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Python Data Analysis Jobs in Michigan (NOW HIRING)

Data Analytics Engineer

Warren, MI · On-site

$107K - $129K/yr

... SharePoint, Python and Oracle SQL Developer to perform Complex data analysis to support General Motors' Global Supplier Quality and Development organization by creating reports and dashboards.

Data Analytics Engineer

Warren, MI · Hybrid

$107K - $129K/yr

... SharePoint, Python and Oracle SQL Developer to perform Complex data analysis to support General Motors' Global Supplier Quality and Development organization by creating reports and dashboards.

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 ...

Sr. Data Analyst

Superior, MI · On-site

$73K - $92K/yr

The goal of the analysis is to identify software improvements that improve user satisfaction ... Expert-level proficiency in SQL, Python, and R * Proven experience with data visualization tools ...

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 ...

... analyzing data and delivering ongoing quality metrics (leveraging SQL, PL SQL, UNIX, PYTHON, HIVE and other tools) Qualifications : Four or more years of test development experience in BI/DW ...

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

Scripting: Proficiency in Python for automation, data analysis, or scripting. * Cloud Platforms: Experience with AWS, Azure, or GCP data services (e.g., EMR, Glue, Databricks). * Data Modeling:

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Python Data Analysis information

See Michigan salary details

$11

$51

$75

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 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:
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.
Senior Finance Data Engineer / Data Analyst

Senior Finance Data Engineer / Data Analyst

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 16 days ago


Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

15th of 44 rated automakers


Job description

We are seeking a Finance Data Engineer / Data Analyst to support the FP&A organization by developing and maintaining Power BI-based financial reporting and analytics solutions. The ideal candidate will have strong data management and modeling skills, paired with a foundational understanding of financial concepts.
Responsibilities Include:
  • Manage the full Power BI data lifecycle: from data extraction and transformation (Bronze/Silver layers) to semantic modeling and dashboard development (Gold layer)
  • Ensure data accuracy, performance, and security across all FP&A reporting tools
  • Handle user access and role-level security within Power BI Service

Key Skills & Requirements:
  • Advanced proficiency in Power BI, Power Query, and DAX
  • Experience integrating data from multiple sources (e.g., Excel, CSV, ERP systems like SAP or OneStream)
  • Ability to clean, transform, and standardize data into analytics-ready models
  • Experience deploying and maintaining dashboards in Power BI Service
  • Basic understanding of financial reporting structures (e.g., P&L, revenue, cost, variance analysis)
  • Strong analytical mindset with attention to data accuracy, consistency, and performance optimization

Basic Qualifications:
  • Bachelor's degree in Data Analytics, Computer Science, Financial Technology or a related field
  • Minimum of 5 years' extensive experience with PowerBI
  • Minimum of 8 years' overall relevant work experience
  • Thrive in a fast-paced, dynamic work environment

Preferred Qualifications:
  • Power BI certification or similar credentials
  • Experience with ETL tools or scripting languages (e.g., SQL, Python) for advanced data transformation
  • Experience with Onestream, SAP or Oracle tools

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