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Data Assistant Jobs in Reston, VA (NOW HIRING)

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 ...

Data Entry Assistant Location: Washington, DC (Hybrid) Industry: Nonprofit / Association Pay: $18-20/hour (depending on experience) Type: Contract (2-3 months) Benefits: Eligible for Medical, Dental ...

Perform duties relating to the administrative maintenance of surgical pathology protocols, procedures, reports, and data * Assist in standardizing and implementing new protocols and procedures, as ...

Assist with analyzing data from standard medical code systems (e.g., ICD-CM/PCS, CPT, HCPCS, LOINC, SNOMED, RxNorm).Prepare reports, manuals and other directives necessary to convey medical coding ...

Perform duties relating to the administrative maintenance of surgical pathology protocols, procedures, reports, and data * Assist in standardizing and implementing new protocols and procedures, as ...

Data Engineer

Rockville, MD

$116.70K - $140.20K/yr

... data assistants, MCP servers, and agent harness architectures. This position contributes to overall product quality throughout the software development lifecycle. Responsibilities : * Build and ...

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Data Assistant information

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 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 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 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 most commonly searched types of Data jobs in Reston, VA? The most popular types of Data jobs in Reston, VA are:
What are popular job titles related to Data Assistant jobs in Reston, VA? For Data Assistant jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Data Assistant jobs? Cities near Reston, VA with the most Data Assistant job openings:
Data Scientist with Security Clearance

Data Scientist with Security Clearance

VTG

Chantilly, VA

Other

Posted 22 days ago


Job description

Overview VTG is looking for a Data Scientist in Chantilly, VA. (Note: Contingent upon program award). Data Scientist I supports government and program teams by assisting with data analysis, visualization, and reporting to inform mission, operational, and business decisions under senior supervision. Data Scientist II independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership. Data Scientist III independently performs data analysis and modeling to support mission outcomes, providing actionable insights to government and program leadership. What will you do? Data Scientist I * Support collection, cleaning, and preparation of structured and semi‑structured data
  • Assist with exploratory data analysis and basic statistical assessments
  • Develop simple dashboards, visualizations, and analytical summaries
  • Support documentation of data sources, assumptions, and methodologies
  • Participate in analytic working groups and technical discussions
  • Assist with maintaining data pipelines, scripts, and analysis artifacts
  • Support coordination between data engineers, analysts, and mission stakeholders
Data Scientist II * Analyze large and complex datasets to identify trends, patterns, and insights
  • Develop and apply statistical models or machine learning techniques as appropriate
  • Design and maintain dashboards, visualizations, and analytic products
  • Translate mission or business questions into analytic approaches and outputs
  • Validate data quality, assumptions, and model results
  • Present findings and recommendations to technical and non‑technical stakeholders
  • Support integration of analytics into operational or decision‑support workflows
Data Scientist III * Analyze large and complex datasets to identify trends, patterns, and insights
  • Develop and apply statistical models or machine learning techniques as appropriate
  • Design and maintain dashboards, visualizations, and analytic products
  • Translate mission or business questions into analytic approaches and outputs
  • Validate data quality, assumptions, and model results
  • Present findings and recommendations to technical and non‑technical stakeholders
Support integration of analytics into operational or decision‑support workflows Do you have what it takes? TS/SCI with Poly Required
Data Scientist I * 1-4 years of experience supporting data analysis or analytics projects
  • Familiarity with Python, R, SQL, or similar analytical tools
  • Familiarity with tools such as Jupyter, Tableau, Power BI, or similar
  • Basic understanding of statistics and data visualization
  • Strong analytical and communication skills
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Preferred Qualifications: Experience supporting federal, DoD, or IC programs, Exposure to mission, operational, or enterprise data sets, Familiarity with tools such as Jupyter, Tableau, Power BI, or similar
Data Scientist II * 5-9 years of experience in data analytics or data science roles
  • Strong proficiency with Python or R and SQL
  • Experience with statistical analysis, modeling, or machine learning techniques
  • Strong written and verbal communication skills
  • Bachelor's Degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloud‑based analytics environments, Experience with Agile delivery environments
Data Scientist III * Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related field
  • 10+ years of experience in data analytics or data science roles
  • Strong proficiency with Python or R and SQL
  • Experience with statistical analysis, modeling, or machine learning techniques
  • Strong written and verbal communication skills
  • Preferred Qualifications: Experience supporting IC, DoD, or DOJ mission programs, Experience working with operational, intelligence, or enterprise data, Familiarity with cloud‑based analytics environments, Experience with Agile delivery environments