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Entry Level Data Analyst Jobs in Reston, VA (NOW HIRING)

Junior AI/ML Strategist

Arlington, VA · Hybrid

$98K - $163K/yr

Data & Process Analysis: Gather, analyze, and interpret data pipelines to identify process ... Security+, AWS Certified Cloud Practitioner, or equivalent entry-level cloud/cyber credentials.

We are actively looking for Entry level QA/BA Analyst position for our clients throughout USA ... Created Test Data specification document for the application covering the associated interfaces ...

We are actively looking for Entry level QA/BA Analyst position for our clients throughout USA ... Created Test Data specification document for the application covering the associated interfaces ...

Summary: We are seeking an entry-level Consultant/Analyst 1 to support the United States Coast ... Collaborate with senior analysts and technical teams to gather data and document findings.

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Entry Level Data Analyst information

See Reston, VA salary details

$13

$34

$65

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

As of Jul 22, 2026, the average hourly pay for entry level data analyst in Reston, VA is $34.80, according to ZipRecruiter salary data. Most workers in this role earn between $22.36 and $38.85 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst, and why are they important?

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
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Infographic showing various Entry Level Data Analyst job openings in Reston, VA as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $72,380 per year, or $34.8 per hour.
Declassification Analyst - Entry Level

$75K - $90K/yr

Full-time

Medical, Dental, Life, Retirement

Posted 10 days ago


Job description

This is an entry-level professional position on our Declassification Analysis team and training is provided.

Work is 100% ON-SITE (no remote). Work takes place primarily at the National Archives & Records Administration (NARA) facility in College Park, Maryland.

Planned start date for this position is September 8, 2026.

Global Engineering & Technology (GET) is seeking a highly qualified individual for the position of Declassification Analyst I in support of the Department of Energy's Office of Classification. This is a highly compensated permanent position as a full-time employee with benefits.

As a Declassification Analyst I, you'll gain specialized training while playing a vital role in safeguarding some of our nation's most sensitive national security information, making a real impact as you grow your career. Your analytical work directly shapes how critical government information is understood, protected, and responsibly released to the public.

The Declassification Analyst I conducts declassification reviews and analyses of classified government information relating to nuclear weapons technology and naval nuclear propulsion systems. This work takes place primarily at the NARA II facility in College Park, Maryland. Analysis of classified records for purposes of declassification is performed in accordance with applicable laws, regulations, DOE orders, and DOE Office of Classification procedures for Restricted Data (RD), Formerly Restricted Data (FRD), and National Security Information (NSI) related to technical areas such as:

  • Nuclear weapons design, development, testing, production, and deployment
  • Special nuclear material (SNM) production technologies
  • Nuclear weapons safeguards and security, and transportation
  • Intelligence/counterintelligence
  • Chemical and biological defense activities
  • Radiological weapons
  • Space nuclear reactors
  • Naval nuclear propulsion

Compensation Range: $75,000-$90,000/Year

Apply today to launch a high-impact career at the intersection of national security, science, and history.

Requirements

Security Clearance:
  • MUST possess an active DOE Q clearance or an active DOD Top Secret clearance
Location:
  • Applicants must reside within a 1-hour commute from College Park, Maryland
Skills:
  • Applicants MUST pass an online pre-employment reading comprehension assessment
Experience:
  • This is an entry-level position and training is provided
  • Experience in classification and/or declassification is not mandatory but highly sought after
  • Individuals who have completed DOE's Historical Records Restricted Data Reviewers (HRRDR) course are strongly encouraged to apply
Education:
  • Although a Bachelor's degree in engineering, physical science, or nuclear science from an accredited university or college is required,
    • Individuals with a Bachelor's degree and any other relevant training in nuclear weapons or nuclear reactor technology will be strongly considered
    • Individuals with a Bachelor's degree and experience in related declassification analysis will be strongly considered
    • Graduates of the Navy Nuclear Power School are urged to apply regardless of their academic major

Benefits

We provide exceptional benefits to our full-time employees (spouse/family coverage option is available at a company-subsidized rate).

Benefits include:

  • Medical Plan Options With UnitedHealthcare
  • Dental Insurance
  • Long-term and Short-term Disability Insurance
  • Life Insurance
  • AD&D Insurance
  • Generous 401(k) Match

All benefits are effective on day one of employment.

This job posting is not intended to be a comprehensive list of duties or qualifications. The qualifications and requirements listed in this posting are intended as a general guide. Meeting these criteria does not guarantee selection, as additional factors (including nature of experience, skills, and organizational needs) will be considered during the review process.

Global Engineering & Technology, Inc. (GET) does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.