efforts
  • Assist in developing strategies for data acquisition, storage, archival, and recovery
  • Ensure data sets and applications function reliably and meet operational needs
  • Provide technical oversight and mentorship to junior developers and data staff
  • Troubleshoot data-related issues and provide system support as needed

Required Qualifications

  • Bachelor's degree in Computer Science or related field
  • Minimum 10 years of professional experience in data modeling, data architecture, or related disciplines
  • Strong experience developing conceptual, logical, and physical data models
  • Experience working with enterprise data environments and large-scale data systems
  • Ability to translate complex business requirements into technical data solutions
  • Experience with data governance, data standards, and metadata management
  • Strong understanding of database design, implementation, and performance optimization
  • Experience supporting data lifecycle processes including ingestion, storage, archival, and recovery
  • Strong analytical, problem-solving, and troubleshooting skills
  • Excellent communication and collaboration abilities across technical and non-technical teams
  • Active Top Secret / SCI clearance
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