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Intern Data Analytics Teaching Jobs in Mokena, IL

As a Data Analytics Developer in Crowe's Consulting Practice , your role will focus on designing and implementing data visualization and reporting solutions that empower stakeholders to make informed ...

As a Data Analytics Developer in Crowe's Consulting Practice , your role will focus on designing and implementing data visualization and reporting solutions that empower stakeholders to make informed ...

... an Analytics & Reporting Intern, you will: * Support analytics and reporting across social media ... Help turn data into clear takeaways, charts and visualizations for client-ready reports and ...

... an Analytics & Reporting Intern, you will: * Support analytics and reporting across social media ... Help turn data into clear takeaways, charts and visualizations for client-ready reports and ...

... an Analytics & Reporting Intern, you will: * Support analytics and reporting across social media ... Help turn data into clear takeaways, charts and visualizations for client-ready reports and ...

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Intern Data Analytics Teaching information

See Mokena, IL salary details

$8

$16

$23

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

As of Aug 25, 2026, the average hourly pay for intern data analytics teaching in Mokena, IL is $16.76, according to ZipRecruiter salary data. Most workers in this role earn between $14.18 and $18.94 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an intern data analytics teaching?

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 types of projects or tasks can an intern 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 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.

Intern Data Engineer 2027 - AI & Data Analytics-Chicago, Illinois

Lemont, IL


IBM
IT Services • 10K+ employees

8.0

Company rating: 8.0 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

125th of 246 rated software companies

People enjoy working here

Good employer

Recommended by students


Full-time, Internship

Posted 3 days ago

New


Job description

Introduction
Launch your career like an IBMer
Every IBMer has a story. For many, it started with an internship.
As an IBM intern, you won't just gain experience - you'll start thinking, working, and growing like an IBMer. From day one, you'll contribute to real client projects across diverse industries, including analytics, cloud data platforms, AI adoption, generative AI, and agentic AI-enabled data transformation, working alongside experienced IBMers who are invested in your success. You'll be challenged, supported, and inspired, often all in the same day. You'll develop technical expertise and consulting skills in a culture built on continuous learning, mentorship, and coaching. High-performing interns have a clear pathway into IBM's Associate Program, launching careers at one of the world's most innovative technology and consulting companies.
To give yourself the best opportunity for success, we advise applying only to roles that align with your skills and experience, rather than applying broadly across all entry-level positions. You'll receive a status update email for each application, so be sure to check your IBM Careers account regularly - it's the best way to get a centralized view of which roles you have active applications against.
Your role and responsibilities
During your internship, you can build data engineering skills by contributing to client projects that use modern data platforms, cloud services, analytics, machine learning, GenAI, and agentic AI solution patterns. This role provides an opportunity to build a compelling portfolio, acquire new skills, gain insight into diverse industries, and contribute to client-ready data pipelines, data products, APIs, retrieval assets, and governed AI-ready data with guidance from IBM teams.
At IBM, we prioritize continuous learning, skill development, and personal growth within a culture of coaching and mentorship. As an intern, you'll strengthen technical, analytical, and consulting skills while learning data quality, observability, governance, and responsible AI practices, and you could advance to our full-time Associates program based on results and performance.
Work experiences you could be exposed to:
  • Mentored Data Engineering Support: Receive mentorship from data engineers, architects, AI engineers, consultants, and technical mentors while applying analytical rigor, data modeling, data quality, and responsible AI practices to client challenges.
  • Data Pipeline and Platform Development: Develop skills in writing efficient, reusable code to ingest, transform, validate, model, and serve structured, semi-structured, and unstructured data for analytics, RAG, and agentic AI solution components.
  • Effective Communication: Assisting explaining data flows, data quality, lineage, pipeline health, assumptions, limitations, and recommendations to both technical and non-technical audiences.
  • Tech-Driven Data Builder: Use tools such as Python, SQL, cloud platforms, ETL/ELT tools, APIs, data platforms, and AI-assisted coding tools to turn raw data sources into reliable analytical and AI-ready assets.

Required education
High School Diploma/GED
Preferred education
Bachelor's Degree
Required technical and professional expertise
  • Currently pursuing a quantitative or technical degree in Computer Science, Data Science, MIS, Business Analytics, Systems Engineering, Industrial Engineering, Mathematics, Engineering, AI/ML, or a related field.
  • Strong interpersonal skills that enhance collaboration and relationship building, while also managing dynamic workloads in an agile environment.
  • Have initiative and passion to actively seek new knowledge and improve skills while embracing a growth mindset to assimilate diverse viewpoints.
  • Demonstrate leadership experience and ability to communicate effectively through active listening; while also be willing to adapt and have a readiness to take ownership of tasks and challenges.
  • Familiarity with programming or query languages such as Python, SQL, Java, Scala, JavaScript, or similar, and interest in data engineering concepts such as pipelines, databases, APIs, ETL/ELT, data modeling, or data quality.
  • Willingness to travel as needed.

Preferred technical and professional experience
  • Exposure to ETL/ELT projects, data warehouse or lake house design, data engineering capstones, data quality checks, lineage, cataloging, or data governance is a plus.
  • Exposure to data engineering technologies such as Spark, Kafka, Airflow, dbt, Databricks, Snowflake, Delta Lake, Linux, APIs, or similar tools is a plus.
  • Exposure to LLMs, embeddings, vector databases, retrieval systems, RAG, prompt design, MCP-based tooling, or agentic AI frameworks such asLangChain,LangGraph, or similar, and AI-assisted Coding tools such as GitHub Copilot, Codex, Claude Code, Cursor, or similar tools for coding, testing, debugging, documentation, and code review is a plus.

ABOUT BUSINESS UNIT
IBM Consulting is IBM's consulting and global professional services business, with market leading capabilities in business and technology transformation. With deep expertise in many industries, we offer strategy, experience, technology, and operations services to many of the most innovative and valuable companies in the world. Our people are focused on accelerating our clients' businesses through the power of collaboration. We believe in the power of technology responsibly used to help people, partners and the planet.
YOUR LIFE @ IBM
In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.
Being an IBMer means you'll be able to learn and develop yourself and your career, you'll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.
Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.
Are you ready to be an IBMer?
ABOUT IBM
IBM's greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.
Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we're also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business.
At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it's time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.
IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
OTHER RELEVANT JOB DETAILS
Supplemental 1 employees may be eligible for up to 8 paid holidays, minimum of 56 hours paid sick time and the IBM Employee Stock Purchase Plan. IBM offers paid family medical leave and disability benefits to eligible employees where required by applicable law.
This position was posted on the date cited in the key job details section and is anticipated to remain posted for 15 days from this date or less if not needed to fill the role.
We consider qualified applicants with criminal histories, consistent with applicable law.
IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.
The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.

IBM logo

About IBM

Sourced by ZipRecruiter

At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Armonk, NY, US

Year founded

1911

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What IBM employees say

Pay

Benefits

Hours and flexibility

Workplace

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