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Junior Data Analyst Jobs in Virginia (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

Junior Data Scientist / Performance Data Analyst I Location: Washington, DC / Hybrid / Government Facility as Required Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public ...

Asta CRS Inc.

Be Seen First

Junior Business/Data Analyst

Ashburn, VA · On-site

$54K - $60K/yr

We are seeking Junior Business & Data Analyst's with 6 months to 1 year of experience to become an integral part of our team! You will analyze data to understand business and market trends in order ...

AstaCRS Inc

JUNIOR BUSINESS/DATA ANALYST

Ashburn, VA

$2.5K/hr

We are seeking a Junior Business/ Data Analyst to become an integral part of our team! You will analyze data to understand business and market trends in order to increase company revenue and ...

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

Expression is seeking a Junior Data Engineer to support the Drug Enforcement Administration (DEA ... Collaborate with analysts, data scientists, engineers, and business stakeholders to translate ...

ACES Group LLC

DoD Data Analyst

Alexandria, VA · On-site

ACES is seeking a Junior Data Analyst with an active Top Secret or TS/SCI security clearance to support the Office of the Secretary of Defense (OSD), Chief Information Officer (DoD CIO), Command ...

Ignite Digital

Data Analyst

Chesapeake, VA

$90K/yr

This role also includes mentoring junior analysts and supporting the development of data analysis standards and best practices. Key Responsibilities: * Collect, clean, validate, and integrate data ...

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

Expression is seeking a Junior Data Engineer to support the Drug Enforcement Administration (DEA ... Collaborate with analysts, data scientists, engineers, and business stakeholders to translate ...

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

Expression is seeking a Junior Data Engineer to support the Drug Enforcement Administration (DEA ... Collaborate with analysts, data scientists, engineers, and business stakeholders to translate ...

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Showing results 21-40

All JobsData Analyst JobsJunior Data Analyst JobsJunior Data Analyst Jobs in Virginia

Junior Data Analyst information

See Virginia salary details

$34.2K

$78.7K

$126.4K

How much do junior data analyst jobs pay per year?

As of Sep 2, 2026, the average yearly pay for junior data analyst in Virginia is $78,671.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,500.00 and $80,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a junior data analyst?

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What does a junior data analyst do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

What are some common challenges faced by junior data analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

What is the difference between Junior Data Analyst vs Data Scientist?

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

Is it worth becoming a junior data analyst in 2026?

A junior data analyst role remains valuable in 2026 as demand for data skills continues to grow across industries. Success typically requires proficiency in tools like Excel, SQL, and data visualization software, along with a foundational understanding of statistics. Entry-level positions can lead to advanced roles with experience and additional certifications.
More about Junior Data Analyst jobs

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The most popular types of Data Analyst jobs in Virginia are:

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For Junior Data Analyst jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Junior Data Analyst jobs in Virginia look for?

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Cities in Virginia with the most Junior Data Analyst job openings:

Junior Data Analyst jobs near you
Infographic showing various Junior Data Analyst job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $78,671 per year, or $37.8 per hour.

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

Full-time

Re-posted 12 days ago

Job description

Junior Data Scientist / Performance Data Analyst I
Location: Washington, DC / Hybrid / Government Facility as Required
Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred
Experience Level: 1-3 years
Role Summary
The Junior Data Scientist / Performance Data Analyst I supports a federal Management Information System program by helping collect, clean, validate, analyze, and visualize operational and performance data.
This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine learning, NLP, and statistical analysis skills who is ready to progress from research, healthcare, or academic data work into federal mission analytics.
Key Responsibilities
  • Collect, clean, validate, and analyze structured and semi-structured program data.
  • Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.
  • Develop and maintain Tableau dashboards, visual reports, charts, and performance summaries.
  • Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.
  • Assist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.
  • Translate complex datasets into clear summaries for non-technical stakeholders.
  • Document data sources, business rules, transformation logic, assumptions, and analytical methods.
  • Support recurring weekly, monthly, quarterly, and ad hoc reporting requirements.
  • Review model outputs and error patterns to recommend improvements to analytical workflows.
  • Collaborate with senior data scientists, program analysts, project managers, and government stakeholders.
Required Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.
  • 1-3 years of data science, data analytics, research analytics, BI, or machine learning project experience.
  • Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.
  • R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.
  • SQL experience for querying, joining, filtering, and preparing datasets.
  • Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience.
  • Experience with machine learning classification, NLP, model evaluation, or predictive analytics.
  • Ability to inspect model errors, validate outputs, and communicate improvement opportunities.
  • Strong Excel and Microsoft Office skills.
  • Ability to explain technical findings to non-technical stakeholders.
  • U.S. citizenship and ability to obtain required federal suitability/clearance.
Preferred Qualifications
  • Active Secret clearance or prior federal suitability.
  • Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.
  • Experience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.
  • Experience building client-facing dashboards or interactive data applications.
  • Experience with BERT, NLP, unstructured text, topic segmentation, or terminology data.
  • Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.
  • AWS, Git, Jupyter Notebook, or cloud analytics exposure.
Tools / Technologies
Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse, tidymodels, ggplot2, Shiny, NLP, BERT, dashboards, data visualization, statistical modeling.

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