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Internship Opt Cpt Data Analytics Jobs (NOW HIRING)

KPMG US

Data Scientist- Associate

Montvale, NJ · On-site

$61K - $62K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data ... J-1, OPT, CPT or any other employment-based visa) Preferred : • Master's degree from an ...

KPMG US

Data Scientist- Associate

Dallas, TX · On-site

$58K - $58K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data ... J-1, OPT, CPT or any other employment-based visa) Preferred : • Master's degree from an ...

KPMG US

Data Scientist- Associate

Orlando, FL · On-site

$55K - $55K/yr

Required : • Minimum one year of experience or strong internship/academic projects in data ... J-1, OPT, CPT or any other employment-based visa) Preferred : • Master's degree from an ...

Monitise

Business Data Analyst

Berkeley Heights, NJ · On-site

$110K - $186K/yr

Bachelor's degree in business, finance, data analytics, computer science, or a related field, or ... Individuals with temporary visas including, but not limited to, F-1 (OPT, CPT, STEM), H-1B, H-2, or ...

KPMG

Manager, Oracle Data & Analytics

Ashburn, VA · On-site

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice ... J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ...

KPMG

Manager, Oracle Data & Analytics

Atlanta, GA

KPMG is currently seeking a Manager, Oracle Data & Analytics for our Consulting practice ... J-1, OPT, CPT or any other employment-based visa) KPMG LLP and its affiliates and subsidiaries ...

Apex Informatics

Data Analyst

Chicago, IL · On-site

Cannot work with OPT or CPT Description NTRS Asset and Market Data team is looking for an experienced and versatile Data Analytics Engineer to help us build a Security Master System. In this role ...

SYSTEGRATION INC

Be Seen First

dbt / Data Engineer

Des Plaines, IL · On-site

$111K - $134K/yr

... no OPT/CPT Industry: Healthcare Company We are seeking an experienced dbt Engineer / Data Engineer to support the transitioning, development and modernization of a healthcare data and analytics ...

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How much do internship opt cpt data analytics jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for internship opt cpt data analytics 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 OPT CPT Data Analytics?

An Internship OPT CPT Data Analytics position is a temporary role typically offered to international students in the U.S. who are studying data analytics and are eligible to work under Optional Practical Training (OPT) or Curricular Practical Training (CPT) programs. These internships provide practical, hands-on experience in analyzing data, using statistical tools, and solving real-world business problems. The role helps students apply classroom knowledge, gain industry exposure, and improve their chances of securing full-time employment after graduation. OPT and CPT allow students to work legally while completing their studies or shortly after graduating.

What are the key skills and qualifications needed to thrive as an Internship OPT CPT Data Analytics?

To thrive in an Internship OPT CPT Data Analytics role, you generally need a background in statistics, mathematics, or computer science, along with strong analytical and problem-solving abilities. Familiarity with data analysis tools such as Python, R, SQL, and visualization platforms like Tableau or Power BI is typically expected. Strong communication, attention to detail, and teamwork skills help interns present findings effectively and collaborate with team members. These skills ensure interns can extract actionable insights from data and contribute meaningfully to business decisions during their internship.

What types of projects can I expect to work on during an Internship OPT CPT Data Analytics?

As an intern in Data Analytics under OPT/CPT, you'll typically be involved in projects such as data cleaning, visualization, and exploratory analysis to support business decisions. You may work with tools like Excel, Python, or SQL to analyze large datasets, generate reports, and present insights to your team. Collaboration is common, so you’ll often work alongside data scientists, business analysts, and other interns, gaining exposure to real-world data challenges. This hands-on experience is designed to help you build practical skills and understand the workflow of a data-driven organization.

What is the difference between Internship Opt Cpt Data Analytics vs Data Analyst?

