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Freelance Python Data Analysis Jobs in Michigan (NOW HIRING)

Data Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Docker * Python * Data Management Skills Preferred: GitHub, Machine Learning Experience Required ... Excellent problem-solving, analytical, and critical thinking skills. * Strong communication and ...

Data Analyst

Dearborn, MI · On-site

$38 - $50/hr

Essential Skills * 2-5 years of experience in Data Analysis, Cost Analysis, and Financial Analysis. * 2+ years of experience using Power BI, Python, and SQL. * Completed Bachelor's Degree in a ...

New

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

Data Analyst

Dearborn, MI · On-site

$38 - $50/hr

Essential Skills * 2-5 years of experience in Data Analysis, Cost Analysis, and Financial Analysis. * 2+ years of experience using Power BI, Python, and SQL. * Completed Bachelor's Degree in a ...

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 ...

Python for data analysis and modeling. * SQL for data extraction and manipulation * Experience with ArcGIS. * Data visualization tools such as Tableau, Power BI, or matplotlib/seaborn libraries.

Python for data analysis and modeling. * SQL for data extraction and manipulation * Experience with ArcGIS. * Data visualization tools such as Tableau, Power BI, or matplotlib/seaborn libraries.

Python for data analysis and modeling. * SQL for data extraction and manipulation * Experience with ArcGIS. * Data visualization tools such as Tableau, Power BI, or matplotlib/seaborn libraries.

Showing results 41-60

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?

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 are popular job titles related to Freelance Python Data Analysis jobs in Michigan?

For Freelance Python Data Analysis jobs in Michigan, the most frequently searched job titles 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:

Infographic showing various Freelance Python Data Analysis job openings in Michigan as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution.

Safety Field Investigations - Data Analyst

General Motors

Warren, MI • Hybrid

Full-time

Posted 17 days ago


General Motors rating

8.2

Company rating: 8.2 out of 10

General Motors

Based on 306 frontline employees who took The Breakroom Quiz

7.4

Company rating compared to similar companies: 7.4 out of 10

Automakers average

Based on 6,287 frontline employees who took The Breakroom Quiz


Job description

Job Description

The Role

The Safety Field Investigations (SFI) Data Analyst supports Global Field Action Execution by leading data analysis, reporting, and data pipeline activities that improve field action decision-making and operational execution. This role builds on the current SFI Analyst scope by combining VIN population analysis, cost modeling, internal reporting, and database support with modern data engineering and visualization capabilities.

The ideal candidate brings strong analytical and problem-solving ability, works effectively across global teams, and can translate complex operational and engineering data into actionable business insights.

What You'll Do (Responsibilities):

  • Lead field action VIN population analysis and definition to determine vehicle eligibility, support customer contact strategy, and help complete required documentation.
  • Design, maintain, and improve data pipelines and data workflows that support field action analytics, reporting, and operational decision-making.
  • Perform data preprocessing, cleansing, validation, and feature engineering to improve data quality and usability for analysis.
  • Develop cost estimates and analytical models to support corporate financial accruals and business planning.
  • Create and distribute internal field performance and field action communications for global and regional stakeholders.
  • Support the administration, enhancement, and data governance of the Global SFI database and related analytical tools.
  • Build dashboards, scorecards, and self-service reporting solutions using Tableau and Power BI to monitor field action performance and trends.
  • Use SQL, Databricks, Hadoop, Pandas, and NumPy to analyze large datasets, automate recurring analysis, and generate actionable insights.
  • Partner with engineering, operations, and global teams to solve complex problems, align on data definitions, and drive consensus on key decisions.
  • Apply knowledge of automotive engineering terms, systems, and components to interpret data and support field action execution.

Your Skills & Abilities (Required Qualifications):

  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, or a related field; equivalent relevant experience may be considered.
  • 5+ years of related experience or demonstrated proficiency in analytical and technical roles.
  • Strong oral and written communication skills.
  • Strong interpersonal skills and the ability to work effectively with cross-functional and global partners.
  • Demonstrated ability to work independently, solve highly complex problems, and lead teams to consensus when needed.
  • High level of analytical ability, especially when working with unusual or difficult problems.
  • Strong experience with SQL and data analysis in large, complex datasets.
  • Hands-on experience with data engineering and big data environments such as Databricks and Hadoop.
  • Experience building and maintaining data pipelines and performing data preprocessing and feature engineering.
  • Experience creating dashboards and visual analytics using Tableau and Power BI.
  • Proficiency with Python-based analytics tools such as Pandas and NumPy.
  • Strong estimating, planning, and organizational skills.

What Can Give You a Competitive Edge (Preferred Qualifications):

  • Experience with automotive components and systems.
  • Experience with GM systems such as QDAP and other performance integration-related applications.
  • Experience with GM Data Structure
  • Advanced proficiency in Excel, Access, or other analytical tools.
  • Good project management skills.
  • Experience developing enterprise data models, automated reporting, or scalable analytics solutions in operational environments.

#LI-KE2

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc). This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}. This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.


Working at General Motors


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About General Motors

Sourced by ZipRecruiter

General Motors is a company with global scale and capabilities, headquartered in Detroit, Michigan, with employees around the world. The company employs over 165,000 people, serves six continents, operates across 22 time zones, and has a diverse workforce speaking 75 languages1. GM’s vision is to drive the world forward by pioneering innovations that move and connect people to what matters. The company is working towards an all-electric future with its new Ultium Platform and is pushing transportation options beyond our wildest imaginations with autonomous vehicles. GM is also committed to becoming the most inclusive company in the world.

Industry

Transportation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Detroit, MI, US

Year founded

1908