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Freelance Python Data Analyst Jobs in Ann Arbor, MI

AAA Life Insurance Company

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 ...

Strategic Staffing Solutions

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

... and Python proficiency Statistics, forecasting, experimentation, and decision analytics Knowledge of data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality ...

Orbotech

Aftermarket Business Data Analyst

Ann Arbor, MI · On-site

$77K - $132K/yr

Write and optimize SQL queries and leverage Python or other analytical tools to automate reporting ... Strong proficiency in data analysis, visualization, and reporting tools. * Advanced analytical and ...

Masco Corporation

Business Data Analyst

Livonia, MI · On-site

The Business Data Analyst is also the operational steward of product attribution providing hands-on ... Exposure to Python for analysis. * Prior experience supporting product attribution, item mapping ...

Hart

Junior Data Analyst

Detroit, MI · On-site

RESPONSIBILITIES • Analyze performance data across social media and marketing campaigns (paid and ... Python) is a plus • Basic understanding of ETL processes and how data is collected, merged ...

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How much do freelance python data analyst jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for freelance python data analyst in Ann Arbor, MI is $32.21, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $35.96 per hour, depending on experience, location, and employer.

What does a freelance Python data analyst do?

A Freelance Python Data Analyst uses Python programming and analytical skills to collect, process, and interpret data for clients on a project or contract basis. Their work often involves cleaning data, running statistical analyses, creating visualizations, and generating actionable insights to help businesses make informed decisions. They may also automate data workflows and build custom scripts or dashboards tailored to client needs. As freelancers, they work independently, managing their own schedules and client relationships.

What skills and qualifications are 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 supported by a degree in a quantitative field. Familiarity with data analysis libraries like pandas, NumPy, and visualization tools such as matplotlib or Tableau is typically required, along with experience using SQL and version control systems like Git. Excellent communication, problem-solving, and self-management skills distinguish successful freelancers who can clearly convey insights to clients and manage multiple projects independently. These skills are crucial for delivering actionable data-driven solutions and maintaining client satisfaction in a competitive freelance environment.

How does a freelance Python data analyst typically manage communication and project expectations with multiple clients?

Freelance Python Data Analysts often work with several clients simultaneously, which requires clear communication and effective project management. They typically use tools like email, project management platforms, and regular video calls to establish project goals, timelines, and deliverables. Setting expectations early and providing frequent updates help build trust and ensure clients are satisfied with the analyst's work. Additionally, strong organizational skills are essential to prioritize tasks and manage overlapping deadlines.

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

AspectFreelance Python Data AnalystFreelance Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
Work EnvironmentProject-based, client-specific, remote or on-siteProject-based, client-specific, remote or on-site
Industry UsageBusiness intelligence, reporting, data cleaningPredictive modeling, advanced analytics, AI development

Freelance Python Data Analysts focus on interpreting data, creating reports, and visualizations using Python, while Freelance Data Scientists work on developing predictive models and advanced analytics. Both roles often operate in similar environments but differ in technical depth and project scope.

What are the most commonly searched types of Python Data Analyst jobs in Ann Arbor, MI?

The most popular types of Python Data Analyst jobs in Ann Arbor, MI are:

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For Freelance Python Data Analyst jobs in Ann Arbor, MI, the most frequently searched job titles are:

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The top searched job categories for Freelance Python Data Analyst jobs in Ann Arbor, MI are:

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Cities near Ann Arbor, MI with the most Freelance Python Data Analyst job openings:

Freelance Python Data Analyst jobs near you
Infographic showing various Freelance Python Data Analyst job openings in Ann Arbor, MI as of June 2026, with employment types broken down into 3% Full Time, 93% Part Time, 1% Contract, and 3% Nights. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $67,003 per year, or $32.2 per hour.

Data Analyst III

Livonia, MI • On-site

AAA Life Insurance Company
Insurance Services • 501 - 1,000 employees
Learn more about AAA Life Insurance Companyexternal

$90 - $120/hr

Other

Re-posted 12 days ago

Job description

Overview

Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions. As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that drive marketing strategies and decision-making.

Responsibilities
  • Lead & develop automated, easy to understand reports and ad hoc analyses to address specific marketing questions and provide insights to guide decision making.
  • 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, patterns, and key performance metrics.
  • Collaborate closely with marketing teams to interpret data and provide actionable insights to optimize marketing campaigns, customer segmentation, and overall strategy.
  • Develop and implement data governance and quality assurance processes.
  • Create and maintain Power BI reports and dashboards to translate complex data into clear visualizations that marketing staff can easily interpret and use to inform their strategies.
  • Lead and develop key performance indicators (KPIs), tracking marketing initiatives against established goals, and providing regular updates to stakeholders.
  • Conduct A/B tests and statistical analyses to evaluate the effectiveness of marketing strategies, making data-driven recommendations for improvements.
  • Collaborate with marketing teams to segment audiences effectively and personalize marketing approaches based on data-driven insights.
  • Maintain clear and organized documentation of data sources, methodologies, and analysis results.
  • Mentor junior data analysts regarding best practices in field.
Qualifications
  • Bachelor in Statistics, Marketing, Economics, Computer Science, or related technical field. Master’s degree is a plus.
  • A minimum of five years’ experience working as a Data Analyst, Marketing Analyst, or similar role.
  • Extensive experience in data analysis tools and programming languages (i.e., Python, R, SQL).
  • Ability to create and interpret reports and dashboards using Power BI, Tableau, or similar data visualization tools.
  • Proficiency with marketing analytics tools and platforms (i.e., Google Analytics, Adobe Analytics).
  • Solid understanding of statistical concepts and experience with A/B testing and hypothesis testing.
  • Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
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