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Internship Meta Data Analyst Jobs in Washington (NOW HIRING)

Leidos

Mid-Level Data Scientist

Springfield, VA

$73K - $132K/yr

This team member will collect, process, and perform data analysis and deliver data driven solutions ... meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text ...

Leidos

Mid-Level Data Scientist

Springfield, VA · On-site

$73K - $132K/yr

This team member will collect, process, and perform data analysis and deliver data driven solutions ... meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text ...

Omnicom

Analyst, Analytics

Washington, DC

Data and Analytics Job Subfunction: Data Science and Analytics Who We Are Weber Shandwick is more ... What You'll Bring Basic Qualifications: 0-2 years of relevant internship or full-time experience in ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · Hybrid

Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI through work, academic, internship, or project experience. * Interest in aviation, association management ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · On-site

Experience with BI tools, dashboards, data visualization, analytics, machine learning, or AI through work, academic, internship, or project experience. * Interest in aviation, association management ...

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Internship Meta Data Analyst information

What is an internship meta data analyst?

Internship Meta Data Analysts are interns who assist organizations in collecting, organizing, and analyzing data about data—referred to as metadata. Their role typically involves working with large datasets, ensuring accuracy and consistency of data labels, and supporting data-driven decision-making processes. These interns may also help develop systems for managing metadata, improve data quality, and support various business or research projects. The internship provides hands-on experience in data analytics and helps build foundational skills for a career in data science or information management.

What are the key skills and qualifications needed to thrive as an internship meta data analyst?

To thrive as an Internship Meta Data Analyst, you need a solid understanding of data analysis, database concepts, and metadata management, often supported by coursework in computer science, information systems, or a related field. Familiarity with tools such as SQL, Excel, Python, and metadata management platforms is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills in this role. These skills are essential for accurately organizing, interpreting, and presenting metadata to support data-driven decision-making within organizations.

What are some common challenges faced by internship meta data analysts, and how can they effectively overcome them?

Internship Meta Data Analysts often encounter challenges such as managing large volumes of complex data, ensuring data accuracy, and adapting to rapidly changing project requirements. To overcome these obstacles, it's helpful to develop strong organizational skills, seek guidance from experienced team members, and utilize data management tools provided by the company. Open communication and proactive problem-solving can also help interns navigate the learning curve and contribute effectively to the team.

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

AspectInternship Meta Data AnalystData Analyst
Required CredentialsCurrently pursuing or recently completed a degree in data science, statistics, or related fieldBachelor's or master's degree in data science, statistics, or related field
Work EnvironmentInternship setting, often part-time or temporary, in tech or data-driven companiesFull-time or part-time roles in various industries like finance, healthcare, or tech
Employer & Industry UsageUsed by companies for training and entry-level talent in data and tech sectorsWidely employed across industries for data analysis and decision-making

The main difference is that an Internship Meta Data Analyst is an entry-level, temporary position aimed at gaining experience, while a Data Analyst is a full-time role requiring more experience and responsibilities. Internships serve as a stepping stone into the data industry, whereas Data Analysts typically handle ongoing data projects and analysis tasks.

What are the most commonly searched types of Meta Data Analyst jobs in Washington?

The most popular types of Meta Data Analyst jobs in Washington are:

What cities in Washington are hiring for Internship Meta Data Analyst jobs?

Cities in Washington with the most Internship Meta Data Analyst job openings:

Internship Meta Data Analyst jobs near you

Junior Data Analyst - Legis1

Sunwater Capital

North Bethesda, MD • On-site

$65K - $78K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

About Legis1

Legis1 is a congressional intelligence platform that goes beyond tracking legislation to reveal who's actually driving it. By combining over 45 years of congressional and lobbying data, we connect bills, lawmakers, staff, lobbyists, and funders into a single networked intelligence system. Spun out of the nonpartisan Sunwater Institute in 2025, Legis1 is built for professionals who need to understand how policy and influence really move through Washington.

In Q3 2026, Legis1 Inc. launched AllCiv, a civic engagement, political data, and citizen-facing media platform that brings this same intelligence to the public through civic technology, transparency tools, and AI-assisted engagement.

POSITION

We're looking for a Junior Data Analyst to join our Data team and support Legis1, our legislative intelligence platform. This role sits at the intersection of politics and data, you'll work closely with the day-to-day integrity of the political data that powers Legis1, while using SQL and modern AI-assisted tools to generate insights for stakeholders across the company.

This is an ideal position for someone who has a genuine passion for politics, government, and how Congress works, and who wants to apply that knowledge in a data-driven role. We are specifically looking for candidates with a political background and hands-on exposure to political data, not generalist data analysts.

RESPONSIBILITIES 

  • Collect, maintain, and monitor Legis1 data to ensure accuracy and completeness
  • Use SQL and AI-assisted tools (e.g., Claude Code) to query databases and generate reports that support internal stakeholders across product, data, sales, and marketing teams
  • Research new potential data sources and develop a solid understanding of the underlying legislative/political subject matter
  • Build data ingestion pipelines and scrapers
  • Own day-to-day quality control of the data on Legis1
  • Identify, investigate, and resolve data quality-related bugs
  • Collaborate cross-functionally to translate data findings into actionable insights

REQUIRED EXPERIENCE

  • A deep understanding of U.S. politics and how Congress operates (legislative process, committees, bill tracking, etc.)
  • Hands-on experience working with political data - whether through academic coursework, internships, research projects, campaigns, or prior work experience
  • A basic understanding of SQL, with the ability to write and troubleshoot queries
  • Exposure to or interest in using LLM tools (such as Claude Code or Codex) to assist with data analysis and reporting
  • Strong attention to detail and a quality-first mindset when it comes to data accuracy
  • Curiosity and initiative to research and evaluate new data sources independently
  • Excellent written and verbal communication skills to work with both technical and non-technical stakeholders

PREFERRED EXPEREINCE

  • Prior experience with legislative tracking tools or government data platforms
  • Prior experience with voter file data or software
  • Familiarity with data visualization or reporting tools
  • Experience working in a fast-paced startup or SaaS environment
$65,000 - $78,000 a year

Benefits: Paid comprehensive health insurance (including dental and vision), 401(k) with company matching, and generous paid time off.

#Legis1

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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