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Python Data Analysis Internship Jobs in Michigan

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 ...

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

FastTek

DevOps Senior Specialist

Dearborn, MI

$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.

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 ...

Lancesoft

Data Analyst

Detroit, MI · On-site

$45 - $50/hr

* Seeking Data Analyst to identify group divisions with HSA deductibles below as per requirements ... Net and python * Database development and design * Background in insurance Education: * Background ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using BigQuery, GCS, and Python. * Performing data reconciliation, fuzzy matching, and standardization across ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

Analyze, manipulate and process large sets of data * Develop predictive/machine learning models ... Python and at least one strongly typed language (e.g., C++, Java, etc.) * 3 years of experience ...

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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
Data Product Manager

Data Product Manager

HTC Global Services

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago

Job description

Job Title
Data Product Manager
Overview
We are seeking a Data Product Manager to define, develop, and manage data products that enable business insights, operational efficiency, and data-driven decision-making. The ideal candidate will partner with business, engineering, analytics, and data science teams to deliver scalable, high-quality data solutions aligned with organizational goals.
Key Responsibilities
  • Define and own the vision, strategy, roadmap, and lifecycle of data products.
  • Partner with business stakeholders to understand data needs and translate them into product requirements.
  • Collaborate with data engineers, architects, analysts, and data scientists to design and deliver data products and platforms.
  • Prioritize features, enhancements, and technical investments based on business value and customer impact.
  • Establish and track key performance indicators (KPIs) for data product adoption, quality, and business outcomes.
  • Drive data governance, metadata management, data quality, and compliance initiatives.
  • Develop user stories, acceptance criteria, and product backlogs.
  • Lead Agile ceremonies and coordinate cross-functional teams to ensure timely delivery.
  • Gather feedback from users and stakeholders to continuously improve data products.
  • Communicate product strategy, progress, and outcomes to leadership and stakeholders.
  • Ensure data products support scalability, security, reliability, and regulatory requirements.

Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Business, Data Analytics, or a related field.
  • 10+ years of IT experience, including 4+ years of relevant specialization.
  • 5+ years of experience in Product Management, Data Management, Business Intelligence, Analytics, or a related field.
  • Strong understanding of data warehousing, data modeling, ETL/ELT processes, and cloud data platforms.
  • Experience working with Agile methodologies and product management frameworks.
  • Ability to translate complex technical concepts into business value.
  • Strong stakeholder management, communication, and leadership skills.
  • Experience defining KPIs, product metrics, and business cases.

Preferred Qualifications
  • 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 visualization tools, and modern data architectures.
  • Experience with data governance, master data management, and data catalog solutions.
  • Experience leading enterprise-scale data transformation initiatives.

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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