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Python Data Analysis Internship Jobs in Warren, MI

Very Stable, U.S. based manufacturing company with customers in various industries.

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Metrology Data Engineer, CNC or Similar machining-tooling systems Data

Troy, MI · On-site

$110K - $145K/yr

Python-Driven Data Analytics: Leverage Python data libraries (pandas, NumPy, SciPy) to clean raw spatial coordinates, parse geometric output files, handle missing/anomalous measurements, and compute ...

Saransh Inc

GCP Data Engineer with Python

Dearborn, MI · On-site

$105K - $126K/yr

Role: GCP Data Engineer with Python Location: Dearborn, MI (4 days a week onsite) Job Type ... The engineer will collaborate with existing team members, including Software Analysts and Scrum ...

Danaher

Digital Analyst Internships

Rochester Hills, MI

$90K - $107K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Warren, MI

$92K - $109K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Detroit, MI

$97K - $115K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Danaher

Digital Analyst Internships

Sterling Heights, MI

$92K - $109K/yr

Familiarity with data analysis platforms and tools, comfortable extracting and interpreting complex ... Basic programming or scripting experience in Python, SQL, or JavaScript * Experience with Sitecore ...

Megan soft Inc

BI Data Analyst (W2 Position)

Dearborn, MI · On-site

$50 - $55/hr

Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc. * Identify and implement avenues to optimize and enhance data analysis, interpretation and ...

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 ...

Corporate Services

Epidemiologist I

Detroit, MI

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

Corporate Services

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 ...

Stefanini

Data Product Manager

Dearborn, MI

The ideal candidate will bridge business, engineering, analytics, and data science teams to deliver ... Familiarity with SQL, Python, data visualization tools, and modern data architectures. Experience ...

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 ...

Megan soft Inc

Data Analyst (W2 Position)

Dearborn, MI · On-site

Role: Data Analyst Location: Dearborn, MI Duration: 12+ Months Experience: 7 Years Position ... SQL, Python, R (Programming Language), Analytical skills, Google Cloud Platform Experience Required:

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Python Data Analysis Internship information

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How much do python data analysis internship jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for python data analysis internship in Warren, MI is $21.14, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $23.03 per hour, depending on experience, location, and employer.

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 job categories do people searching Python Data Analysis Internship jobs in Warren, MI look for? The top searched job categories for Python Data Analysis Internship jobs in Warren, MI are:
What cities near Warren, MI are hiring for Python Data Analysis Internship jobs? Cities near Warren, MI with the most Python Data Analysis Internship job openings:
Python Data Analysis Internship jobs near you

Metrology Data Engineer, CNC or Similar machining-tooling systems Data

Very Stable, U.S. based manufacturing company with customers in various industries.

Troy, MI • On-site

$110K - $145K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

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After you apply to this job, you can share why you’re interested to jump to the top of the candidate list.

Job description

We are seeking a Senior Metrology Data Engineer to lead the data access and analysis of the metrics surrounding raw vs. end materials after tooling. In this role, you will bridge the gap between high-precision dimensional inspection hardware (CMMs, 3D laser scanners) and data.

You will not just extract dimensional data—you will design, build, and optimize automated ETL pipelines to ingest, clean, and model spatial and geometric datasets. By combining a deep understanding of GD&T (Geometric Dimensioning and Tolerancing) by using Python or other modern data tools, you will transform raw coordinate datasets into real-time, factory-wide Statistical Process Control (SPC) insights and predictive quality analytics.

Core Duties & Responsibilities

  • Build & Maintain Metrology ETL Pipelines: Design and deploy automated data extraction, transformation, and loading (ETL) pipelines to ingest raw, unstructured, and semi-structured outputs (DMO, CSV, XML, JSON) from CMMs and 3D scanners into centralized databases or data lakes.

  • Python-Driven Data Analytics: Leverage Python data libraries (pandas, NumPy, SciPy) to clean raw spatial coordinates, parse geometric output files, handle missing/anomalous measurements, and compute complex custom statistical metrics.

  • Automate Statistical Process Control (SPC): Develop scripts to automatically monitor tolling wear and geometric drift by continuously calculating and updating process capability metrics ($C_p$ and $C_{pk}$) across high-volume production lines.

  • CMM/Scanner Data Integration: Partner with Machine R&D Engineering to standardize output schemas and implement Model-Based Definition (MBD) protocols, ensuring physical measurements perfectly align with digital 3D CAD dimensions via automated workflows.

  • Database Management & Data Modeling: Schema design and management of SQL/NoSQL databases dedicated to quality metrics. Optimize queries to handle high-frequency time-series measurement data coming from multiple production lines.

  • Data Integrity & MSA Automation: Program automated scripts to process Gauge R&R data and generate automated Measurement System Analysis (MSA) reports, ensuring the validity and repeatability of factory sensor data.

Desired Skills/Experience:

  • Education: Bachelor’s degree in Data Engineering, Computer Science, Mechanical/Manufacturing Engineering with a strong programming focus, or equivalent technical experience.

  • Experience: 5+ years of experience in data engineering or quality analytics, with a distinct focus on processing industrial, manufacturing, or spatial/dimensional data.

  • The Python Data Stack: Expert proficiency in Python, specifically for data manipulation and analysis (pandas, NumPy) and data engineering/ETL workflows. Experience with workflow orchestration tools (e.g., Airflow, Prefect) is a major plus.

  • SQL & Database Expertise: Strong proficiency in writing advanced SQL queries, designing database schemas, and managing relational databases (PostgreSQL, MS SQL Server) or time-series databases.

  • Metrology & GD&T Literacy: Solid fundamental understanding of Geometric Dimensioning and Tolerancing (GD&T) principles (ASME Y14.5) and familiarity with metrology software file architectures (e.g., PC-DMIS, Zeiss Calypso, PolyWorks).

  • CI/CD & Version Control: Experience using Git and version control best practices to maintain quality-data infrastructure and script deployments.

Very Competitive Compensation and Benefits (Relocation Assistance is offered), Call or Apply Today!

Company Description

Very Stable, U.S. based manufacturing company with customers in various industries.