1

Data Analytics Virtual Internship Jobs in Arizona

Pharmacist - Data Analytics

Chandler, AZ · On-site

$56.50 - $68/hr

This is a virtual eligible role. You must be within a reasonable distance of a PulsePoint. HOURS ... You must have data analytics experience for this position. * PharmD preferred. * Experience working ...

Interns are entrusted with meaningful responsibilities and exposed to cutting-edge technologies ... Currently pursuing a degree in Computer Science, Data Analytics, Information Systems, Engineering ...

New

AI Development Data Analytics Intern

Scottsdale, AZ · On-site

$15 - $20.25/hr

This internship sits at the intersection of data analytics and artificial intelligence, offering hands-on experience in a fast-paced real estate environment. The intern will work closely with our ...

Potential to share and teach skills around advanced data analytics and data evaluation * Handling a ... CVS Virtual Care * U-Haul Kids Program * 24-Hour Nurse Line * Wellness Program (Healthier You ...

Data Analyst

Phoenix, AZ · Remote

$5.7K - $6.5K/mo

Virtual Office Minimum Starting Monthly Range: $5,757 Hiring Range (Monthly Pay): $5,757 - $6,583 ... Extremely High Summary The Data Analyst will work as part of the Data Services team under the ...

New

Data Analyst

Phoenix, AZ · On-site

$5.7K - $6.5K/mo

Virtual Office Minimum Starting Monthly Range: $5,757 Hiring Range (Monthly Pay): $5,757 - $6,583 ... Extremely High Summary The Data Analyst will work as part of the Data Services team under the ...

New

Big Data Architect

Phoenix, AZ

$63.25 - $81.50/hr

Analytics processing, OLAP, NoSQL , federated SQL. * Service platforms: cloud computing, PaaS, SaaS, virtual data storage solutions and related integration * BI & data analytics: reporting, OLAP ...

next page

Showing results 1-20

Data Analytics Virtual Internship information

See Arizona salary details

$11

$20

$39

How much do data analytics virtual internship jobs pay per hour?

As of Jul 19, 2026, the average hourly pay for data analytics virtual internship in Arizona is $20.97, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $22.84 per hour, depending on experience, location, and employer.

What is a Data Analytics Virtual Internship?

A Data Analytics Virtual Internship is a remote learning experience where participants gain practical skills in analyzing and interpreting data using digital tools, often from home or any location with internet access. Interns work on real-world projects, such as data cleaning, visualization, and reporting, to develop their analytical and technical abilities. These internships typically involve using software like Excel, SQL, Python, or Tableau, and may include mentorship or feedback from industry professionals. Virtual internships offer flexibility, making them accessible to students and career changers worldwide. They are a great way to build experience and enhance your resume in the field of data analytics.

What types of real-world projects can I expect to work on during a Data Analytics Virtual Internship?

During a Data Analytics Virtual Internship, you can expect to work on projects such as analyzing business datasets, creating dashboards and visualizations, performing data cleaning, and generating actionable insights to support decision-making. These projects often simulate challenges faced by data analysts in various industries, helping you build practical experience with tools like Excel, SQL, or Tableau. You may also collaborate remotely with other interns or mentors, receive feedback on your work, and present findings, all of which mirror typical professional workflows.

What is the difference between Data Analytics Virtual Internship vs Data Analyst?

AspectData Analytics Virtual InternshipData Analyst
CredentialsOften students or entry-level with coursework in data analysisTypically requires a degree in data science, statistics, or related field
Work EnvironmentRemote, project-based, temporaryFull-time or part-time, in-office or remote
Employer & Industry UsageInternships offered by companies for training; industry-wideFull-time roles in various industries like finance, healthcare, tech

The main difference is that a Data Analytics Virtual Internship is a temporary, training-focused opportunity for beginners or students, often remote, while a Data Analyst is a full-time professional role requiring more experience and credentials. Internships serve as a stepping stone into the industry, whereas data analyst positions involve ongoing responsibilities and career development.

What are the key skills and qualifications needed to thrive as a Data Analytics Virtual Intern, and why are they important?

To thrive as a Data Analytics Virtual Intern, you need a solid understanding of statistical analysis, data manipulation, and foundational programming skills, often gained through coursework in data science or related fields. Familiarity with tools like Excel, SQL, Python, and data visualization platforms such as Tableau is typically required. Strong attention to detail, effective communication, and self-motivation help interns stand out when working remotely and collaborating on projects. These skills ensure interns can analyze data accurately, deliver actionable insights, and contribute meaningfully to virtual teams.
What cities in Arizona are hiring for Data Analytics Virtual Internship jobs? Cities in Arizona with the most Data Analytics Virtual Internship job openings:
Infographic showing various Data Analytics Virtual Internship job openings in Arizona as of July 2026, with employment types broken down into 21% Internship, 58% Full Time, 7% Part Time, and 14% Temporary. Highlights an 72% In-person, 21% Hybrid, and 7% Remote job distribution, with an average salary of $43,621 per year, or $21 per hour.
Fall 2026 - AI & Data Analytics Intern

Fall 2026 - AI & Data Analytics Intern

onsemi

Scottsdale, AZ • On-site

Part-time

Posted 4 days ago

New


Onsemi rating

8.3

Company rating: 8.3 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description


