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Data Analysis Intern Jobs in Washington, DC (NOW HIRING)

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Data Analysis Intern information

See Washington, DC salary details

$13

$25

$47

How much do data analysis intern jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for data analysis intern in Washington, DC is $25.48, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $27.74 per hour, depending on experience, location, and employer.

Is a data analysis intern internship worth it?

A data analysis intern internship provides practical experience with data tools like Excel, SQL, and Python, and helps develop analytical skills valuable for future roles. It can enhance a resume, offer networking opportunities, and improve job prospects in data-related fields. The value depends on the internship's quality and the skills gained, but it generally offers meaningful industry exposure for entry-level candidates.

What would a data analysis intern do?

A data analysis intern assists in collecting, cleaning, and analyzing data to identify trends and support decision-making. They often use tools like Excel, SQL, or Python and may create reports or visualizations to communicate findings under supervision.

Can I do a data analysis intern internship?

Yes, a data analysis intern internship is typically available for students or entry-level candidates interested in developing skills in data manipulation, statistical analysis, and tools like Excel, SQL, or Python. Internships usually require relevant coursework or basic knowledge of data analysis concepts and may be part-time or summer positions.

What are some common challenges faced by data analysis interns during their internship, and how can they overcome them?

Data Analysis Interns often encounter challenges such as working with large, unstructured datasets and learning to use new analysis tools or programming languages. Navigating ambiguous project requirements and balancing multiple deadlines can also be difficult. To overcome these obstacles, interns are encouraged to proactively communicate with their mentors, seek feedback regularly, and make use of available resources such as online tutorials or internal documentation. Collaborating with teammates and asking questions fosters learning and helps interns efficiently resolve roadblocks.

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

AspectData Analysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time role, more independent responsibilities
Employer & Industry UsageInternships in various industries, educational focusEstablished roles in finance, tech, healthcare, etc.
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill requirements

The main difference between a Data Analysis Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling more complex tasks independently. Internships serve as stepping stones toward becoming a full Data Analyst.

What does a data analysis intern do?

A data analysis intern supports a data analyst while obtaining valuable practical experience to pursue a position in the field. Your responsibilities in this position include delivering data, formatting information, querying databases for sales, marketing, accounting, and other departments, developing and updating reports, and assisting with projects when needed. Your duties also include evaluating analysis systems, collaborating with other teams, responding to requests for analysis, and investigating data discrepancies. You collect information and review the model to offer recommendations.

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

To thrive as a Data Analysis Intern, you should have a solid understanding of statistics, data management, and analytical thinking, often supported by coursework in mathematics, statistics, or a related field. Familiarity with tools like Excel, SQL, Python, or R, as well as data visualization platforms such as Tableau or Power BI, is typically expected. Attention to detail, problem-solving abilities, and effective communication help interns interpret data accurately and present insights clearly. These skills are vital for transforming raw data into actionable insights that support business decision-making.

What are the most commonly searched types of Data Analysis jobs in Washington, DC?

The most popular types of Data Analysis jobs in Washington, DC are:

Infographic showing various Data Analysis Intern job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $52,996 per year, or $25.5 per hour.

