ZipRecruiter

Log In

1

Freelance Python Data Analyst Jobs in Ann Arbor, MI

Corporate Services

Lead Data Scientist

Detroit, MI · On-site

Three plus (3+) years of experience with predictive, forecasting, and optimization problem solving using data analytics tools like Python, R or SAS. Two plus (2+) years of experience involving ...

krg technology inc

Big data Tester

Detroit, MI

... 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 ...

Cloud BC Labs

GCP Data Engineer

Dearborn Heights, MI · On-site

... Python, ETL/ELT tools, and BI tools. This role will collaborate closely with product owners, analysts, and business stakeholders to ensure data accessibility, reliability, and security.

Pwc

AI & GenAI Data Scientist-Director

Detroit, MI

$155K - $410K/yr

... Python and C++ to develop and deploy AI models - Managing complex data analysis and confirming data quality and integrity within analytics frameworks - Encouraging creativity and innovation in ...

Rocket Limited Partnership

Data Scientist

Detroit, MI · On-site

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 ...

Rock Connections

Data Scientist

Detroit, MI

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 ...

previous pagenext page

Showing results 21-40

All JobsPython Data Analyst JobsFreelance Python Data Analyst JobsFreelance Python Data Analyst Jobs in Ann Arbor, MI

Freelance Python Data Analyst information

See Ann Arbor, MI salary details

$12

$32

$60

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

As of Aug 9, 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 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 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.

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.

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 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:
What are popular job titles related to Freelance Python Data Analyst jobs in Ann Arbor, MI? For Freelance Python Data Analyst jobs in Ann Arbor, MI, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in Ann Arbor, MI look for? The top searched job categories for Freelance Python Data Analyst jobs in Ann Arbor, MI are:
What cities near Ann Arbor, MI are hiring for Freelance Python Data Analyst jobs? 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.

Senior Data Analyst, Financial Analytics

Rocket Limited Partnership

Detroit, MI • On-site

$84K - $105K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Job description

As a Senior Data Analyst embedded within the Finance organization, you will serve as a primary analytical resource for executive leadership. You will translate complex financial and operational data into clear, decision-grade analysis that drives how the organization understands its revenue trajectory, manages intra-quarter performance, and sets expectations with its most senior stakeholders. This role sits at the intersection of finance & analytics, requiring both the strategic judgment to influence high-stakes decisions and the technical depth to build the infrastructure that makes rigorous analysis possible.
About the role
  • Support forecasting of Rocket's mortgage production & revenue across all channels, contributing analytical work across long-range forecasts, quarterly outlooks, and regular updates that reflect the latest business trends and macroeconomic conditions; this work reaches the most senior levels of the organization and is central to how the business sets and communicates expectations
  • Own intra-quarter pacing analysis, monitoring revenue, and EPS performance relative to targets throughout the quarter, identifying risks and opportunities early, and providing actionable insight to finance leadership on how to close gaps or capitalize on upside
  • Identify and execute opportunities to automate existing financial reporting processes, reducing manual effort and improving consistency and reliability of recurring deliverables
  • Build and maintain enterprise-level P&L models, including active development of a loan-level P&L integrated with Snowflake
  • Develop and maintain production goal-setting models for sales, translating financial targets into associated operational goals
  • Support quarterly earnings preparation by providing data, trend analysis, and analytical context to the Investor Relations (IR) team; partner with IR and finance leadership to help shape the narrative for prepared remarks based on observed business performance
  • Contribute to the buildout of finance data infrastructure on Snowflake, including integration of AI-assisted workflows to streamline financial analysis and reporting
  • Partner with engineering to integrate finance source systems into Snowflake and establish a scalable, finance-owned data foundation
  • Create and maintain reporting tools, dashboards, and automated data pipelines in Power BI, SQL, and Excel that serve both recurring reporting needs and ad hoc analytical requests
  • Proactively surface trends, anomalies, and business opportunities through data analysis, and bring findings to finance and executive leadership with clear recommendations
  • Define, validate, and document data requirements and quality standards for finance data sources
  • Serve as a technical resource and mentor within the Finance analytics team

About you
Minimum Qualifications
  • Bachelor's degree or equivalent experience in a scientific discipline, mathematics, applied statistics, information technology, or a related field
  • 4+ years of experience in data analysis, financial analysis, or a closely related discipline, with demonstrated impact on business decisions
  • Advanced SQL proficiency; experience building and maintaining complex queries against enterprise data warehouses
  • Strong working knowledge of Power BI or comparable BI platforms, with experience developing production-grade dashboards and reports
  • Advanced Excel skills, including financial modeling, scenario analysis, and large dataset handling
  • Experience with Python, R, or comparable scripting tools for data manipulation and analysis
  • Demonstrated ability to communicate analytical findings clearly to senior, non-technical stakeholders - including written narrative, verbal presentation, and data visualization
  • Experience producing forecasts or performance analysis consumed by C-suite or senior executive audiences
  • Experience in financial reporting, revenue analysis, forecasting, P&L construction, or a comparably rigorous quantitative discipline
  • Strong judgment in balancing speed and accuracy when operating under reporting deadlines

Preferred Qualifications
  • Experience working with or transitioning data to cloud platforms such as Snowflake, Azure, or similar
  • Familiarity with mortgage banking, consumer lending, or financial services data and business models
  • Experience designing or contributing to data warehouse schemas for finance or accounting use cases
  • Exposure to capital markets, fixed income, or loan-level financial analysis
  • Experience with AI-assisted tooling or workflow automation in an analytical or finance context
  • Experience supporting earnings preparation or working alongside an Investor Relations function
  • Experience mentoring analysts or contributing to team standards and documentation

What you'll get
Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks.
About us
Rocket is a Detroit-based company made up of businesses that provide simple, fast and trusted digital solutions for complex transactions. The name comes from our flagship business, now known as Rocket Mortgage®, which was founded in 1985. Today, we're a publicly traded company involved in many different industries, including mortgages, fintech, real estate and more. We're insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals.
This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, at Careers@Rocket.com.
The compensation information below is provided in compliance with all applicable job posting disclosure requirements. The compensation for this position is $80,000.00-$183,000.00. The position may also be eligible for an annual bonus, incentives, and other employment-related benefits including, but not limited to, medical, dental, and vision benefits, 401K retirement plan, and paid-time off. More information regarding these benefits and others can be found here. The information regarding compensation and other benefits included in this paragraph is the company's current, good faith estimate at the time of posting. [Compensation and benefits are subject to modification from time to time as the Company, in its sole and exclusive discretion, deems appropriate.] The Company may determine during its future reviews of the proposed compensation and benefits provided for this position, that the compensation and benefits for such position should be reduced. In no event will the Company reduce the compensation for the position to a level below the applicable jurisdictional minimum wage rate for the position. Los Angeles County and San Francisco Candidates only: qualified applicants with arrest or conviction records will be considered for employment per the Fair Chance Ordinance and the Fair Chance Initiative for Hiring.

Apply