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Freelance Python Data Analysis Jobs in Michigan (NOW HIRING)

Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using BigQuery, GCS, and Python. * Performing data reconciliation, fuzzy matching, and standardization across ...

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 ...

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 ...

Familiarity with dimensional modeling concepts (fact tables, dimensions, star schemas) and the rationale behind analytical data model structures. * Proficiency in Python for data science and machine ...

Familiarity with dimensional modeling concepts (fact tables, dimensions, star schemas) and the rationale behind analytical data model structures. * Proficiency in Python for data science and machine ...

Familiarity with dimensional modeling concepts (fact tables, dimensions, star schemas) and the rationale behind analytical data model structures. * Proficiency in Python for data science and machine ...

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Freelance Python Data Analysis information

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a Freelance Python Data Analyst, and why are they important?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.
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 Freelance Python Data Analysis jobs in Michigan look for? The top searched job categories for Freelance Python Data Analysis jobs in Michigan are:
What cities in Michigan are hiring for Freelance Python Data Analysis jobs? Cities in Michigan with the most Freelance Python Data Analysis job openings:
AI & Data Solutions Analyst - Technical Safety & Regulatory Compliance

AI & Data Solutions Analyst - Technical Safety & Regulatory Compliance

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 15 days ago


Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 124 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers


Job description

Overview:
The AI & Data Solutions Analyst supports the Technical Safety and Regulatory Compliance (TSRC) organization by executing AI and data-driven initiatives that enhance safety investigations, regulatory reporting, and operational decision-making. This role combines data ownership, analytics execution, and AI use case delivery, acting as a key contributor in translating business needs into scalable AI and data solutions.
Key Responsibilities:
AI Use Case Delivery:
- Support identification, definition, and execution of AI use cases aligned with TSRC priorities
- Coordinate development, testing, and deployment of AI solutions
- Track adoption, usage, and business impact of AI initiatives
  • Data Ownership & Governance:

- Ensure TSRC data is defined, structured, and compliant with governance standards
- Validate data quality and readiness for analytics and AI
- Document data sources, flows, and business rules
  • Data Analysis & Reporting:

- Analyze safety and regulatory data to identify trends and insights
- Develop dashboards and reports (Power BI)
- Support data-driven decision-making across TSRC
  • Process Automation:

- Develop solutions using Power Apps and Power Automate
- Identify and implement workflow automation opportunities
  • Project Support:

- Manage assigned workstreams and deliverables
- Track timelines, risks, and project milestones
  • Stakeholder Engagement:

- Collaborate with TSRC, ICT, and business stakeholders
- Support training and adoption of tools
Basic Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 7+ years of experience in data analytics or AI-related roles
  • Experience with Power BI, Palantir, Power Apps, or Power Automate
  • Strong analytical and problem-solving skills

Preferred Qualifications:
  • Experience with AI tools or platforms
  • Exposure to Python or SQL
  • Experience in regulatory or compliance environment
  • Experience with Microsoft Azure/Google Cloud Platform/Amazon Web Services
  • Willingness to learn
  • Analytical thinking and data-driven mindset
  • Attention to detail and governance discipline
  • Strong communication and collaboration skills

What Stellantis employees say

Pay

Benefits

Hours and flexibility

Workplace

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