ZipRecruiter

Log In

1

Senior Python Data Analyst Jobs in Detroit, MI (NOW HIRING)

ZF

Sr. Data Analyst-Materials Management

Farmington Hills, MI

$84.60K - $106.80K/yr

What you can look forward to as Senior Data Analyst- Materials Management: * Lead data analysis using Microsoft Access, Excel, and other tools to support corporate initiatives and datadriven decision ...

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 ...

Sun, Inc.

Procurement Data Analyst

Southfield, MI

Familiarity with SQL or Python (Preferred) * Strong analytical and problem‑solving capabilities * Excellent communication skills, able to simplify complex data for stakeholders * Ability to ...

next page

Showing results 1-20

People also search for

All JobsPython Data Analyst JobsSenior Python Data Analyst JobsSenior Python Data Analyst Jobs in Detroit, MI

Senior Python Data Analyst information

See Detroit, MI salary details

$54.4K

$98.2K

$134.1K

How much do senior python data analyst jobs pay per year?

As of May 30, 2026, the average yearly pay for senior python data analyst in Detroit, MI is $98,235.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,100.00 and $107,400.00 per year, depending on experience, location, and employer.

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

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What are popular job titles related to Senior Python Data Analyst jobs in Detroit, MI? For Senior Python Data Analyst jobs in Detroit, MI, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analyst jobs in Detroit, MI look for? The top searched job categories for Senior Python Data Analyst jobs in Detroit, MI are:
Senior Python Data Analyst jobs near you
Data Engineer (Python)

Data Engineer (Python)

Noblesoft Technologies

Auburn Hills, MI • On-site

$108.40K - $130.10K/yr

Contractor

Posted 26 days ago

Job description

Job Role: Senior Data Engineer (Python)

Location: Auburn Hills, MI
 

Mandatory Skills: Data Engineering, Python, PySpark, CI/CD, Airflow, Workflow Orchestration

Overall Experience: 8+ years of relevant experience

JOB REQUIREMENTS -

The Senior Data Engineer & Technical Lead (SDET Lead) will play a pivotal role in delivering major data engineering initiatives within the Data & Advanced Analytics space. This position requires hands-on expertise in building, deploying, and maintaining robust data pipelines using Python, PySpark, and Airflow, as well as designing and implementing CI/CD processes for data engineering projects

Key Responsibilities
1. Data Engineering: Design, develop, and optimize scalable data pipelines using Python and PySpark for batch and streaming workloads.
2. Workflow Orchestration: Build, schedule, and monitor complex workflows using Airflow, ensuring reliability and maintainability.
3. CI/CD Pipeline Development: Architect and implement CI/CD pipelines for data engineering projects using GitHub, Docker, and cloud-native solutions.
4. Testing & Quality: Apply test-driven development (TDD) practices and automate unit/integration tests for data pipelines.
5. Secure Development: Implement secure coding best practices and design patterns throughout the development lifecycle.
6. Collaboration: Work closely with Data Architects, QA teams, and business stakeholders to translate requirements into technical solutions.
7. Documentation: Create and maintain technical documentation, including process/data flow diagrams and system design artifacts.
8. Mentorship: Lead and mentor junior engineers, providing guidance on coding, testing, and deployment best practices.
9. Troubleshooting: Analyze and resolve technical issues across the data stack, including pipeline failures and performance bottlenecks.
Cross-Team Knowledge Sharing: Cross-train team members outside the project team (e.g., operations support) for full knowledge coverage.

Includes all above skills, plus the following;
·         Minimum of 7+ years overall IT experience
·         Experienced in waterfall, iterative, and agile methodologies

Technical Experience:

1. Hands-on Data Engineering : Minimum 5+ years of practical experience building production-grade data pipelines using Python and PySpark.
2. Airflow Expertise: Proven track record of designing, deploying, and managing Airflow DAGs in enterprise environments.
3. CI/CD for Data Projects : Ability to build and maintain CI/CD pipelines for data engineering workflows, including automated testing and deployment**.
4. Cloud & Containers: Experience with containerization (Docker and cloud platforms (GCP) for data engineering workloads. Appreciation for twelve-factor design principles
5. Python Fluency : Ability to write object-oriented Python code manage dependencies, and follow industry best practices
6. Version Control: Proficiency with **Git** for source code management and collaboration (commits, branching, merging, GitHub/GitLab workflows).
7. Unix/Linux: Strong command-line skills** in Unix-like environments.
8. SQL : Solid understanding of SQL for data ingestion and analysis.
9. Collaborative Development : Comfortable with code reviews, pair programming and using remote collaboration tools effectively.
10. Engineering Mindset: Writes code with an eye for maintainability and testability; excited to build production-grade software
11. Education: Bachelor’s or graduate degree in Computer Science, Data Analytics or related field, or equivalent work experience.

Unique Skills

• Graduate degree in a related field, such as Computer Science or Data Analytics
• Familiarity with Test-Driven Development (TDD)
• A high tolerance for OpenShift, Cloudera, Tableau, Confluence, Jira, and other enterprise tools