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Intern Data Analytics Teaching Jobs (NOW HIRING)

... Intern to support our teams while gaining hands‑on experience in a collaborative ... Study of interest in data, data analytics, information management, data governance, and library ...

Job Type Internship Description POSITION SUMMARY As a Data Analytics Intern, you will report to the Data and Research Writer and work closely with the Technology and Data Solutions Team. Your primary ...

Support development of standardized data structures for reporting and analytics Dashboard Development & Visualization * Design, build, and maintain dashboards to track key performance indicators ...

Support development of standardized data structures for reporting and analytics Dashboard Development & Visualization * Design, build, and maintain dashboards to track key performance indicators ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Trinity Industry is looking for Data Analytics Interns for our office in Dallas, TX . This position will focus on building, deploying, and scaling agentic AI applications and automated workflows ...

Graduate students obtaining a Master's degree in Data Science, Statistics, Analytics, Mathematics, or Computer Science or a related STEM field * Expected graduation date of May 2027 * Experience or ...

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Intern Data Analytics Teaching information

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How much do intern data analytics teaching jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for intern data analytics teaching in the United States is $17.04, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What types of projects or tasks can an Intern in Data Analytics Teaching expect to work on during their internship?

As an Intern in Data Analytics Teaching, you can expect to assist with preparing instructional materials, developing data sets for classroom exercises, and supporting students during lab sessions. You may also help grade assignments, analyze student performance data, and contribute to curriculum development by researching the latest analytics tools or trends. Collaboration with mentors, faculty, and other interns is common, providing valuable teamwork experience and exposure to best practices in both teaching and data analytics.

What are the key skills and qualifications needed to thrive as an Intern in Data Analytics Teaching, and why are they important?

To thrive as an Intern in Data Analytics Teaching, you need a solid understanding of statistics, data analysis, and foundational knowledge in tools like Excel, Python, or R, ideally supported by coursework or related academic experience. Familiarity with data visualization software such as Tableau or Power BI and basic knowledge of learning management systems (LMS) are commonly expected. Strong communication, organizational skills, and a collaborative attitude help in effectively conveying complex concepts and supporting both instructors and students. These skills and qualities are crucial for facilitating learning, ensuring classroom engagement, and effectively supporting the educational process.

What is the difference between Intern Data Analytics Teaching vs Intern Data Analyst?

AspectIntern Data Analytics TeachingIntern Data Analyst
Required CredentialsBasic knowledge of data analytics, teaching skillsBasic data analysis skills, possibly coursework in analytics
Work EnvironmentEducational settings, classrooms, online tutorialsBusiness or research environments, data teams
Employer & Industry UsageEducational institutions, training programsCompanies, research organizations, startups
Search & Comparison IntentUnderstanding teaching roles in data analyticsUnderstanding entry-level data analysis roles

Intern Data Analytics Teaching focuses on instructing students or trainees in data analytics concepts, often within educational or training settings. In contrast, Intern Data Analyst involves hands-on data analysis tasks within organizations. Both roles require foundational analytics knowledge, but their environments and objectives differ significantly.

What does an Intern Data Analytics Teaching do?

An Intern in Data Analytics Teaching assists instructors in delivering lessons related to data analysis, statistics, and data visualization. Their responsibilities often include preparing teaching materials, helping students with assignments, and supporting classroom activities. They may also assist in grading, conducting tutorials, and providing feedback to students. This role offers a valuable opportunity to gain experience in both data analytics and educational settings.
What cities are hiring for Intern Data Analytics Teaching jobs? Cities with the most Intern Data Analytics Teaching job openings:
What are the most commonly searched types of Data Analytics Teaching jobs? The most popular types of Data Analytics Teaching jobs are:
What states have the most Intern Data Analytics Teaching jobs? States with the most job openings for Intern Data Analytics Teaching jobs include:
Autonomous Driving Intern - Data, Tools & Simulation

Autonomous Driving Intern - Data, Tools & Simulation

Isuzu Motors America LLC

Plymouth, MI

$20 - $34/hr

Other

Posted 15 days ago


Job description

Isuzu Technical Center of America is seeking an Autonomous Driving Intern - Data, Tools & Simulation to join its operations in Plymouth, MI, for Summer/Fall 2026. The selected candidate will be placed with a preferred agency for employment.

JOB SUMMARY

Supports verification and validation of Level 4 autonomous driving technologies using state-of-the-art approaches and methodologies. Works closely with Isuzu US and Japan teams, leading autonomous driving partner companies, and reputed research institutes on the validation and deployment of autonomous systems. Works at the intersection of vehicle engineering and cutting-edge autonomous technology within a collaborative and passionate environment.  Performs tasks of increasing complexity throughout the internship.

% of time spenton each activity

             PRINCIPAL DUTIES & RESPONSIBILITIES

30%

1.

Collaborates with engineers to develop and validate related vehicular and sensory models and algorithms related to autonomous vehicle safety.

20%

2.

Assists with analysis of on-road driving data and identification of safety trends or issues.

20%

3.

Supports simulation of real-world driving scenarios to test and validate AV systems.

20%

4.

Participates in cross-functional discussions and contributes ideas toward improving safety and reliability of AV systems.

10%

5.

Prepares and communicates findings and technical updates to teams across the U.S. and Japan.

6.

Performs miscellaneous job-related duties as assigned.

 

ORGANIZATIONAL RELATIONSHIPS

  • Reports to: Manager, Autonomous Driving & MBD

EDUCATION, EXPERIENCE & TRAINING

  • Currently enrolled in a Bachelor’s, Master’s, or Ph.D. program in Engineering, Computer Science, Data Science, Robotics, or a related field
  • Academic focus or coursework in robotics systems, autonomous systems, machine learning (ML/DL/RL/VLM/LLM…), vehicle dynamics, or simulation is preferred
  • Prior internship or project experience in data analysis, programming, or automotive systems is a plus, but not required
  • Strong academic standing (e.g., minimum 3.0 GPA or equivalent recommended)

KNOWLEDGE

  • Foundational understanding of data analysis, statistics, or simulation
  • Basic knowledge of autonomous driving or vehicle safety systems is a plus

SKILLS & ABILITIES

  • Strong analytical and problem-solving skills
  • Proficiency in Python, C++, or Java
  • Familiarity with simulation or machine learning tools is a plus
  • Effective communication and interpersonal skills
  • Ability to work independently and collaboratively within a team

PHYSICAL STANDARDS

The employee must be able to access, enter, and retrieve data using a computer.  This is primarily a sedentary position in a controlled office environment which requires only occasional reaching, stooping, and lifting of office files, reports or records, typically weighing 5 lbs. or less.  Requires occasional light lifting (5-25 lbs) and on rare occasions, heavy lifting (60 lbs).   Must be able on rare occasions to bend, crawl, climb, crouch, kneel and reach above shoulder level in the performance of job duties. Must be able to work in hot and cold weather extremes.