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Data Analytics Graduate Jobs in Virginia (NOW HIRING)

Peraton

Senior Data Scientist

Reston, VA

$135K - $216K/yr

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis ... Professional or graduate certificate in Data Science from a university or major online learning ...

Peraton

Senior Data Scientist

Herndon, VA · On-site

$135K - $216K/yr

Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis ... Professional or graduate certificate in Data Science from a university or major online learning ...

Virginia Tech

Graduate Advisor

Blacksburg, VA

Graduate Advisor Apply now Back to search results Job no: 536268 Work type: Administrative ... Experience creating and analyzing surveys or qualitative data, and using survey instruments ...

Truist

Data Scientist II

Richmond, VA · On-site

... Analytics, Data Science, Computer Science, or Engineering 2. Four years of relevant work experience if candidate lacks graduate degree 3. Previous experience in the banking or fin-tech industry OTHER ...

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Data Analytics Graduate information

What jobs can I get with a degree in data analytics?

A degree in data analytics can lead to roles such as data analyst, business intelligence analyst, data scientist, or data engineer. These positions involve analyzing data sets, creating reports, and using tools like SQL, Python, or Tableau to support decision-making across various industries.

What are the key skills and qualifications needed to thrive in the Data Analytics Graduate position, and why are they important?

To thrive as a Data Analytics Graduate, you need a solid understanding of statistics, data modeling, and analytical techniques, usually supported by a relevant degree in mathematics, statistics, computer science, or a related field. Familiarity with tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is highly valued, and certifications in these can provide an added advantage. Strong problem-solving abilities, attention to detail, and effective communication skills help you distill complex data sets into actionable insights and present findings to diverse stakeholders. These skills are essential for delivering data-driven solutions that support business decisions and foster organizational growth.

What does a graduate data analyst do?

A graduate data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software, and often work under supervision to develop their skills and understanding of data trends and patterns.

Is 40 too late for data science?

The Data Analytics Graduate role typically requires strong analytical skills and familiarity with tools like SQL, Python, or R. Age is not a barrier; many professionals transition into data science later in their careers by gaining relevant skills and certifications. Success depends on your ability to learn and adapt, regardless of age.

What jobs can I do with a degree in data analytics?

A degree in data analytics qualifies you for roles such as data analyst, business intelligence analyst, data scientist, and operations analyst. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and visualization software. Strong analytical skills and knowledge of statistical methods are essential for success in these jobs.

What are typical career paths or growth opportunities for a Data Analytics Graduate?

As a Data Analytics Graduate, you often start by supporting more senior analysts with data preparation, exploratory analysis, and report generation. Over time, you can advance to positions such as Data Analyst, Business Intelligence Analyst, or Data Scientist, depending on your interests and ongoing skill development. Many organizations encourage further training and offer mentorship to help you specialize in areas like machine learning, data engineering, or domain-focused analytics. With experience and demonstrated impact, leadership roles such as Analytics Manager or Team Lead become attainable, providing broader responsibilities and strategic input into organizational decision-making.

What is a Data Analytics Graduate job?

A Data Analytics Graduate job is an entry-level role designed for recent graduates with a background in data science, statistics, or related fields. It typically involves collecting, cleaning, analyzing, and visualizing data to help organizations make data-driven decisions. Graduates in this role may work with tools like SQL, Python, Excel, and data visualization software to interpret trends and patterns. They often collaborate with different departments to provide insights that optimize business processes. This role serves as a foundation for more advanced positions in data analytics or data science.

What are the most commonly searched types of Data Analytics Graduate jobs in Virginia? The most popular types of Data Analytics Graduate jobs in Virginia are:
What are popular job titles related to Data Analytics Graduate jobs in Virginia? For Data Analytics Graduate jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Analytics Graduate jobs in Virginia look for? The top searched job categories for Data Analytics Graduate jobs in Virginia are:
Data Analytics Graduate jobs near you
Infographic showing various Data Analytics Graduate job openings in Virginia as of June 2026, with employment types broken down into 19% Internship, 57% Full Time, 19% Part Time, and 5% Temporary. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.
Senior Data Scientist

Senior Data Scientist

Peraton

Reston, VA

$135K - $216K/yr

Full-time

Posted 9 days ago

Peraton rating

8.2

Company rating: 8.2 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

46th of 204 rated it services

Job description

Responsibilities

The Senior Data Scientist utilizes expertise in discovering and analyzing complex data sets and data sources to derive actionable insights using statistical methods, machine learning and data visualization tools. Responsibilities are, but are not limited to: 

  • Conduct data analytics, data engineering, data mining, exploratory analysis, predictive analysis, and statistical analysis. 
  • Utilize scientific techniques to correlate data into graphical, written, visual and verbal narrative products to inform high quality analytic decisions. 
  • Proactively retrieve data from various sources and analyze data for better understanding. 
  • Build and utilize Artificial Intelligence (AI)/ Machine Learning (ML) tools to automate processes for efficiencies. 
  • Build high quality prediction systems. 
  • Utilize data visualization and graphical applications, to include Microsoft Office (Power BI) and Tableau. 
  • Utilize major data science languages, such as R and Python. 
  • Perform management and merging of disparate data sources, preferably through R, Python, or SQL.  
  • Perform statistical analysis, and data mining algorithms. 
Qualifications

Required Qualifications: 

  • Bachelor's degree in a relevant field, such as Data Science, with a minimum of 17 years of experience or Master's degree with a minimum of 12 years of work experience. 
  • Professional or graduate certificate in Data Science from a university or major online learning platform, 
  • Experience in data visualization and use of graphical applications, including Microsoft Office Power BI and Tableau. 
  • Experienced in major data science languages, such as R and Python. 
  • Experienced in managing and merging disparate data sources, preferably through R, Python, or SQL. 
  • Experienced in statistical analysis and developing data mining algorithms. 
  • Experienced with large data multi-INT analytics, ML, and automated predictive analytics. 
  • Experienced in algorithm development, data structures, and software development practices. 
  • Experienced knowledge of coding and scripting, information science, mathematics, machine learning, visual analytic modeling tools, and relevant Standard Operating Procedures (SOPs) to create repeatable, widely applicable procedures to support all-source intelligence analysis and production. 
  • Strong analytical and critical thinking skills to interpret complex data and draw meaningful conclusions. 
  • Ability to work collaboratively with users and stakeholders. 
  • Capacity to adapt to changing situations to prioritize tasks effectively. 
  • Excellent communication, analytical, and problem-solving skills. 

Preferred Qualifications: 

  • Master's degree in a relevant field, such as Data Science. 
  • Experience working in the customer environment is preferred. 

Security Clearance:  

This Position requires an Active TS/SCI and the ability to obtain a Poly, US Citizenship is required to hold this clearance.  

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world's leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can't be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we're keeping people around the world safe and secure.

Target Salary Range$135,000 - $216,000. This represents the typical salary range for this position. Salary is determined by various factors, including but not limited to, the scope and responsibilities of the position, the individual's experience, education, knowledge, skills, and competencies, as well as geographic location and business and contract considerations. Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay.EEOEEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.Employment Type: FULL_TIME

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Benefits

Hours and flexibility

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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