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Data Analysis Internship Jobs in Silver Spring, MD

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

Excel & analysis skills * You are comfortable doing serious work in Excel, including several of the following: * Advanced formulas and functions * Tables and formatting * Conditional formatting

ConnectPrep

Data Analyst Internship

Washington, DC · On-site +1

Excel & analysis skills * You are comfortable doing serious work in Excel, including several of the following: * Advanced formulas and functions * Tables and formatting * Conditional formatting

ConnectPrep

Data Analyst Internship

Washington, DC · Remote

Excel & analysis skills * You are comfortable doing serious work in Excel, including several of the following: * Advanced formulas and functions * Tables and formatting * Conditional formatting

AARP

Data Analyst Intern

Washington, DC · On-site

$28/hr

This paid internship will start in Summer 2026 and continue through the end of the year, with the possibility of extending additional semesters. Responsibilities * Providing support for data analysis ...

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Data Analysis Internship information

See Silver Spring, MD salary details

$12

$23

$43

How much do data analysis internship jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for data analysis internship in Silver Spring, MD is $23.26, according to ZipRecruiter salary data. Most workers in this role earn between $17.88 and $25.34 per hour, depending on experience, location, and employer.

What is a data analysis internship?

A Data Analysis Internship is a temporary position where students or recent graduates gain practical experience in collecting, processing, and interpreting data to help organizations make informed decisions. Interns typically work under the supervision of experienced data analysts and use tools like Excel, SQL, or Python to analyze datasets. The role helps interns develop technical and analytical skills, and often includes tasks such as generating reports, identifying trends, and presenting findings. This internship is valuable for building a foundation in data analysis and can lead to future career opportunities in the field.

What is the difference between Data Analysis Internship vs Data Analyst?

AspectData Analysis InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship programs, entry-level, supervisedFull-time, professional setting, independent responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcare, etc.Full-time roles across various industries
Search & Comparison IntentLooking for entry-level opportunities, internshipsSeeking full-time data analysis roles

In summary, a Data Analysis Internship is an entry-level, supervised position designed for students or recent graduates to gain experience. A Data Analyst is a full-time professional role requiring more experience and responsibility. Both roles are common in similar industries and often share similar educational backgrounds, but they differ significantly in scope and career stage.

What are the key skills and qualifications needed to thrive as a data analysis intern?

To thrive as a Data Analysis Intern, you typically need a strong foundation in statistics, analytical thinking, and familiarity with data manipulation, often supported by coursework in mathematics, computer science, or related fields. Proficiency in tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Attention to detail, curiosity, and effective communication skills help interns interpret data accurately and share insights with diverse teams. These abilities are crucial for transforming raw data into actionable insights and supporting informed decision-making within an organization.

What are some common challenges faced during a data analysis internship, and how can I overcome them?

As a Data Analysis Intern, one common challenge is working with large, complex datasets that may have missing or inconsistent information. Learning how to clean and preprocess data efficiently is crucial for meaningful analysis. Another challenge is understanding the business context behind the data, which often requires close collaboration with team members from different departments. To overcome these hurdles, proactively seek guidance from mentors, utilize available documentation, and regularly communicate with stakeholders to clarify project goals and data requirements.
What are the most commonly searched types of Data Analysis jobs in Silver Spring, MD? The most popular types of Data Analysis jobs in Silver Spring, MD are:
What are popular job titles related to Data Analysis Internship jobs in Silver Spring, MD? For Data Analysis Internship jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Data Analysis Internship jobs in Silver Spring, MD look for? The top searched job categories for Data Analysis Internship jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Data Analysis Internship jobs? Cities near Silver Spring, MD with the most Data Analysis Internship job openings:
Data Analysis Internship jobs near you
Infographic showing various Data Analysis Internship job openings in Silver Spring, MD as of July 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $48,390 per year, or $23.3 per hour.

Data Analyst Internship

ConnectPrep

Washington, DC • On-site, Remote

Other

Re-posted 3 days ago

Job description

About ConnectPrep: Our goal is to redefine "tutoring" - to use data, insight, and our extensive teaching experience find solutions for our students. ConnectPrep is about connecting - connecting students, parents, educators, and the community. We have bold ideas and an eye towards the future.
The Opportunity: We are offering a Data Analyst Internship for qualified candidates. This is a cross-disciplinary role, both instructional and technical. You'll engage with our team of educators to validate and iterate the models that drive our analytics. Our Data Analysts develop an understanding of our algorithms, the technologies and platforms that support our products, and our proprietary educational content. This knowledge will then be synthesized into actionable tests to build modules that will assist in identifying the academic needs of each individual student. You will engage with team members that think outside of the box, with the goal of improving education through the creation of a data infrastructure and insightful analytics.
Requirements
What we are looking for:
  • Core skills
  • You enjoy creative problem solving and working with messy, real-world data.
  • You have strong math/quantitative skills and excellent attention to detail.
  • You are curious about how data can improve learning and student outcomes.
  • Academic & technical background
    • You are studying (or have studied) Applied Mathematics, Statistics, Computer Science, Data Science, or a related field.
    • You have some coding experience and a strong interest in technology and AI.
    • You have experience with at least one of the following:
    • SQL, Python data tools (Pandas, NumPy, or similar)
    • Building simple data pipelines or analysis scripts in Python
  • Excel & analysis skills
  • You are comfortable doing serious work in Excel, including several of the following:
  • Advanced formulas and functions
  • Tables and formatting
  • Conditional formatting
  • Advanced charting and visualizations
  • Pivot tables and pivot reporting
  • Using Excel productively for analysis, not just basic spreadsheets
  • Data tables, simulations, and Solver
  • (Bonus) VBA and macros
  • AI, data, and analytics work you will support
  • Work with AI tools and workflows to support data-driven decision-making
  • Perform data mining and cleaning from multiple sources (web, internal trackers, marketing platforms)
  • Support projects involving AI and chatbot development for ConnectPrep's programs and website
  • Conduct SEO and keyword research to identify growth opportunities and track performance
  • Analyze website analytics (traffic, engagement, conversions) and prepare simple dashboards or summary reports
  • Assist with data analysis for marketing campaigns, content performance, and business operations
  • Help test, document, and iterate on new data and AI workflows as they are developed
  • Nice to have
  • Prior internship or project experience in data analysis, business intelligence, or marketing analytics
  • Familiarity with web analytics and marketing tools (for example, Google Analytics, GA4, Search Console, Looker Studio, or similar platforms)
  • Experience visualizing data in tools such as Tableau, Power BI, or Data Studio
  • Experience working with SEO tools or keyword platforms
  • Experience collaborating in remote or hybrid teams (Slack, Zoom, project management boards)

Benefits
Why join ConnectPrep?
  • Get in on the ground floor of an exciting new company, with the potential to help shape our direction
  • Be involved with a team that has bold ideas, with the goal of reinventing education across the globe
  • Gain valuable experience, meet technology innovators, and learn about the business side of our company

Sound Interesting?
Please submit your resume and letter of interest at careers@connectprep.com.
All applicants must be a U.S. Citizen or National of the U.S., an alien lawfully admitted for permanent residence, or an alien authorized to work in the U.S. for this employer. ConnectPrep is an equal opportunity employer EEO/M/F/D/V.

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