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Data Analyst Fresh Graduate Jobs in Virginia (NOW HIRING)

Whether you are a fresh graduate, a career changer, or looking for consistent part time work ... The Data Entry Analyst plays a critical role in examining various types of documents from data ...

... graduate roles or internships, performing national security-related analytics; preference for ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

... graduate roles or internships, performing national security-related analytics; preference for ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

... graduate roles or internships, performing national security-related analytics; preference for ... data manipulation, and data visualization skills * Excellent professional demeanor with a ...

Skills: Data Analytics, Data Cleansing, Data Integration, Data Trends, Technology Refresh ... Incumbents bring invaluable mission insight, while new talent adds fresh ideas and energy. Together ...

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Data Analyst Fresh Graduate information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do data analyst fresh graduate jobs pay per year?

As of Sep 13, 2026, the average yearly pay for data analyst fresh graduate in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What is a data analyst fresh graduate?

A Data Analyst Fresh Graduate job is an entry-level role for recent graduates who analyze data to help businesses make informed decisions. Responsibilities typically include collecting, cleaning, and interpreting data, creating reports, and identifying trends. This role often requires proficiency in Excel, SQL, Python, or data visualization tools like Tableau. Employers look for candidates with strong analytical skills, attention to detail, and a foundation in statistics. It is a great starting point for building a career in data science or business intelligence.

What does a typical day look like for a data analyst fresh graduate?

A typical day for a Data Analyst Fresh Graduate often involves collecting, cleaning, and analyzing data sets, creating visual reports, and working closely with senior analysts and cross-functional teams. You may spend time interpreting data trends, preparing presentations for team meetings, and learning new technical skills. Collaboration is common, as you’ll often discuss project objectives with managers or share findings with non-technical stakeholders. Over time, you may gradually take on more complex analyses and projects as you build expertise and confidence. This day-to-day exposure helps you gain practical experience and prepares you for broader data roles in the future.

What are the key skills and qualifications needed to thrive in the data analyst fresh graduate position, and why are they important?

To thrive as a Data Analyst Fresh Graduate, you need a solid understanding of statistics, data visualization, and data cleaning, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with technical tools such as Microsoft Excel, SQL, Python or R, and visualization platforms like Tableau or Power BI is commonly required; additional certifications in these areas can be advantageous. Strong analytical thinking, problem-solving, attention to detail, and effective communication are key soft skills that set candidates apart. These competencies enable new analysts to extract meaningful insights from data, clearly present findings, and support data-driven decision-making within organizations.

Can a fresh graduate join as a data analyst?

Yes, many companies hire fresh graduates as data analysts, especially if they have relevant skills in data analysis tools like Excel, SQL, or Python, and a strong understanding of statistics. Entry-level data analyst roles often require a bachelor's degree in a related field and may include on-the-job training or certifications to develop necessary skills.

How do you become a data analyst fresh graduate?

To become a data analyst as a fresh graduate, you should obtain a relevant degree such as in statistics, mathematics, or computer science, and develop skills in data analysis tools like Excel, SQL, and programming languages such as Python or R. Gaining experience through internships, projects, or certifications like Microsoft Data Analyst or Google Data Analytics can also improve job prospects.

What are the most commonly searched types of Data Analyst Fresh Graduate jobs in Virginia?

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

What are popular job titles related to Data Analyst Fresh Graduate jobs in Virginia?

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

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

The top searched job categories for Data Analyst Fresh Graduate jobs in Virginia are:

What cities in Virginia are hiring for Data Analyst Fresh Graduate jobs?

Cities in Virginia with the most Data Analyst Fresh Graduate job openings:

Infographic showing various Data Analyst Fresh Graduate job openings in Virginia as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Data Entry Analyst - Part Time

Reston, VA • On-site

$17.31/hr

Part-time

Posted 10 days ago


Job description

Data incidents affect millions of individuals each year, ACTFORE offers data mining solutions for companies to investigate data incidents, and our proprietary training will take you from no experience to quickly and accurately mining for this sensitive data to help notify and protect people from these incidents.


Whether you are a fresh graduate, a career changer, or looking for consistent part time work, ACTFORE invites you to apply to grow in IT/Cybersecurity/Data and safeguard organizations and the people they serve.

Job Summary:

The Data Entry Analyst plays a critical role in examining various types of documents from data breaches to quickly and accurately extract sensitive data and formats that data manually in Excel. The outputs of this role contribute to individuals being notified of data incidents.


While this is an entry‑level, part‑time role, it provides meaningful exposure to real‑world cyber incident response workflows. Working in a fast paced and deadline-driven environment paired with strong attention to detail, you will build into a repeatable process that ensures accuracy and speedy delivery.

Typical Schedule and Pay:

  • Onsite in Reston, VA (in‑office presence required)
  • 30 hours/week, typically Monday–Thursday or Tuesday-Friday, 9:00 AM–5:00 PM
  • $17.31 Hourly part‑time role with potential eligibility to transition to full‑time (including benefits)


Key Responsibilities:

  • Conduct page‑by‑page review of hundreds of documents daily to identify personally identifiable information (PII) and other sensitive data.
  • Collaborate with project teams to adhere to project standards and client requirements.
  • Maintain strict confidentiality and adhere to federal, state, and industry data‑handling requirements.
  • Accurately organize, structure, and record findings using Microsoft Excel and internal tools.

You’ll be a fit if you have:

  • Strong attention to detail and ability to work quickly while maintaining a high level of accuracy.
  • Comfort working in Excel. Strong Excel skills are a plus.
  • Ability to work and focus in front of a computer for extended periods.
  • High school diploma or equivalent required, any degree is a plus.
  • Prior experience in a document review, legal, or administrative, is helpful but not required.


How You’ll Grow

Many who have joined us have moved on to Sr. Data Analyst, Business Analyst, Forensics Analyst, Security, and Consulting roles at other companies within 7-12 months. This role offers high‑value exposure to key areas of the cybersecurity ecosystem, including:

  • Sensitive‑data identification and classification
  • Regulatory frameworks (PII, PHI, breach‑notification standards)
  • Data governance and documentation workflows
  • Incident‑response support operations
  • Real‑world data security practices and quality‑control methodologies