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Internship Data Visualization Jobs (NOW HIRING)

Dhalite Inc.

Entry-Level Data Analyst

Dallas, TX · On-site

... internships in business intelligence, data analysis, or reporting Familiarity with at least one data visualization tool Basic knowledge of statistics Strong analytical and problem-solving skills Good ...

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Internship Data Visualization information

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How much do internship data visualization jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for internship data visualization in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What is an internship data visualization?

Internship data visualization roles are entry-level positions where interns learn to create visual representations of data to help organizations make data-driven decisions. These roles typically involve working with tools like Tableau, Power BI, or Python libraries to turn raw data into charts, graphs, and dashboards. Interns gain hands-on experience by assisting with data cleaning, analysis, and reporting tasks, while learning best practices in presenting complex information clearly and effectively. These internships are a great way for students and recent graduates to develop technical and analytical skills in a real-world setting.

What types of projects and tools can I expect to work with during a data visualization internship?

As a Data Visualization intern, you will typically collaborate with data analysts and business stakeholders to create visual representations of complex datasets. You can expect to work on projects such as interactive dashboards, infographics, and reports using tools like Tableau, Power BI, or open-source libraries such as D3.js and Plotly. Interns often assist in cleaning and preparing data, designing visual layouts, and presenting findings to team members. This role offers valuable exposure to both technical and creative aspects of data storytelling, and provides a strong foundation for future roles in data analytics or visualization.

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

To thrive as an Internship Data Visualization, you need a solid understanding of data analysis, basic statistics, and proficiency with visualization concepts, often supported by coursework in computer science, statistics, or related fields. Familiarity with tools such as Tableau, Power BI, Excel, or programming languages like Python (with libraries such as Matplotlib or Seaborn) is typically expected. Attention to detail, creativity, and effective communication skills help interns present data insights clearly to diverse audiences. These skills ensure that data-driven stories are accurately and compellingly conveyed to support decision-making.

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

AspectInternship Data VisualizationData Analyst Intern
Required SkillsData visualization tools, basic analytics, programming (e.g., Excel, Tableau, Power BI)Data analysis, statistical skills, programming (e.g., SQL, Python), visualization
Work EnvironmentProject-based, collaborative teams, entry-levelData-focused projects, cross-departmental collaboration, entry-level
Industry UsageMarketing, finance, tech, researchBusiness, finance, healthcare, tech

Internship Data Visualization focuses on creating visual representations of data to communicate insights, often using tools like Tableau or Power BI. Data Analyst Interns perform broader data analysis, including statistical evaluation and data cleaning. Both roles are entry-level, require basic technical skills, and are used across various industries. The main difference lies in the emphasis: visualization versus comprehensive data analysis.

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Internship Data Visualization jobs near you
Infographic showing various Internship Data Visualization job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

AI/Data Science Training/Curriculum Developer (DoW SkillBridge)

IntelliGenesis LLC

Columbia, MD • On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 25 days ago

Job description

AI/Data Science Training Manager/Curriculum Developer (DoW SkillBridge - Cybersecurity, Data Science, and Artificial Intelligence Focus)
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. 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
Position Overview:
As a Training Manager / Curriculum Developer, you will support the design and delivery of technical training programs supporting Intelligence, Cyber, Data Science, and Artificial Intelligence (AI) professionals. You'll work closely with subject matter experts (SMEs), instructional designers, and leadership teams to create training that supports mission-critical national security efforts and advanced analytics capabilities. This position offers hands-on exposure to real-world curriculum development and the chance to shape the next generation of technical professionals in Intelligence, Cybersecurity, and Artificial Intelligence. A perfect fit for those passionate about mentorship, training innovation, and national defense.
Position Requirements:
  • Must be a US Citizen
  • Active TS/SCI clearance/polygraph required
  • Must be able to report daily to Columbia, MD office
  • Strong understanding of IC mission, tools, and workflows
  • Experience in developing, modernizing, or delivering technical training
  • Familiarity with curriculum development methodologies and instructional systems design (ISD) principles
Minimum six (6) years of experience in one or more of the following fields:
  • Data Science / Data Analytics
  • Machine Learning / Artificial Intelligence
  • Signals Analysis
  • SIGINT Metadata Analysis
  • Cyber Threat Intelligence
  • Target Digital Network Analysis
  • Digital Network Exploitation Analysis
  • Malware Analysis
  • Cloud-based Data Pipelines
  • Conducting Network Vulnerability Assessments
Ideal Candidates Come From the Following Military Occupational Skill Communities:
  • Air Force: 1N4, 3D0, 3D1
  • Marine Corps: 2611, 2629, 1721
  • Army: 17C, 170A, 35N, 352N
  • Navy: CTN, CTR, IW Officers
Desired Training or Certifications:
  • Master Training Specialist (MTS)
  • Common Faculty Development-Instructor Course (CFD-IC)
  • Army Basic Instructor Course (ABIC)
  • Air Force Basic Instructor Course (BIC)
  • Adjunct Faculty (ADET, NCS, NCU)
  • AI/ML Certifications (e.g., Coursera, edX, or vendor-based certifications from AWS, Google, Microsoft)
  • Data Science Bootcamps or equivalent experience
Bonus Experience:
  • Familiarity with Jupyter Notebooks, Python, R, or SQL
  • Experience with data visualization tools (Power BI, Tableau, etc.)
  • Knowledge of DoD 8140 workforce frameworks, especially Data & AI Work Roles
  • Experience working with training accreditation processes (e.g., ISO 17024, ACE CREDIT, NCCET, etc.)
This position offers hands-on exposure to real-world curriculum development and the chance to shape the next generation of technical professionals in Intelligence, Cybersecurity, and Artificial Intelligence. A perfect fit for those passionate about mentorship, training innovation, and national defense.
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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