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Internship Meta Data Analyst Jobs in Virginia (NOW HIRING)

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 ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

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 · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

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

ncmec

Analyst I, Missing Child & Data Analysis Team (MCDAT) DATE PREPARED : June 2021 LOCATION ... Two years related work or internship experience preferred. * An equivalent combination of education ...

Commence

Health Data Analyst Intern

Virginia Beach, VA · On-site

$20/hr

The Health Data Analyst Intern supports the Commence Data team with entry-level analytic and data ... This is a part-time, temporary internship for one academic semester. It is designed to give the ...

Commence

Health Data Analyst Intern

Virginia Beach, VA · On-site +1

$20/hr

Requirements The Health Data Analyst Intern supports the Commence Data team with entry-level ... This is a part-time, temporary internship for one academic semester. It is designed to give the ...

Meta

Energy Integration Manager

Reston, VA

$160K/yr

Meta's energy footprint is scaling faster than any single team can assess end to end. We have deep specialist strength across data, analytics, asset management, and energy origination -- but the ...

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Internship Meta Data Analyst information

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 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 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 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.
Internship Meta Data Analyst jobs near you

Mid-Level Data Scientist

Leidos

Springfield, VA • On-site

$73K - $132K/yr

Full-time

Re-posted 4 days ago

Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

79th of 492 rated business services

Job description

Leidos is actively interviewing for a Mid-Level Data Scientist to join our team in Springfield, VA.
This team member will collect, process, and perform data analysis and deliver data driven solutions to quantitatively improve the mission area of Maritime Features. Surface, Publications, Events, Dissemination, Source Assessment, and Metrics.
We're looking for someone who thrives at the intersection of technology, analytics, and mission, and who is passionate about transforming geospatial data into actionable intelligence that drives smarter decisions and stronger outcomes.
Primary Responsiblities
  • Collect process data and perform data analysis.
  • Integrate centralized protect and maintain data in DBMS.
  • Clean massage and organized data.
  • Perform ad hoc analysis and present results in a clear manner.
  • Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization.
  • Assist with creation/deployment/maintenance of cloud applications to support migration of data and production processes
  • Assist with creation/maintenance of tools to extract features data and meta-data from a variety of sources, including Raster to vector-to-vector text to vector and text database.
  • Write/maintain Python scripts in Arc GIS to improve efficiency of the production process.
  • Assist in providing support to Business Processing Re-engineering.
  • Perform Data Conversion/migration
  • Assist with development and performance of automated Business Analytics.

Basic Qualifications
  • Typically requires a BA degree and 4 - 8 years of prior relevant experience or Master's with 2 - 6 years of prior relevant experience.
  • 1 - 3 years of experience in data science, including the areas of data collection processing exploitation, transformation services, modeling, and analytics.
  • 1 - 3 years of experience, using Tableau or equivalent Business Intelligence software and software server functions.
  • 3 - 5 years of demonstrated programming skills with the ability to write/maintain scripts, including Python and Java, scripts and familiar familiarity of querying with SQL. Knowledge and experience using developing code using versions control tools like get advance, knowledge and data science, including the areas of data services, modeling, and analytics.
  • Active TS/SCI clearance with ability to be approved for a CI Poly

Preferred Qualifications
  • 1 - 3 years of demonstrated experience performing geospatial data management, including data type conversions coordinate systems in (latitude and longitude, UTM) and their conversions and knowledge of projections and their properties/conversions.
  • Experience in combining, digital cartography, computer, technology, GIS, cartographic and geospatial, production techniques, remote, sensing photography and digital data formats.
  • Experience building dashboards/websites portraying data analytics.
  • Experience cleansing, structuring, large sets of data.
  • Experience performing data analysis to examine data from a variety of angles to determine hidden values, weaknesses, trends, and or opportunities next line knowledge of ESRI, ArcGIS/ArcPro and Arc Server
  • Experience with ESRI Workflow Manager, WMX and TAM
  • Knowledge of database systems and architecture
  • Ability writing SQL.
  • Understanding, cloud architecture, and Dev Ops.
  • Knowledge of symbolization rules.
  • Knowledge of generalization rules.
  • Experience working with geospatial data in multiuser enterprise environment.
  • Minimum 2 years of experience working with data quality control, tools, including ArcGIS data reviewer
  • Knowledge of metrics dissemination.
  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
  • Familiarity with emerging Artificial Intelligence (AI) technologies, tools, and methodologies, with an understanding of their applications, implications, and integration into daily geospatial and intelligence workflows.
  • Ability to convert structure data into structured Data

#GEOINTMISSION
#NSBA
If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.
Original Posting:
May 11, 2026
For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.
Pay Range:
Pay Range $73,450.00 - $132,775.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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