An internship at onsemi offers a dynamic opportunity to gain hands-on experience through real-world projects that drive innovation in the semiconductor industry. Interns are entrusted with meaningful responsibilities and exposed to cutting-edge technologies, fostering both technical skill development and professional growth.
onsemi views internships as a strategic pipeline for entry-level career positions, providing a collaborative and inclusive environment where interns work alongside diverse teams and contribute to high-impact initiatives. The company's commitment to sustainability, including its goal of achieving net-zero emissions by 2040, enables interns to engage in projects that align with global environmental priorities.
Key benefits include:
  • Competitive compensation and medical benefits
  • Flexible work hours aligned with academic schedules
  • Access to Employee Resource Groups (ERGs) which foster a sense of belonging and provide opportunities for mentorship and community engagement
  • Networking events, professional development workshops, and project showcases that build career readiness and visibility across the organization

Internship roles span multiple disciplines including engineering, business operations, data analytics, and finance, and are designed to align with onsemi's strategic goals of innovation and workforce development. Structured programs such as rotational field sales and finance analyst tracks offer additional career pathways for interns transitioning into full-time roles.
Responsibilities
The AI & Data Analytics Intern will support the Power Solutions Group Marketing organization on a high-priority initiative to improve product ownership visibility, data quality, and operational efficiency across product lines while helping identify and address root causes of organizational and enterprise data structure challenges. The intern will help design and prototype an AI-enabled internal tool that allows employees to quickly identify the correct Product Line Manager or Applications Manager based on product family, part number, or related ownership attributes. In addition to prototype development, the intern will evaluate the underlying process, data governance, and ownership model gaps contributing to the issue and recommend operationalized solutions that can be scaled beyond the initial proof of concept. This role offers hands-on exposure to enterprise data challenges, AI-enabled workflow improvement, and cross-functional problem solving in a semiconductor business environment.
The primary project will focus on building a working prototype or proof of concept for an ownership lookup and recommendation tool. The tool should help users resolve ownership questions more efficiently by consolidating fragmented data sources, applying structured matching logic, identifying gaps or conflicts, and presenting results with clear confidence indicators and exception handling. The project will also include root-cause analysis of the organizational, process, and enterprise data structure issues that create ownership ambiguity, along with practical recommendations for operationalizing a sustainable long-term solution.
Key Responsibilities:
  • Design and prototype an AI-enabled ownership resolution tool that identifies the appropriate Product Line Manager or Applications Manager by product family, part
    number, or related ownership attributes.
  • Collect, consolidate, clean, and normalize ownership data from internal sources into a structured, maintainable data model.
  • Analyze root causes of ownership ambiguity, including gaps in data governance,source-of-truth alignment, process ownership, organizational structure, and
    enterprise system connectivity.
  • Develop search, matching, recommendation logic, confidence indicators, and exception flags to improve ownership lookup accuracy and handle ambiguous or
    conflicting data.
  • Build analytics or dashboard views to track ownership coverage, unresolved mappings, data quality issues, root-cause themes, and prototype performance.
  • Partner with cross-functional stakeholders to validate requirements and outputs, then document prototype logic, limitations, operationalized recommendations, governance improvements, and handoff requirements for future scaling.

Qualifications
Qualifications - External
Requirements:
  • Currently pursuing a degree in Computer Science, Data Analytics, Information Systems, Engineering or a related field.
  • Proficiency in Python, SQL, or similar programming languages for data analysis, automation, or prototype development.
  • Experience working with semi-structured, or messy datasets, including cleaning, joining, validating, and transforming data.
  • Demonstrated coursework, project experience, or practical interest in AI, machine learning, natural language processing, automation, or data analytics.
  • Strong analytical and problem-solving skills, with comfort working through ambiguous business problems and incomplete information.
  • Ability to communicate technical concepts clearly to business stakeholders and work effectively with cross-functional teams.
  • Proficiency with Microsoft Excel, PowerPoint, and other productivity tools.

Preferred Skills:
  • Experience with Power BI, Tableau, or other business intelligence and data visualization tools.
  • Exposure to APIs, data pipelines, knowledge management systems, or enterprise data workflows.
  • Familiarity with prompt engineering, retrieval-augmented generation, semantic search, or practical generative AI use cases.
  • Interest in customer experience, operations, product management, or semiconductor industry workflows.
  • Ability to synthesize complex information into clear, actionable insights and executive-ready summaries.

To be considered for an internship, you must be currently enrolled in a degree seeking program.
Here at onsemi we take great pride in our internship program and the efforts we take to provide students with hands-on industry experience. We provide competitive pay medical benefits, various networking event opportunities, and flexible hours based on school schedule.
About Us
onsemi (Nasdaq: ON) is driving disruptive innovations to help build a better future. With a focus on automotive and industrial end-markets, the company is accelerating change in megatrends such as vehicle electrification and safety, sustainable energy grids, industrial automation, and 5G and cloud infrastructure. With a highly differentiated and innovative product portfolio, onsemi creates intelligent power and sensing technologies that solve the world's most complex challenges and leads the way in creating a safer, cleaner, and smarter world.
More details about our company benefits can be found here:
https://www.onsemi.com/careers/career-benefits
About the Team
We are committed to sourcing, attracting, and hiring high-performance innovators, while providing all candidates a positive recruitment experience that builds our brand as a great place to work.
onsemi is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, ancestry, national origin, age, marital status, pregnancy, sex, sexual orientation, physical or mental disability, medical condition, genetic information, military or veteran status, gender identity, gender expression, or any other protected category under applicable federal, state, or local laws.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Talent.acquisition@onsemi.com for assistance.

What Onsemi employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom