1

Data Analytics Internship Jobs in Novi, MI (NOW HIRING)

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Develop, analyze and model operational, economic, management, accounting and other organizational ...

Digital Analyst Internships

Ann Arbor, MI

$96K - $114K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Digital Analyst Internships

Ann Arbor, MI · On-site

$96K - $114K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Digital Analyst Internships

Rochester Hills, MI · On-site

$90K - $107K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Digital Analyst Internships

Sterling Heights, MI · On-site

$92K - $109K/yr

By submitting your interest, you'll be among the first to know when internship opportunities open ... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable ...

Showing results 21-40

Data Analytics Internship information

See Novi, MI salary details

$11

$21

$39

How much do data analytics internship jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for data analytics internship in Novi, MI is $21.11, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $22.98 per hour, depending on experience, location, and employer.

What is a data analytics internship?

A Data Analytics Internship is a temporary position, often for students or recent graduates, that provides hands-on experience working with data to identify trends, create reports, and support decision-making within an organization. Interns typically assist with data collection, cleaning, analysis, and visualization, using tools like Excel, SQL, Python, or specialized analytics software. The internship offers practical exposure to real-world business problems and helps interns develop critical technical and analytical skills valuable for a future career in data analytics.

What are the key skills and qualifications needed to thrive as a data analytics intern?

To thrive as a Data Analytics Intern, you need a solid grasp of statistics, data analysis, and familiarity with programming languages like Python or R, often supported by coursework in data science or related fields. Experience with data visualization tools (such as Tableau or Power BI), SQL databases, and proficiency in Excel are commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills help interns stand out in collaborative, data-driven environments. These skills are crucial for transforming data into actionable insights and supporting decision-making processes within organizations.

What types of projects do data analytics interns typically work on during their internship?

Data Analytics Interns often work on projects involving data cleaning, exploratory data analysis, and visualization to support business decisions. They may assist in creating dashboards, conducting statistical analyses, or helping to automate data collection processes. Interns frequently collaborate with data analysts, engineers, or business teams to understand project goals and contribute meaningful insights. These projects help interns gain practical experience with industry-standard tools like Excel, SQL, Python, or Tableau, while learning to communicate findings effectively within a team setting.

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

AspectData Analytics InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentEntry-level, learning-focused, often part-time or temporaryFull-time, professional setting, more responsibility
Employer & Industry UsageInternships offered by companies across industries for trainingFull-time roles in various industries, more specialized
Search & Comparison IntentLooking for entry-level opportunities or internshipsSeeking full-time data analysis roles

The main difference between a Data Analytics Internship and a Data Analyst role is experience level and responsibility. Internships are designed for students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as a stepping stone toward a full Data Analyst career.

What does a data analytics internship do?

A data analytics internship involves assisting with data collection, cleaning, and analysis to support business decision-making. Interns often use tools like Excel, SQL, or Python and gain experience in data visualization and reporting under supervision. The role provides practical skills in data analysis and understanding of industry-standard software.

What are the most commonly searched types of Data Analytics jobs in Novi, MI?

The most popular types of Data Analytics jobs in Novi, MI are:

What are popular job titles related to Data Analytics Internship jobs in Novi, MI?

For Data Analytics Internship jobs in Novi, MI, the most frequently searched job titles are:

What job categories do people searching Data Analytics Internship jobs in Novi, MI look for?

The top searched job categories for Data Analytics Internship jobs in Novi, MI are:

What cities near Novi, MI are hiring for Data Analytics Internship jobs?

Cities near Novi, MI with the most Data Analytics Internship job openings:

Infographic showing various Data Analytics Internship job openings in Novi, MI as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $43,916 per year, or $21.1 per hour.

Program Validation and Safety Engineer - Data Analytics & Automation (GPSSC)

General Motors

Milford, MI

Full-time

Posted 9 days ago


Key responsibilities

  • Develop, maintain, and optimize validation KPI dashboards and Jira workflows to track program validation metrics and manage validation tasks.

  • Create and manage data analysis tools, automation scripts, and analytics platforms to identify trends, risks, and process bottlenecks for leadership review.

  • Lead the development of validation standard work, training materials, and process improvements to ensure high adoption and continuous process optimization.


