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Internship Data Analytics Graduate Jobs in Michigan

HTC Global Services

Software Engineer

Auburn Hills, MI · On-site

Completion of an internship, graduate program, rotational program, academic project, or early-career work experience in IT, systems analysis, business analysis, data analytics, application support ...

Humanex Ventures

Graduate Intern

Kalamazoo, MI

Graduate interns at Humanex Ventures are exposed to all areas of the company with opportunities to ... Research: Collect & analyze data from surveys, literature reviews, focus groups, observational ...

Humanex Ventures

Graduate Intern

Kalamazoo, MI · On-site

Graduate interns at Humanex Ventures are exposed to all areas of the company with opportunities to ... Research: Collect & analyze data from surveys, literature reviews, focus groups, observational ...

Noblesoft Technologies

Data Engineer (Python)

Auburn Hills, MI · On-site

$108K - $130K/yr

Bachelor's or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience. Unique Skills • Graduate degree in a related field, such as Computer Science or ...

Goucher

$1.4K/wk

... graduate courses within the M.A. in Policy Analytics (MAPA) program.The course will be offered ... Data Ethics (3 credits) This course provides a framework to analyze the ethical and fair use of big ...

Goucher

$1.4K/wk

... graduate courses within the M.A. in Policy Analytics (MAPA) program.The course will be offered ... Data Ethics (3 credits) This course provides a framework to analyze the ethical and fair use of big ...

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Internship Data Analytics Graduate information

What is an Internship Data Analytics Graduate?

An Internship Data Analytics Graduate is a recent graduate or current student who participates in a temporary position focused on analyzing and interpreting data to help organizations make informed decisions. This role typically involves working with data collection, cleaning, and visualization tools, as well as statistical analysis and reporting. Interns in data analytics often gain hands-on experience with software like Excel, SQL, Python, or R, and develop skills that prepare them for full-time roles in data analysis or related fields.

What types of projects and responsibilities can I expect during a Data Analytics Graduate Internship?

As a Data Analytics Graduate Intern, you’ll typically work on projects involving data collection, cleaning, and analysis to support business decisions. You may assist in building dashboards, generating reports, and collaborating with senior analysts and cross-functional teams to identify trends and present actionable insights. Expect to use tools like Excel, SQL, and Python or R, and to participate in team meetings where your findings may directly impact ongoing projects. This hands-on experience not only develops your technical skills but also gives you exposure to real-world business challenges and collaborative problem-solving.

What are the key skills and qualifications needed to thrive as an Internship Data Analytics Graduate, and why are they important?

To thrive as an Internship Data Analytics Graduate, you need a solid understanding of statistics, data analysis, and problem-solving, typically supported by coursework in mathematics, computer science, or related fields. Familiarity with data analytics tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Effective communication, attention to detail, and a willingness to learn help interns stand out in collaborative and fast-paced environments. These skills and qualities enable interns to extract meaningful insights from data, contribute to team projects, and support informed decision-making.

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

AspectInternship Data Analytics GraduateData Analyst
Required CredentialsTypically pursuing or recently completed a degree in data analytics, statistics, or related fieldsBachelor's degree in data science, statistics, or related field; some roles prefer or require certifications
Work EnvironmentInternship setting, often part-time or temporary, focused on learning and support tasksFull-time professional role with independent project responsibilities
Employer & Industry UsageUsed by companies for entry-level training, often in tech, finance, or consulting sectorsEstablished role across industries like finance, healthcare, marketing, and technology

The main difference between an Internship Data Analytics Graduate and a Data Analyst is experience and responsibility level. Internships are designed for students or recent graduates gaining practical skills, while Data Analysts are full-time professionals handling complex data projects independently.

