1

Internship Data Visualization Jobs in Phoenix, AZ

Architecture Intern

Phoenix, AZ · On-site

$20 - $24/hr

Internship Program Overview We maintain a robust and diverse internship program that offers ... Compile data and summaries to support project decisions * Field Work & Site Observation

Architecture Intern

Phoenix, AZ · On-site

$20 - $24/hr

Internship Program Overview We maintain a robust and diverse internship program that offers ... Compile data and summaries to support project decisions Field Work & Site Observation * Participate ...

Job Page

Phoenix, AZ · On-site

$60.50K - $66K/yr

... and internship opportunities, AHCCCS offers meaningful career opportunities in a competitive ... data or visualization problems. Develop job aids and deliver training (group and one-on-one) on ...

next page

Showing results 1-20

Internship Data Visualization information

See Phoenix, AZ salary details

$11

$22

$41

How much do internship data visualization jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship data visualization in Phoenix, AZ is $22.34, according to ZipRecruiter salary data. Most workers in this role earn between $17.16 and $24.33 per hour, depending on experience, location, and employer.

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 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 internship data visualization roles?

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 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.

What are the most commonly searched types of Data Visualization jobs in Phoenix, AZ? The most popular types of Data Visualization jobs in Phoenix, AZ are:
What cities near Phoenix, AZ are hiring for Internship Data Visualization jobs? Cities near Phoenix, AZ with the most Internship Data Visualization job openings:
GIS Analyst 1

Full-time

Posted 14 days ago


Job description

Job Title
GIS Analyst 1
Job Category
Exempt
Reports To
GIS Manager
Location
Scottsdale, AZ (Hybrid)
Job Description & Overview
The GIS Analyst 1 supports the development, maintenance, and analysis of spatial data used to deliver geospatial services and solutions related to telecommunications networks. This entry-level role assists with mapping, data validation, research, and geospatial data maintenance while developing foundational GIS and telecommunications knowledge. The GIS Analyst 1 works collaboratively with team members to support operational objectives, maintain data quality standards, and contribute to the successful delivery of client and internal projects.
This role contributes to the delivery of high-quality geospatial intelligence and telecommunications data solutions that support operational, analytical, and client-driven objectives. The position also provides opportunities to expand GIS, database, and telecommunications knowledge within a collaborative and technically focused environment.
Educational & Experience Requirements
  • Bachelor's degree in Geographic Information Systems, Geography, related degree, or equivalent experience
  • 0-2 years of experience using GIS in a professional, academic, or internship setting
  • Preferred cumulative GPA of 3.0 or higher
Required Qualifications
  • Proficiency with Microsoft Office applications
  • Familiarity with core GIS principles, spatial analysis, and geospatial workflows
  • Familiarity with relational database concepts and RDBMS environments
  • Familiarity with cartographic design and visualization practices
  • Proficiency using ArcGIS Pro and ArcGIS Online
  • Strong analytical, research, and problem-solving skills with attention to data accuracy and quality
  • Demonstrated ability to manage priorities, meet deadlines, and adapt to changing business needs
  • Ability to work independently and collaboratively in a team-oriented environment
  • Effective verbal, written, and interpersonal communication skills
  • High level of professionalism, integrity, and accountability
  • Ability to quality check data records in accordance with established company processes and standards
  • US Citizenship required
  • Eligibility and willingness to obtain a US Security Clearance
Preferred Qualifications
  • Familiarity with transforming various data types into geospatial data layers within ArcGIS Pro
  • Familiarity with writing basic queries using Oracle SQL, PostgreSQL, and Python
  • Experience with geospatial data management workflows and metadata maintenance
  • Interest in telecommunications networks, infrastructure, and geospatial intelligence solutions
Responsibilities
  • Understand and demonstrate corporate core values
  • Develop, maintain, and enhance geospatial datasets, metadata, and associated attribute information
  • Support mapping, spatial analysis, and geospatial visualization efforts to meet operational and client requirements
  • Research, validate, and analyze data from multiple sources to support accurate geospatial intelligence and operational decision-making
  • Collaborate with cross-functional teams to support geospatial initiatives and project deliverables
  • Maintain data accuracy, consistency, and integrity through established quality control procedures
  • Contribute to continuous improvement of GIS workflows, processes, and data quality standards
  • Adhere to quality procedures defined in the company's Quality Management System, consistent with ISO 9001:2015 standards and company goals
  • Perform related duties to support production and delivery needs, as assigned