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Python Data Analysis Jobs in Michigan (NOW HIRING)

... Python Development • Automation Frameworks • AI / ML / Data Analytics • APIs & Engineering Tool Integration • GitHub • Codebeamer • MagicDraw / Cameo • ISO 26262 • Requirements ...

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 ...

Data Analyst III

Livonia, MI · On-site

$90 - $120/hr

Utilize statistical techniques and data analysis tools (i.e., Python, R, SQL) to gather, clean, analyze, and provide recommendations regarding large datasets from various sources, identifying trends ...

Quality Analytics Engineer

Dearborn, MI · On-site

$66K - $86K/yr

The ideal candidate has experience with big-data analytics, SQL, Python, data visualization, and automated data pipelines. Responsibilities include developing dashboards and reports, automating data ...

Sr Data Analyst

Midland, MI · On-site

$73K - $93K/yr

Expertise in data analysis tools: Python, R, Power BI, Tableau, Excel (advanced with formulas and macros), QlikView, SAS, or other statistical software. Exceptional communication and presentation ...

Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ... reporting, analysis, and operational workflows. * Develop queries, scripts, dashboards ...

Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ... reporting, analysis, and operational workflows. * Develop queries, scripts, dashboards ...

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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 Aug 25, 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?

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 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 key skills and qualifications needed to thrive in python data analysis, 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 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:

Infographic showing various Python Data Analysis job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $106,276 per year, or $51.1 per hour.

Automotive roles

Dearborn, MI • On-site

Other

Posted 10 days ago


Job description

Employment: Full-Time Location: USA Roles Open for Full-Time:- 1. Body Feature Systems Engineer 2. Functional Safety Engineer – Body / Steering 3. Functional Safety Software & Automation Engineer 4. FSE FEAS Process Lead Job Descriptions are as follows for each role: 1. Body Feature Systems Engineer Key Skills: • Body Domain Systems Engineering • Requirements Engineering & Feature Use Cases • Boundary Diagrams & Validation Planning • MBSE / SysML / MagicDraw • Python • CANalyzer / DET • Issue Triage & Root-Cause Analysis • Requirements Traceability 2. Functional Safety Engineer – Body / Steering Key Skills: • Automotive Functional Safety • ISO 26262 • HARA / FSC / SRS / FTA • MagicDraw / SysML / MBSE • Python • Requirements Refinement & Traceability • Gherkin Scenarios • GitHub • Cross-functional Systems Engineering 3. Functional Safety Software & Automation Engineer Key Skills: • Strong Python Development • Automation Frameworks • AI / ML / Data Analytics • APIs & Engineering Tool Integration • GitHub • Codebeamer • MagicDraw / Cameo • ISO 26262 • Requirements Traceability • Functional Safety Automation & Compliance Evidence 4. FSE FEAS Process Lead Key Skills: • FEAS / FSE Process & Feature Scoping • Automotive Systems Engineering • Python / Data Analysis / Automation • MagicDraw / MBSE • Jira / ALM / Project Tracking • Functional Safety Impact Routing • Cybersecurity / OTA Exposure • Technical Planning & Governance • Stakeholder Coordination • Requirements, Scope & Dependency Management