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Internship Data Visualization Intern Jobs in Silver Spring, MD

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 ...

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 ...

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All JobsData Visualization Intern JobsInternship Data Visualization Intern JobsInternship Data Visualization Intern Jobs in Silver Spring, MD

Internship Data Visualization Intern information

See Silver Spring, MD salary details

$9

$17

$24

How much do internship data visualization intern jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for internship data visualization intern in Silver Spring, MD is $17.89, according to ZipRecruiter salary data. Most workers in this role earn between $14.90 and $19.90 per hour, depending on experience, location, and employer.

What does a data visualization intern do?

A Data Visualization Intern assists in transforming raw data into visual formats such as charts, graphs, and dashboards to help organizations understand trends and make data-driven decisions. They work with tools like Tableau, Power BI, or Python libraries to create visual representations of data, often collaborating with data analysts and other team members. Their responsibilities may also include cleaning data, preparing reports, and presenting findings in a clear and accessible manner. This role is ideal for students or recent graduates interested in data analytics, design, and technology.

What types of projects does a data visualization intern typically work on during their internship?

As a Data Visualization Intern, you can expect to work on a variety of projects that involve transforming raw data into compelling visual stories. Typical responsibilities include assisting with the creation of dashboards, charts, and interactive reports to help different teams make data-driven decisions. Interns often collaborate closely with data analysts, UX designers, and other stakeholders to ensure that visualizations are both informative and user-friendly. These experiences not only build technical skills in tools like Tableau or Power BI but also strengthen communication and teamwork abilities, which are highly valued in the field.

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

To thrive as a Data Visualization Intern, you generally need a foundation in data analysis, understanding of visualization principles, and coursework or experience in statistics or computer science. Familiarity with tools such as Tableau, Power BI, or D3.js, as well as proficiency in programming languages like Python or R, is typically expected. Strong attention to detail, creativity, and effective communication skills help you transform complex data into clear, actionable visuals. These skills enable you to present insights in a compelling way, supporting informed decision-making and effective storytelling within the organization.

What is the difference between Internship Data Visualization Intern vs Data Analyst Intern?

AspectInternship Data Visualization InternData Analyst Intern
Required SkillsData visualization tools, basic analytics, programming (e.g., Excel, Tableau, Power BI)Data analysis, statistical skills, programming (e.g., SQL, Python)
Work EnvironmentCollaborative, project-based, often in tech or marketing firmsResearch-focused, cross-departmental, in various industries
Typical EmployerTech companies, marketing agencies, consulting firmsFinancial institutions, healthcare, tech companies

While both roles involve working with data, the Internship Data Visualization Intern primarily focuses on creating visual representations of data to communicate insights, whereas the Data Analyst Intern performs broader data analysis tasks, including statistical evaluation and data cleaning. The visualization intern role emphasizes tools like Tableau or Power BI, while the analyst role requires skills in SQL or Python. Both internships are valuable entry points in data careers, often found in similar industries and work environments.

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Internship Data Visualization Intern jobs near you

Applied Data Scientist Internship (DoW SkillBridge)

IntelliGenesis

Columbia, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 21 days ago

Job description

Applied Data Scientist Internship (DoW SkillBridge)
The DoW SkillBridge Program is an opportunity for service members too gain valuable civilian work experience through specific industry training, apprenticeships or internships during the last 180 days of military service. DoW SkillBridge connects transitioning service members with industry partners in real-world job experiences. Service members participating in DoW SkillBridge programs continue receiving their military compensation and benefits, while industry partners provide the civilian training and work experience. More information can be found here: https://skillbridge.osd.mil/index.htm
 

Eligibility Requirements:

  • Meet all DoW SkillBridge qualifications set forth in DODI 1322.29
  • Served at least 180 days on active duty
  • Within 180 days of separation or retirement
  • Will receive an honorable discharge
  • Has taken any service TAPS/TGPS
  • Has attended or participated in an ethics brief within the last 12 months
  • Received Unit Commander (first O-4/Field Grade commander in chain of command) written authorization and approval to participate in DoD SkillBridge Program prior to start of internship

Duration:

  • 90-180 days

Requirements:

  • Must be a U.S. Citizen
  • Active TS/SCI clearance with polygraph required
  • Must be able to report daily to Columbia, MD office
  • Minimum of six (6) years of experience performing data-analysis on collected information to pinpoint unique insight and intelligence opportunities within the data
  • Experience within at least two (2) of the following skill areas: 
    • Mathematics/Statistics
    • Computer Science
    • Scripting
    • Cloud Computing
    • Data Mining, Metadata Analysis or Machine Learning
    • Artificial Intelligence
    • Data Visualization or Data Automation. 
    • Data science
    • Advanced analytical algorithms
    • Statistical analysis (e.g., variability, sampling error, inference, hypothesis testing, EDA, application of linear models)
    • Data management (e.g., data cleaning and transformation)
    • Data modeling and assessment
    • Artificial intelligence
    • Software engineering
  • Experience constructing and performing complex database search queries 
  • Experience/knowledge of computer science concepts

Desired Skills:

  • Ideal Candidates would be from one of the following Military Occupational Skill Communities:
    • Air Force – (1N4)
    • Marine – (2611, 2629)
    • Army – (35N, 352N, 17C, 170A)
    • Navy
      • CTR (C18A/9147, C19A/9149)
      • CTN (H11A/9319, H12A/9318, H13A/9308, H14A/9326, H15A/9327, H16A/9328, H33A, H34A)
  • Experience or familiarity with data analytics and/or the following advanced scripting languages and tools:
    • Python,
    • SQL
    • Jupyter
    • Pig
    • ELK Stack
    • Splunk
    • PowerBI
    • Jupyter Notebooks

_____________________________________________________________________________________________________

Compensation ranges encompass a total compensation package and are a general guideline only and not intended as a guaranteed and/or implied final compensation or salary for this job opening. Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, candidate’s scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements and alignment with local market data.

Our compensation includes other indirect financial components designed to support employees’ total well-being, which should be considered when evaluating our competitive benefits package. These monetary benefits include medical insurance, life insurance, disability, paid time off, maternity/paternity leave, 401(k) company match, training/education reimbursements and other work/life programs.

_____________________________________________________________________________________________________

IntelliGenesis is committed to providing equal opportunity to all employees and applicants for employment. The Company is an Equal Opportunity Employer (EOE), and as such, does not tolerate discrimination, retaliation, or harassment of its employees or applicants based upon race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or any other protected characteristic under local, state, or federal law in any employment practice. Such employment practices include, but are not limited to: hiring, promotion, demotion, transfer, recruitment, or recruitment advertising, selection, disciplinary action layoff, termination, rates of pay, or other forms of compensation and selection of training.

IntelliGenesis is committed to the fair and equal employment of individuals with disabilities. It is the Company’s policy to reasonably accommodate qualified individuals with disabilities unless the accommodation would impose an undue hardship on the organization. In accordance with the Americans with Disabilities Act (ADA) as amended, reasonable accommodations will be provided to qualified individuals with disabilities, when such accommodations are necessary, to enable them to perform the essential functions of their jobs or to enjoy the equal benefits and privileges of employment. This policy applies to all applicants for employment and all employees.

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