WBG Pioneer - Data Analysis Intern

World Bank Group

Washington, DC โ€ข On-site

Other

Posted 2 days ago

New


Job description

WBG Pioneer - Data Analysis Intern
Job #:
req37848
Organization:
World Bank
Grade:
T4 (No-fee)
Location:
Washington, DC,United States
Hiring Manager:
Tea Trumbic
Required Language(s):
Preferred Language(s):
Closing Date:
8/12/2026 (11:59pm UTC)
Description
WBG Pioneers, the World Bank Group's Internship Program, offers undergraduate and postgraduate students a high impact learning experience at the heart of global development. Participants gain hands on experience in a diverse and dynamic environment, contribute fresh perspectives and innovative ideas, and connect with international professionals working to end poverty on a livable planet.
WBG Pioneer
Background/Organizational Context
The World Bank Group'sWomen, Business and the Law (WBL) project examines laws and regulationsaffecting women's prospects as entrepreneurs and employees across 190economies. Its goal is to inform policy discussions on how to remove legalrestrictions on women and promote research on how to improve women's economicinclusion. The Women, Business and the Law index serves as a road mapfor reform by capturing three interdependent pillars that together shapewomen's access to jobs: laws, policies and institutions, andenforcement perceptions across ten topics: Safety, Mobility, Work,Pay, Marriage, Parenthood, Childcare, Entrepreneurship, Assets, and Pension.
Duties and Responsibilities
Data Preparation, Cleaning, and Quality Control:
Clean, validate, and reconcile large, multi-source datasets, identifying and correcting errors in data values, structures, and formulas.
Develop and apply systematic processes to standardize, map, and reconcile data across teams, systems, and file formats, while using automated checks to flag inconsistencies for review.
Prepare API-ready data outputs, including JSON files, for data feeds, website visualizations, and other digital applications.
Develop and implement data-cleaning protocols, validation rules, and automated quality checks.
Conduct data audits and produce monitoring and quality-assurance reports to identify issues and track their resolution.
Data Analysis:
Analyze data to identify trends, patterns, and actionable insights, and prepare analytical, progress, and monitoring reports using tools such as Excel or Python.
Present findings clearly to technical and non-technical audiences through reports, presentations, and other communication products.
AI Integration:
Pilot AI-powered workflow to enhance data quality, integrity, and operational efficiency.
Conduct AI-driven analysis to support data validation and insights generation.
Establish monitoring and evaluation mechanisms to track AI model performance and ensure continuous improvement.
Ensure transparency and documentation of AI workflows, including prompt engineering, versioning, and reproducibility.
Suggest ways to automate verification of survey responses with primary data sources, check survey responses against each other and follow up with respondents until a final, verified country profile is produced.
Identify and mitigate risks related to bias, accuracy, and reliability of AI-generated outputs.
Data Visualization:
Interpret complex datasets and develop clear, intuitive visualization concepts that communicate key findings to technical and non-technical audiences.
Develop prototypes, mock-ups, and data visualization products for dashboards, websites, reports, and other digital applications, using tools such as Tableau, Flourish, Power BI, or similar platforms to create compelling, user-friendly visualizations.
Selection Criteria
A master's candidate in data analytics, data science, statistics, computer science, machine learning, artificial intelligence, information technology, or an equivalent field.
Strong proficiency in a programming language such as Python, with experience managing, cleaning, and analyzing large datasets. Familiarity with JavaScript and SQL is a plus.
Advanced Microsoft Excel skills, including formulas and data management.
Experience using AI-assisted workflow to conduct legal research is a strong plus.
Experience integrating AI solutions to improve system automation is preferred.
Demonstrated ability to analyze data, translate findings into actionable insights, and communicate results to technical and non-technical audiences.
Strong attention to detail, initiative, and the ability to work independently while managing multiple priorities.
Excellent interpersonal, teamwork, and English communication skills, with the ability to work effectively in a multicultural environment.
No-Fee Internship Eligibility
This position is offered under the WBG Pioneers No-Fee Internship Track. Students may be offered a no-fee STT appointment provided that they either: (a) are enrolled in a Master's, PhD, or similar graduate program during the entire internship (or are in the fifth year or higher of a degree program in countries where higher education is not divided into undergraduate and graduate stages) and provide an official letter from their university confirming that the internship fulfills academic requirements for at least one term of study; or (b) are enrolled in undergraduate or graduate studies and receive a stipend from their university at least equivalent to the minimum STT T1 fee level in effect at the start of the assignment, as confirmed by an official university letter.
Note: Please limit your applications to a maximum of three positions. Applications exceeding this limit will not be considered.
WBG Culture Attributes:
1. Sense of urgency: Anticipate and quickly respond to the needs of internal and external stakeholders.
2. Thoughtful risk-taking: Challenge the status quo and push boundaries to achieve greater impact.
3. Empowerment and accountability: Empower yourself and others to act and hold each other accountable for results.
The World Bank Group values diversity and encourages all qualified candidates who are nationals of World Bank Group member countries to apply, regardless of gender, gender identity, religion, race, ethnicity, sexual orientation, or disability. Sub-Saharan African nationals, Caribbean nationals, and female candidates are strongly encouraged to apply.