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Python Data Analysis Jobs in Michigan (NOW HIRING)

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

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Data Engineer IoT PLC Machinery Industrial Data pushes and pulls, new

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 ...

OpTech

Snowflake Data Analyst

Detroit, MI · On-site

$45 - $55/hr

Perform data validation, quality checks, and root cause analysis to ensure data accuracy. * Create ... Experience with Python, R, or other analytical tools. * Understanding of data warehousing and ...

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 ...

Ford Motor Company

Data Scientist

Dearborn, MI · On-site +1

$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 ...

FastTek

Data Architect Specialist

Dearborn, MI · On-site

$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 ...

Tech Tammina LLC

Data Scientists Modeling

Dearborn, MI · On-site

... analysis results and model insights into clear, business-oriented solutions. • Proficiency in at least one major programming language used in data science (e.g., Python, R). Skills Preferred: • ...

AD Mortgage

Mortgage Servicing Data Analyst

Troy, MI

Escrow analysis, Loss mitigation, Default servicing, Investor reporting • Familiarity with Python ... Data visualization • ETL/data validation • Reporting automation What We Offer | Career and ...

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How much do python data analysis jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for python data analysis in Michigan is $51.09, according to ZipRecruiter salary data. Most workers in this role earn between $42.12 and $58.03 per hour, depending on experience, location, and employer.

What is a Python Data Analysis job?

A Python Data Analysis job involves using Python programming to collect, clean, analyze, and visualize data for insights and decision-making. Professionals in this role use libraries like Pandas, NumPy, and Matplotlib to manipulate datasets and perform statistical analysis. They may work in various industries, solving business problems, identifying trends, and supporting data-driven strategies. Strong programming skills, data wrangling expertise, and knowledge of analytical techniques are essential for success in this field.

What are the key skills and qualifications needed to thrive in the Python Data Analysis position, and why are they important?

To thrive in a Python Data Analysis role, you need strong proficiency in Python programming, statistical analysis, and data wrangling, often backed by a degree in computer science, mathematics, or a related field. Familiarity with tools such as Pandas, NumPy, Jupyter Notebook, and visualization libraries like Matplotlib or Seaborn, along with potential certifications in data analysis or Python, is highly valuable. Analytical thinking, attention to detail, and effective communication help translate complex data findings into actionable insights for stakeholders. These capabilities are crucial for transforming raw data into meaningful information that supports business decision-making.

What are the typical responsibilities of someone working in Python Data Analysis?

Professionals in Python Data Analysis are usually responsible for collecting, cleaning, and analyzing datasets to uncover trends and inform business strategies. Their daily tasks often include writing Python scripts, visualizing data, conducting statistical analyses, and preparing reports that summarize their findings for both technical and non-technical audiences. Collaboration with data engineers, business analysts, and project managers is common, ensuring that data solutions align with organizational goals. This role offers opportunities to build expertise in specialized areas, such as machine learning or business intelligence, and can lead to career advancement in data science or analytics leadership positions.

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 jobs in Michigan? For Python Data Analysis jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis jobs in Michigan look for? The top searched job categories for Python Data Analysis jobs in Michigan are:
What cities in Michigan are hiring for Python Data Analysis jobs? Cities in Michigan with the most Python Data Analysis job openings:
Python Data Analysis jobs near you
Infographic showing various Python Data Analysis 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, with an average salary of $106,276 per year, or $51.1 per hour.

Data Engineer IoT PLC Machinery Industrial Data pushes and pulls, new

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 19 days ago

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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 GD&T (Geometric Dimensioning and Tolerancing) data 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.
  • CI/CD & Version Control: Experience using Git and version control best practices to maintain quality-data infrastructure and script deployments.

Pluses: (nice to have/should be willing to learn): Metrology & GD&T Literacy/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).

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.