What are the most commonly searched types of Data Analytics Graduate jobs in Michigan? The most popular types of Data Analytics Graduate jobs in Michigan are:
What cities in Michigan are hiring for Internship Data Analytics Graduate jobs? Cities in Michigan with the most Internship Data Analytics Graduate job openings:
Internship Data Analytics Graduate jobs near you
System Analyst - L1

System Analyst - L1

HTC Global Services

Auburn Hills, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago

Job description

Job Description
IT Systems Analyst - Recent Graduate Program
Position Overview
The IT Systems Analyst will support business and technology teams by helping analyze system needs, document requirements, support application and data-related initiatives, troubleshoot issues, and assist with technology projects across the organization. This role is designed for a recent graduate or early-career professional who has completed an IT, analytics, business systems, or technology-focused graduate program and is ready to grow into a full-time systems analyst role.
The ideal candidate will bring a strong foundation in technology, business analysis, data, systems thinking, documentation, and cross-functional communication. This role will work closely with IT teams, business stakeholders, vendors, and project teams to help improve systems, support users, document processes, and contribute to technology modernization efforts.
Key Responsibilities
  • Support IT systems, applications, business processes, and technology initiatives across assigned business areas.
  • Assist with gathering, documenting, and validating business and technical requirements.
  • Partner with business users and IT teams to understand system needs, process gaps, reporting needs, and operational challenges.
  • Help analyze current-state workflows and recommend improvements to improve efficiency, usability, data quality, and system performance.
  • Support testing activities, including test case development, user acceptance testing, defect tracking, and issue validation.
  • Assist with troubleshooting system issues, documenting root causes, and coordinating resolution with technical teams.
  • Create and maintain documentation such as process flows, requirements documents, user guides, data mapping, system notes, and support materials.
  • Support reporting, dashboards, data analysis, and business insights as needed.
  • Assist with system enhancements, upgrades, integrations, deployments, and production support activities.
  • Participate in project meetings, document decisions, track action items, and provide status updates to project teams.
  • Collaborate with cross-functional teams, including business operations, IT, data, infrastructure, application development, security, and vendor partners.
  • Learn organizational systems, standards, tools, and processes while continuing to build technical and business analysis capability.

Required Qualifications
  • Bachelor's or master's degree in information systems, computer science, business analytics, data analytics, engineering, technology management, or a related field.
  • Completion of an internship, graduate program, rotational program, academic project, or early-career work experience in IT, systems analysis, business analysis, data analytics, application support, or technology project support.
  • Strong analytical and problem-solving skills with the ability to understand business processes and system functionality.
  • Ability to gather requirements, ask good questions, document findings, and translate business needs into clear technical or functional notes.
  • Exposure to systems analysis, business process analysis, application support, data analysis, testing, or project coordination.
  • Basic understanding of databases, SQL, reporting tools, APIs, integrations, cloud platforms, or enterprise applications.
  • Ability to support testing, troubleshooting, documentation, and user support activities.
  • Strong written and verbal communication skills.
  • Ability to work with both technical and non-technical stakeholders.
  • Strong attention to detail, follow-through, organization, and willingness to learn.
  • Ability to work in a team environment and adapt to changing business and technology priorities.

Preferred Qualifications
  • Experience or academic exposure to automotive, manufacturing, supply chain, customer experience, connected vehicle, mobility, or enterprise IT environments.
  • Exposure to tools such as Jira, Confluence, ServiceNow, SharePoint, Excel, Power BI, Tableau, SQL, Python, or similar.
  • Experience supporting Voice of the Customer, customer data, product quality, operations, business reporting, or process improvement initiatives.
  • Familiarity with Agile, SDLC, UAT, defect management, change management, or IT service management concepts.
  • Exposure to cloud platforms, data pipelines, analytics platforms, enterprise applications, or integration projects.
  • Experience working in a structured corporate, consulting, internship, or rotational program environment.

Ideal Candidate Profile
The ideal candidate is an early-career IT professional who has completed a recent graduate, internship, or rotational technology program and is ready to transition into a full-time IT Systems Analyst role. This person should be curious, analytical, organized, and comfortable working between business and technical teams.
A strong fit will be able to learn systems quickly, document requirements clearly, support testing and troubleshooting, communicate well with stakeholders, and help project teams move work forward. The candidate does not need to be a senior technical expert, but should have a solid foundation in IT, data, systems, business analysis, and problem-solving.
Relevant Skill Areas
  • IT Systems Analysis
  • Business Requirements Gathering
  • Application Support
  • Business Process Documentation
  • Data Analysis
  • SQL / Reporting
  • Testing / UAT Support
  • Defect Tracking
  • Troubleshooting
  • Process Improvement
  • Project Coordination
  • Stakeholder Communication
  • Agile / SDLC Exposure
  • IT Service Management
  • Automotive / Enterprise IT Exposure
  • Voice of the Customer or Customer Experience Analytics

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.

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