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Python Data Analysis Internship Jobs in Michigan

Saanvi Technologies

Senior Data Product Manager

Dearborn, MI · On-site

$116K - $153K/yr

Master's degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as Amazon Web Services, Microsoft, or Google. * Familiarity with SQL, Python, data ...

HTC Global Services

Data Product Manager

Dearborn, MI · On-site

Master's degree in Business, Data Science, Analytics, or a related field. * Experience with cloud platforms such as AWS, Microsoft Azure, or Google Cloud. * Familiarity with SQL, Python, data ...

Epitec

Data Engineer

Southfield, MI · On-site

$114K/yr

... analyzing resulting data and delivering reports and dashboards demonstrating compliance with internal and external requirements; utilize and apply knowledge of Python, SQL, Shell scripting, MATLAB, C ...

FastTek

DevOps Senior Specialist

Dearborn, MI · On-site

$119K - $153K/yr

Data Analysis - 5+ Years * Data Collection - 5+ Years * Python - 3+ Years * React - 3+ Years * JavaScript - 3+ Years Experience Required: * Senior Specialist Exp: 7+ experience in relevant field.

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long tern Rate: Market Key ... Databricks, Python (Scripting), Jupyter, Spark, Hue * Oracle PL/SQL, Oracle DBMS, Hadoop DBMS

Faurecia

Data Science Intern

Auburn Hills, MI · On-site

Use Python and common machine learning frameworks (e.g., PyTorch, TensorFlow, or scikit-learn) to ... Data analysis and excel skills are a plus * Majors in computer science, data analysis, or related ...

Faurecia

Data Science Intern

Auburn Hills, MI

Use Python and common machine learning frameworks (e.g., PyTorch, TensorFlow, or scikit-learn) to ... analysis and excel skills are a plus Majors in computer science, data analysis, or related firld ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$107K - $182K/yr

... Python for data analysis, scripting, and software development tasks. 2. Utilizing SQL for querying, managing, and optimizing relational databases. 3. Applying mathematical optimization techniques to ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site

$66K - $186K/yr

... Python or R for data analysis and model development. 2. Communicating complex statistical and technical topics and data-driven insights effectively to non-technical users. Education and/or experience ...

TEKsystems

Sr Product Data Analyst - W2 Only

Dearborn, MI · On-site

$45 - $65/hr

Expertise in data analysis tools (especially SQL and preferably Python/R), cloud platforms (e.g., GCP), Tableau, experimentation frameworks, and working across the full data stack (data engineering ...

TEKsystems

Sr Product Data Analyst - W2 Only

Dearborn, MI · On-site

$45 - $65/hr

Expertise in data analysis tools (especially SQL and preferably Python/R), cloud platforms (e.g., GCP), Tableau, experimentation frameworks, and working across the full data stack (data engineering ...

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All JobsPython Data Analysis JobsPython Data Analysis Internship JobsPython Data Analysis Internship Jobs in Michigan

Python Data Analysis Internship information

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python Data Analysis Intern, and why are they important?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.
What are the most commonly searched types of Python Data Analysis jobs in Michigan? The most popular types of Python Data Analysis jobs in Michigan are:
What are popular job titles related to Python Data Analysis Internship jobs in Michigan? For Python Data Analysis Internship jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in Michigan look for? The top searched job categories for Python Data Analysis Internship jobs in Michigan are:
What cities in Michigan are hiring for Python Data Analysis Internship jobs? Cities in Michigan with the most Python Data Analysis Internship job openings:
Python Data Analysis Internship jobs near you
Infographic showing various Python Data Analysis Internship job openings in Michigan as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution.
System Analyst - L1

System Analyst - L1

HTC Global Services

Auburn Hills, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 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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