AspectInternship Opt Cpt Data AnalyticsData Analyst
Required CredentialsTypically pursuing or completed relevant coursework, possibly some certificationsBachelor's degree in Data Science, Statistics, or related field; certifications like SQL or Tableau are common
Work EnvironmentInternship setting, often part-time or temporary, in corporate or consulting firmsFull-time professional role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by employers to evaluate potential future employees; common in tech, finance, marketingEstablished role for analyzing data, generating reports, and supporting decision-making across industries

In summary, Internship Opt Cpt Data Analytics is an entry-level internship designed for students or recent graduates gaining practical experience, while a Data Analyst is a full-time professional role requiring more experience and skills. The internship offers a pathway to a Data Analyst position, which involves more responsibilities and a broader scope of data analysis tasks.

What cities are hiring for Internship Opt Cpt Data Analytics jobs?

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What job categories do people searching Internship Opt Cpt Data Analytics jobs look for?

The top searched job categories for Internship Opt Cpt Data Analytics jobs are:

Internship Opt Cpt Data Analytics jobs near you
Infographic showing various Internship Opt Cpt Data Analytics job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Safety Field Investigations - Data Analyst

General Motors

Warren, MI • On-site

Full-time

Posted 17 days ago

General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,287 frontline employees who took The Breakroom Quiz

Job description

Job Description
The Role
The Safety Field Investigations (SFI) Data Analyst supports Global Field Action Execution by leading data analysis, reporting, and data pipeline activities that improve field action decision-making and operational execution. This role builds on the current SFI Analyst scope by combining VIN population analysis, cost modeling, internal reporting, and database support with modern data engineering and visualization capabilities.
The ideal candidate brings strong analytical and problem-solving ability, works effectively across global teams, and can translate complex operational and engineering data into actionable business insights.
What You'll Do (Responsibilities):
  • Lead field action VIN population analysis and definition to determine vehicle eligibility, support customer contact strategy, and help complete required documentation.
  • Design, maintain, and improve data pipelines and data workflows that support field action analytics, reporting, and operational decision-making.
  • Perform data preprocessing, cleansing, validation, and feature engineering to improve data quality and usability for analysis.
  • Develop cost estimates and analytical models to support corporate financial accruals and business planning.
  • Create and distribute internal field performance and field action communications for global and regional stakeholders.
  • Support the administration, enhancement, and data governance of the Global SFI database and related analytical tools.
  • Build dashboards, scorecards, and self-service reporting solutions using Tableau and Power BI to monitor field action performance and trends.
  • Use SQL, Databricks, Hadoop, Pandas, and NumPy to analyze large datasets, automate recurring analysis, and generate actionable insights.
  • Partner with engineering, operations, and global teams to solve complex problems, align on data definitions, and drive consensus on key decisions.
  • Apply knowledge of automotive engineering terms, systems, and components to interpret data and support field action execution.

Your Skills & Abilities (Required Qualifications):
  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, or a related field; equivalent relevant experience may be considered.
  • 5+ years of related experience or demonstrated proficiency in analytical and technical roles.
  • Strong oral and written communication skills.
  • Strong interpersonal skills and the ability to work effectively with cross-functional and global partners.
  • Demonstrated ability to work independently, solve highly complex problems, and lead teams to consensus when needed.
  • High level of analytical ability, especially when working with unusual or difficult problems.
  • Strong experience with SQL and data analysis in large, complex datasets.
  • Hands-on experience with data engineering and big data environments such as Databricks and Hadoop.
  • Experience building and maintaining data pipelines and performing data preprocessing and feature engineering.
  • Experience creating dashboards and visual analytics using Tableau and Power BI.
  • Proficiency with Python-based analytics tools such as Pandas and NumPy.
  • Strong estimating, planning, and organizational skills.

What Can Give You a Competitive Edge (Preferred Qualifications):
  • Experience with automotive components and systems.
  • Experience with GM systems such as QDAP and other performance integration-related applications.
  • Experience with GM Data Structure
  • Advanced proficiency in Excel, Access, or other analytical tools.
  • Good project management skills.
  • Experience developing enterprise data models, automated reporting, or scalable analytics solutions in operational environments.

#LI-KE2
GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.
Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Non-Discrimination and Equal Employment Opportunities (U.S.)
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
Accommodations
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, emailus or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Working at General Motors

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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908

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