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Data Visualization Intern Jobs in Alexandria, VA

WSP

Transportation Planning Intern - Fall 2026

Washington, DC · On-site

$17.50 - $22.75/hr

The intern will gain exposure to a broad range of transportation planning and project development ... Use topographic maps, aerial photographs, GPS data, and other visualization tools to determine ...

WSP

Transportation Planning Intern - Fall 2026

Washington, DC · On-site

$17.50 - $22.75/hr

The intern will gain exposure to a broad range of transportation planning and project development ... Use topographic maps, aerial photographs, GPS data, and other visualization tools to determine ...

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All JobsData Visualization Intern JobsData Visualization Intern Jobs in Alexandria, VA

Data Visualization Intern information

See Alexandria, VA salary details

$9

$18

$25

How much do data visualization intern jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for data visualization intern in Alexandria, VA is $18.23, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $20.58 per hour, depending on experience, location, and employer.

What is a data visualization intern?

A Data Visualization Intern assists in transforming raw data into visual formats like charts, graphs, and dashboards to help communicate insights effectively. They work with tools such as Tableau, Power BI, or Python libraries like Matplotlib and Seaborn. Responsibilities often include cleaning and analyzing data, designing visual reports, and collaborating with teams to improve data storytelling. This role provides hands-on experience in interpreting data trends and enhancing decision-making through compelling visuals.

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

To thrive as a Data Visualization Intern, you need a strong background in data analysis, an understanding of basic statistics, and familiarity with design principles. Hands-on experience with tools like Tableau, Power BI, or Python visualization libraries, as well as relevant coursework or certifications, is highly valuable. Attention to detail, creative problem-solving, and effective communication skills set candidates apart. These competencies are essential for transforming complex data into clear and actionable insights that support decision-making within an organization.

What are the typical daily responsibilities of a data visualization intern?

As a Data Visualization Intern, your day-to-day tasks often include collecting and cleaning data sets, creating visual dashboards or reports, and collaborating with analysts and other team members to understand project requirements. You may be expected to use tools such as Tableau, Power BI, or programming languages like Python to translate data into interactive and informative visualizations. Additionally, you'll participate in meetings to present your findings, gather feedback, and iterate on your work. This dynamic environment offers opportunities to learn from experienced professionals while developing both your technical and communication skills.

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Data Visualization Intern jobs near you
Infographic showing various Data Visualization Intern job openings in Alexandria, VA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $37,927 per year, or $18.2 per hour.

WBG Pioneer - Blended Finance Data Analytics Intern

The World Bank Group

Washington, DC • On-site

Internship

Posted 24 days ago

Job description

WBG Pioneer

The International Finance Corporation (IFC)is the private sector arm of the World Bank Group and the largest globaldevelopment institution focused exclusively on the private sector in emergingmarkets and developing economies. IFC operates in more than 100 countries andworks with businesses, financial institutions, investors, and governments tocreate jobs and
As part of its strategy, IFC 2030, IFC isstrengthening its role as a platform for private capital mobilization, helpingto address development challenges by crowding in institutional and commercialinvestors at scale.

IFC's work focuses on creating andexpanding markets, supporting private sector growth, and generating sustainableemployment opportunities across key sectors including infrastructure,agribusiness, manufacturing, health, and tourism. Through investment,innovation, partnerships, and blended finance, IFC seeks to acceleratedevelopment impact while supporting job creation and economic resilience.

ThePartnerships & Blended Finance (CBF) Department plays a critical role inadvancing IFC's strategic objectives by mobilizing concessional catalyticcapital and donor resources, managing relationships with bilateral andmultilateral development partners, foundations, philanthropies, and otherstrategic stakeholders, and deploying blended finance solutions that helpde-risk investments and attract private capital into high-impact projects. Thedepartment supports IFC's efforts to expand investment opportunities infrontier and emerging markets, particularly in areas where commercial financingalone is insufficient to address market barriers or perceived risk

ThePortfolio Operations (CBFPO) unit in CBF oversees the integration of blendedfinance and fundraising operations into IFC's systems and processes,strengthens portfolio supervision, improves operational efficiency, andprovides analytics, automation, and reporting.

Duties and Responsibilities

TheBlended Finance Data Analytics Intern will be part of the CBFPO unit and willsupport data analytics, reporting automation, and the development ofdata-driven insights for Blended Finance and fundraising operations.

Contribute to Blended Finance and Fundraising analytics by identifying trends, drivers, performance patterns, and forward-look recommendations to Management.

Apply advanced data analytics, visualization, and AI-enabled techniques to generate insights from Blended Finance and Fundraising data.

Explore opportunities to leverage artificial intelligence (AI), machine learning, and generative AI solutions to improve data quality and data gaps.

Apply