ZipRecruiter

Log In

1

Data Analytics Intern Jobs in Reston, VA (NOW HIRING)

Serverfarm

Data Center Operations Intern

Vienna, VA · On-site

$20 - $25/hr

Join our Data Center Operations team as an onsite intern reporting directly to the Data Center ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Serverfarm

Data Center Operations Intern

Vienna, VA

$20 - $25/hr

Join our Data Center Operations team as an onsite intern reporting directly to the Data Center ... analyzing resumes, or assessing responses. These tools assist our recruitment team but do not ...

Xometry

Category Management Intern

North Bethesda, MD · Hybrid

$23/hr

As a Category Management Intern at Xometry, you'll be at the forefront of driving category strategy ... Data analysis & reporting: Analyze spend, capacity, and performance data to support decision-making ...

Prescient Edge

HR/Security Analyst Intern

Mclean, VA · On-site

$15.25 - $20.25/hr

Job Title HR/Security Analyst Intern Location McLean, VA 22102 US (Primary) Category Human ... Ability to analyze data and synthesize research into a polished, completed product. * A positive ...

next page

Showing results 1-20

People also search for

All JobsData Analytics Intern JobsData Analytics Intern Jobs in Reston, VA

Data Analytics Intern information

See Reston, VA salary details

$12

$23

$44

How much do data analytics intern jobs pay per hour?

As of May 30, 2026, the average hourly pay for data analytics intern in Reston, VA is $23.78, according to ZipRecruiter salary data. Most workers in this role earn between $18.27 and $25.91 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Analytics Intern, and why are they important?

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are some common challenges Data Analytics Interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

What does a Data Analytics Intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

What is the difference between Data Analytics Intern vs Data Analyst?

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

What are the most commonly searched types of Data Analytics jobs in Reston, VA? The most popular types of Data Analytics jobs in Reston, VA are:
What are popular job titles related to Data Analytics Intern jobs in Reston, VA? For Data Analytics Intern jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Data Analytics Intern jobs in Reston, VA look for? The top searched job categories for Data Analytics Intern jobs in Reston, VA are:
What cities near Reston, VA are hiring for Data Analytics Intern jobs? Cities near Reston, VA with the most Data Analytics Intern job openings:
Data Analytics Intern jobs near you
Infographic showing various Data Analytics Intern job openings in Reston, VA as of May 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 56% Physical, 12% Hybrid, and 32% Remote job distribution, with an average salary of $49,470 per year, or $23.8 per hour.
Data Science Intern (USPS) - Summer 2026

Data Science Intern (USPS) - Summer 2026

Logistics Management Institute

Tysons, VA

Internship

Posted 22 days ago

Job description

LMI is seeking a highly motivated Data Science & AI/ML Intern for Summer 2026 to contribute to impactful projects in data science, software development, and artificial intelligence/machine learning (AI/ML). This internship provides an opportunity to work with cutting-edge technologies, analyze complex datasets, and develop AI-driven solutions that support LMI’s mission to provide innovative solutions for government clients. 

This role is dedicated to bolstering our Advanced Analytics & AI practice and supporting our USPS customer.  

*This position is currently full-time onsite at the customers Washington DC office.  

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.


  • Participate in research and development efforts focused on emerging AI and data science methodologies. 
  • Conduct data analysis and build predictive models using Python, SQL, and machine learning libraries. 
  • Develop and implement AI/ML algorithms to solve real-world problems. 
  • Assist in the development of software applications leveraging cloud computing platforms like AWS or Azure. 
  • Create data visualizations and dashboards to present analytical insights effectively. 
  • Collaborate with cross-functional teams to integrate AI-driven solutions into existing systems.  

  • Current enrollment in a degree seeking program required 
  • Availability to work full-time for at least 10-12 weeks for summer 2026
  • Must be available starting at the end of May 2026
  • Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. 
  • Experience with Python, SQL, and machine learning frameworks (e.g., TensorFlow, Scikit-learn, PyTorch). 
  • Familiarity with software development, cloud computing (AWS, Azure), and algorithms. 
  • Strong analytical and problem-solving skills with the ability to work on complex datasets. 
  • Experience with data visualization tools (Tableau, Power BI, Matplotlib) is a plus. 
  • Strong communication and teamwork skills. 
  • Applicants selected for this position will be subject to a government security investigation and must meet eligibility requirements for access to classified information. For this position, LMI will only consider applicants who are eligible for security clearances. Only US Citizens are eligible for a security clearance. 

DESIRED QUALIFICATIONS/SKILLS 

  • Experience working with Microsoft Excel and Access. 
  • Experience with Visual Basic for Applications and Java is highly desirable. 
  • Programming experience—ability to program and learn new programming languages quickly. 

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.


Apply