ZipRecruiter

Log In

1

Intern Python Data Analyst Jobs in Inkster, MI (NOW HIRING)

Henry Ford Health System

Epidemiologist I

Detroit, MI · On-site

SAS, R, Python, Data visualization, Data curation/transformation, Spatial epidemiologic analysis, Geocoding and GIS mapping, epidemiological research-based computational modeling and simulation ...

Epitec

Data Scientist

Southfield, MI · On-site

$128K/yr

... in Python, ensuring seamless integration with diverse data ecosystems while adhering to best ... hoc data analysis tasks, providing rapid, data-driven insights for immediate business needs ...

FastTek

Data Architect Specialist

Dearborn, MI

$58.50 - $75.25/hr

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 ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI

... oriented Data Analytics Intern to join our team and contribute to the business development ... Coding skills (knowledge of languages like Python, R, or SQL). * Develop reporting and charting ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI · On-site

... oriented Data Analytics Intern to join our team and contribute to the business development ... Coding skills (knowledge of languages like Python, R, or SQL). * Develop reporting and charting ...

VBeyond

Sr Python Developer & Lead

Pontiac, MI · On-site

$139K - $170K/yr

Role: Sr Python Developer & Lead Location : Auburn Hills, MI (Onsite) Type: Fulltime Mandate ... Analyze and resolve technical issues across the data stack, including pipeline failures and ...

next page

Showing results 1-20

All JobsIntern Python Data Analyst JobsIntern Python Data Analyst Jobs in Inkster, MI

Intern Python Data Analyst information

See Inkster, MI salary details

$11

$21

$39

How much do intern python data analyst jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for intern python data analyst in Inkster, MI is $21.06, according to ZipRecruiter salary data. Most workers in this role earn between $16.20 and $22.93 per hour, depending on experience, location, and employer.

What does an Intern Python Data Analyst do?

An Intern Python Data Analyst assists in collecting, processing, and analyzing data using Python programming language. They support the data team by writing scripts to clean and visualize data, and help generate insights from large datasets. Interns also learn to use data analysis libraries such as pandas, NumPy, and matplotlib, and may assist with reporting or automation tasks. This role is typically entry-level and offers hands-on experience in data analysis within a supervised environment.

What is the difference between Intern Python Data Analyst vs Intern Data Scientist?

AspectIntern Python Data AnalystIntern Data Scientist
Required SkillsPython, SQL, Excel, Data VisualizationPython, R, Machine Learning, Statistical Analysis
Work EnvironmentData analysis, reporting, dashboardsModel development, predictive analytics, research
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, research institutions

Intern Python Data Analysts focus on analyzing data, creating reports, and visualizations using Python and related tools. Intern Data Scientists work on building models, applying machine learning, and conducting advanced statistical analysis. While both roles require Python skills, Data Scientists typically need additional knowledge of R and machine learning techniques. The roles often overlap in industries like tech and finance, but Data Scientists tend to engage in more complex predictive tasks, whereas Data Analysts focus on interpreting data for business insights.

What types of projects and tasks can an Intern Python Data Analyst expect to work on during their internship?

As an Intern Python Data Analyst, you can expect to work on a variety of data-driven projects, such as cleaning and preparing datasets, creating data visualizations, and running exploratory data analysis using Python libraries like pandas and matplotlib. You'll likely support senior analysts by automating data collection processes and helping to generate regular reports. Collaboration with team members from different departments is common, as you'll need to understand business needs and present your findings in a clear, actionable way. These experiences provide valuable exposure to real-world data challenges and can help you develop both technical and communication skills crucial for advancing in data analytics.

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

To thrive as an Intern Python Data Analyst, you need a solid understanding of data analysis concepts, proficiency in Python, and familiarity with statistics, typically supported by coursework in data science or a related field. Experience using tools like pandas, NumPy, Jupyter Notebook, and SQL, as well as exposure to data visualization libraries such as matplotlib or seaborn, is highly beneficial. Curiosity, attention to detail, and strong problem-solving and communication skills help you extract insights and present findings effectively. These skills are important for accurately analyzing data, translating results into actionable insights, and supporting data-driven decisions within an organization.
Intern Python Data Analyst jobs near you
Warranty Data Analyst / Data Scientist

Warranty Data Analyst / Data Scientist

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 7 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

Are you passionate about transforming data into actionable insights that drive product quality and customer satisfaction? We are seeking a strategic and hands-on Data Scientist to support Warranty Analytics and Programs within our North America quality team.
The ideal candidate combines strong analytical skills with practical experience building scalable analytics, models, and data products in enterprise environments. You will be part of a talented team driving predictive analytics and early detection of emerging quality trends using vast datasets across the enterprise.
This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and value.
Key Responsibilities:
  • Lead and coordinate cross-functional AI programs from concept to deployment, ensuring alignment with business goals and timelines
  • Collaborate with other data scientists, engineers, and business stakeholders to define and prioritize program objectives
  • Apply statistical analysis and machine learning techniques to solve business and operational problems
  • Partner with business stakeholders to understand requirements and translate them into analytical solutions
  • Translate business needs into actionable AI use cases and technical requirements
  • Build and deploy predictive models to forecast warranty claims, failure rates, and cost trends
  • Ensure data quality, lineage, documentation, and compliance with governance requirements
  • Create dashboards and analytical outputs that drive insight adoption and operational impact
  • Collaborate with business data engineers, and platform teams on scalability, performance, and best practices

Basic Qualifications:
  • Bachelor's degree in Data Science, Statistics, Engineering, Computer Science, or related field
  • 5+ years experience as Data Scientist, Advanced Analyst, or similar role
  • Strong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry Workshop)
  • Solid understanding of statistics, exploratory data analysis, and applied machine learning
  • Experience working with large, complex datasets in enterprise environments
  • Ability to communicate analytical findings clearly to technical and non-technical audiences
  • Proven experience delivering end-to-end analytics or data science solutions into production
  • Experience with one or two data and cloud platforms (e.g., Palantir Foundry. Snowflake, Databricks AWS, Azure, GCP)
  • Strong communication and stakeholder engagement skills

Preferred Qualifications:
  • Familiarity with data modeling, semantic layers, and enterprise data platforms
  • Industry experience in automotive and manufacturing
  • Exposure to MLOps concepts, model deployment, or monitoring
  • Hands-on experience with Palantir Foundry, Snowflake Intelligence
  • Master's degree in Data Science, Statistics, Engineering, Computer Science, or related field

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply