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Analysis Intern Jobs in Washington, DC (NOW HIRING)

AARP

Data Analyst Intern

Washington, DC · On-site

$28/hr

As a Data Analyst Intern, you will have the opportunity to work closely with our dedicated team ... Providing support for data analysis and reporting activities * Assisting in collecting, cleaning ...

Immersion Consulting

ANALYST (Intern)

Annapolis, MD · On-site

As an Analyst you will be growing your analytical skills, maintain high motivation, desiring autonomy and empowerment to manage self through engagement delivery. * High aptitude for learning while ...

Novoco

Real Estate Analyst Intern

Washington, DC

$18 - $20/hr

Position Summary The Junior Analyst Intern position is responsible for performing multifamily real ... This includes collecting and coalescing pertinent market data, assisting in market analysis and ...

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Analysis Intern information

What is an analysis intern?

Analysis Interns are students or recent graduates who assist organizations with research, data collection, and analytical tasks. They typically support senior analysts or managers by gathering data, performing basic statistical analysis, and preparing reports. These internships are designed to provide hands-on experience in analytical methods, problem-solving, and industry-specific tools. Analysis Interns often work in fields like finance, consulting, marketing, or operations and gain valuable exposure to real-world business challenges.

What types of projects and tasks can I expect to work on as an analysis intern?

As an Analysis Intern, you can expect to support data collection, data cleaning, and basic quantitative or qualitative analysis for ongoing projects. You'll often assist more senior analysts with preparing reports, visualizations, and presentations, and may participate in meetings to discuss findings. Interns frequently collaborate with team members from various departments, gaining exposure to different business functions and analytical techniques. This hands-on experience helps build foundational skills and can lead to greater responsibilities as you demonstrate your capabilities.

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

To thrive as an Analysis Intern, you need a solid grasp of data analysis, critical thinking, and quantitative skills, often supported by coursework in statistics, economics, or related fields. Familiarity with tools like Microsoft Excel, SQL, and data visualization software such as Tableau or Power BI is typically required. Strong attention to detail, effective communication, and a willingness to learn set exceptional interns apart. These skills and qualities are crucial for delivering actionable insights, supporting team projects, and developing professional analytical abilities.

What is the difference between Analysis Intern vs Data Analyst?

AspectAnalysis InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, sometimes certifications
Work EnvironmentInternship setting, entry-level tasks, supervisedFull-time, professional environment, independent analysis
Employer & Industry UsageInternships in finance, consulting, tech, etc.Across industries including finance, healthcare, marketing

The main difference between an Analysis Intern and a Data Analyst lies in experience and responsibilities. Interns are usually students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals performing detailed data analysis independently. Internships serve as training grounds, whereas Data Analysts contribute directly to business decisions.

Analysis Intern jobs near you

WBG Pioneer - Geospatial Data Analysis Intern

The World Bank Group

Washington, DC • On-site

Internship

Re-posted 4 days ago

Job description

The Trade Policy and Facilitation Unit is developing a quantitative spatial model to assess the spatial economic impacts of logistics infrastructure, logistics and trade facilitation policies, and trade policies at the national and regional levels. Building on a cities spatial model developed jointly by the International Growth Centre (IGC) and the World Bank, the unit intends to extend this framework beyond the city level and to develop it in partnership with the Development Economics (DEC) group, the Transport global practice, and external partners. The model is intended to complement the unit's existing computable general equilibrium (CGE) analysis. 

This work also builds on a long tradition of World Bank analysis of the sub-national geography of trade, including work on lagging regions and their connection to global markets, and seeks to capture the substantial methodological and data advances that have emerged since. Robust spatial analysis of this kind depends critically on the assembly, cleaning, and structuring of high-quality geospatial data used to parameterize and run the model. 

The intern will support this effort within the Trade Policy and Facilitation Unit, contributing to the compilation and preparation of geospatial datasets and to the operation of the quantitative spatial model, under the supervision of the project team. 

Duties and Responsibilities 

Under the guidance of the project lead, the intern will: 

Compile, clean, and structure the geospatial data required to parameterize and run the quantitative spatial ("cities") model, extending it from the city level to the national and regional levels. 

Assemble and process key spatial inputs - including road and transport networks, population grids, terrain data, port and trade-node locations (e.g., PortWatch), and travel-time layers - into model-ready formats. 

Run the spatial model with the prepared data to assess the spatial economic impacts of logistics infrastructure, trade facilitation measures, and trade policies, in coordination with DEC, Transport, and external partners. 

Construct population-weighted accessibility and remoteness indicators to key trade nodes and correlate them with granular socio-economic data. 

Produce maps, interactive dashboards, and other visual outputs to support diagnostics, model validation, and dissemination. 

Contribute to note writing, presentations, and other analytical and dissemination products, and document data sources, methods, and code for reproducibility. 

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