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 308 frontline employees who took The Breakroom Quiz

7.3

Company rating compared to similar companies: 7.3 out of 10

Automakers average

Based on 6,329 frontline employees who took The Breakroom Quiz


Job description

Job Description

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We're turning today's impossible into tomorrow's standard -from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.

Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Role

As we advance toward our vision of ZERO emissions, ZERO crashes, and ZERO congestion, we are seeking a highly motivated and hardworking Program Validation & Safety Engineer (PVSE) to join our Global Product Validation Team.


Our mission is to deliver validated, regulatory compliant, and safe vehicles by proactively identifying and mitigating risks throughout the vehicle development process. In this role, you will be the digital and analytical backbone of the validation team. You will continuously transform our processes to maximize efficiency, build robust tracking mechanisms, and drive accountability using tools like Jira and Power BI. Your work will provide the PVSE organization with the data clarity needed to confidently assess DVUL and timely sign the Product Validation Completion Letter (PVCL).


What You'll Do

  • Data Analysis & Dashboard Creation: Develop, maintain, and optimize validation KPI dashboards (e.g., Power BI, Maxis) to track Program Validation metrics, and VDC readiness. Use Python and cloud-based analytics platforms (e.g., Databricks) to automate data pipelines, perform advanced analytics, and enable AI-assisted insights that highlight trends, risks, and process bottlenecks for leadership review. Build and maintain Google Sheets-based tools (e.g., queries, pivot tables, formulas, and basic scripting/automation) to support rapid analysis and easy sharing of validation data. Maintain and update SharePoint sites, GDocs, and other data repositories with ILM requirements.

  • Jira & Workflow Management: Serve as the primary process administrator for the validation team. Create and manage Jira workflows, Kanban boards, story cards, and 30-60-90-day lookahead templates that allow Validation Owners (DREs/SIVEs) to easily status their tasks.

  • Process Creation, Training, and Optimization: Lead the development of validation standard work, training materials, and process "cheat sheets". Act as an educator to the broader team to ensure high adoption of new tracking systems, AI-assisted workflows, and data-driven decision tools. Champion continuous improvement efforts by applying Lean Six Sigma problem-solving and change management methodologies.

Key Deliverables

  • Optimized Validation KPI Dashboards (Power BI) and Jira Kanban Boards.

  • AI-enabled analytics and automation that reduce manual effort and improve risk visibility.

  • Continuous improvement and documentation of validation standard work and processes.

  • Google Sheets-based tools and templates that enable scalable, easy-to-maintain validation tracking.

  • Continuous improvement and documentation of validation standard work.

Your Skills & Abilities (Required Qualifications)

  • Bachelor's degree in Engineering, Computer Science, Information Technology, Data Analytics, or a related field.

  • 3+ years of experience in a relevant technical, data analysis, or validation role (excluding co-op/internship experience).

  • High proficiency in Jira (workflow creation, board management) and Power BI (dashboard development, data modeling).

  • Hands-on experience with Python for data analysis, automation, or scripting.

  • Experience working with spreadsheet and collaboration tools such as Excel and Google Sheets to integrate, cleanse, and transform data from multiple sources.

  • Strong business acumen and the ability to summarize complex information from multiple sources into actionable metrics and clear dashboards.

  • Excellent organizational and time management skills, with the ability to propose process solutions using existing procedures.

What Will Give You A Competitive Edge (Preferred Qualifications)

  • Experience with validation processes, regulatory compliance, or development vehicle usage levels (DVUL).

  • Familiarity with GM engineering systems and processes (PRTS, DVUL, ECR, SQMS, Maxis).

  • Experience identifying technical/timing risks and conducting critical path analysis using data-driven methods.

  • Experience with Databricks, cloud analytics, or similar platforms for large-scale data processing and model development.

  • Formal training or certification in Lean Six Sigma (e.g., Green Belt or higher) and demonstrated application of continuous improvement methodologies.

  • Proven understanding of engineering organizations and the ability to collaborate with technical resources to resolve process differences.

  • Recognized as an innovative, detail-oriented, and self-motivated team player who thrives on bringing structure to ambiguous data.

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 is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. This position requires the ability to legally operate a motor vehicle on a regular basis and successfully complete a Motor Vehicle Report review.

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, email us 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


What General Motors employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


General Motors logo

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