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Data Analytics Intern Jobs in Canton, MI (NOW HIRING)

2027 Global Planning Intern

Auburn Hills, MI · On-site

$14.75 - $19/hr

The intern will also support aspects within the research process from helping to design, execute, and analyze consumer research. The intern will transform the data and observations into insight ...

New

2027 Global Planning Intern

Auburn Hills, MI · On-site

$14.75 - $19/hr

The intern will also support aspects within the research process from helping to design, execute, and analyze consumer research. The intern will transform the data and observations into insight ...

New

System Engineering Intern

Rochester Hills, MI · On-site

$15.50 - $20/hr

This position offers hands-on experience with vehicleelectronics, test equipment, data analysis ... The intern will gain experience in: * Automotive systems engineering processes * Vehicle and bench ...

System Engineering Intern

Rochester Hills, MI · On-site

$15.50 - $20/hr

This position offers hands-on experience with vehicleelectronics, test equipment, data analysis ... The intern will gain experience in: * Automotive systems engineering processes * Vehicle and bench ...

Showing results 41-60

Data Analytics Intern information

See Canton, MI salary details

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How much do data analytics intern jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data analytics intern in Canton, MI is $20.86, according to ZipRecruiter salary data. Most workers in this role earn between $16.06 and $22.74 per hour, depending on experience, location, and employer.

What does a data analytics intern do?

A Data Analytics Intern assists in collecting, processing, and analyzing data to help organizations make informed decisions. They typically work with tools like Excel, SQL, and data visualization software to identify trends, create reports, and support business objectives. Interns often collaborate with data analysts and other team members to gain practical experience and develop their technical skills. Their work may involve cleaning datasets, running basic analyses, and presenting findings to stakeholders.

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

To thrive as a Data Analytics Intern, you need a solid understanding of statistics, data analysis, and proficiency in programming languages like Python or R, often supported by coursework in mathematics, computer science, or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and spreadsheet software is typically expected. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and present findings clearly. These skills are crucial for drawing meaningful insights from data and supporting decision-making processes within an organization.

What are some common challenges data analytics interns face during their internship, and how can they overcome them?

Data Analytics Interns often encounter challenges such as working with large and complex datasets, learning new analytical tools and programming languages on the job, and translating data findings into actionable insights for non-technical stakeholders. To overcome these challenges, interns should proactively seek guidance from mentors, take advantage of available training resources, and communicate regularly with team members to clarify project goals. Developing strong problem-solving skills and being open to feedback also helps interns grow and succeed in the role.

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

AspectData Analytics InternData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some certifications
Work EnvironmentInternship programs, entry-level tasks, supervisedFull-time, independent project work, more responsibility
Employer & Industry UsageInternships in various industries, training rolesFull-time roles across industries like finance, tech, healthcare
Common Search & Comparison IntentUnderstanding entry-level opportunities, learning rolesCareer progression, skill development, salary expectations

The main difference between a Data Analytics Intern and a Data Analyst lies in experience, responsibilities, and employment status. Interns are typically students or recent graduates gaining initial exposure, while Data Analysts are full-time professionals handling complex data projects. Internships serve as training grounds, whereas Data Analysts are expected to independently analyze data and contribute to decision-making processes.

Can I do a data analytics intern internship?

A data analytics intern internship is typically available to students or recent graduates with skills in data analysis, statistics, and tools like Excel, SQL, or Python. Internships usually have age or educational requirements and may require a resume or interview process. They provide practical experience in data collection, cleaning, and reporting within a professional environment.

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

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

What are popular job titles related to Data Analytics Intern jobs in Canton, MI?

For Data Analytics Intern jobs in Canton, MI, the most frequently searched job titles are:

What job categories do people searching Data Analytics Intern jobs in Canton, MI look for?

The top searched job categories for Data Analytics Intern jobs in Canton, MI are:

What cities near Canton, MI are hiring for Data Analytics Intern jobs?

Cities near Canton, MI with the most Data Analytics Intern job openings:

Infographic showing various Data Analytics Intern job openings in Canton, MI as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $43,380 per year, or $20.9 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Sterling Heights, MI • On-site

$35/hr

Other

Posted yesterday

New


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

133rd of 496 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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