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Freelance Python Data Analysis Jobs in Madison, WI

Data Analysis (40%) * Conduct exploratory data analysis to identify trends, patterns, and ... Basic knowledge of programming languages (i.e., Python) and querying languages (i.e., SQL)

New

Data Analysis (40%) * Conduct exploratory data analysis to identify trends, patterns, and ... Basic knowledge of programming languages (i.e., Python) and querying languages (i.e., SQL)

New

Data Analyst

Madison, WI · On-site

  • Medical

  • Dental

  • Life

  • Retirement

Experience with SQL and/or Python for data analysis, including implementation of Meridian * Familiarity with CRM data integration and customer journey analysis. COMPENSATION & BENEFITS: Competitive ...

Data Analyst

Madison, WI · On-site

  • Medical

  • Dental

  • Life

  • Retirement

Experience with SQL and/or Python for data analysis, including implementation of Meridian * Familiarity with CRM data integration and customer journey analysis. COMPENSATION & BENEFITS: Competitive ...

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash / Resource Manager / Innovizant LLC Phone : 630-685 ...

Extremely efficient in Python and R. Extremely efficient in identifying right analytics model ... MS in AI/Data Science would also be a plus. Qualifications Data Science, Analysis, Python, R ...

They will be responsible for the data profiling, analysis and documentation of data quality. The ... Qualification - Experience Data Profiling - 5+ years Python - 3 years Database design concepts - 5+ ...

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Freelance Python Data Analysis information

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

As of Aug 16, 2026, the average hourly pay for freelance python data analysis in Madison, WI is $59.07, according to ZipRecruiter salary data. Most workers in this role earn between $48.70 and $67.12 per hour, depending on experience, location, and employer.

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 freelance jobs can I do with Python?

Freelance Python data analysts can find jobs in data cleaning, visualization, statistical analysis, and machine learning projects. They often work with tools like Pandas, NumPy, and Jupyter Notebooks, and may need to have skills in SQL and data storytelling. These roles typically require strong programming skills and the ability to interpret complex data for clients.

What are the most commonly searched types of Python Data Analysis jobs in Madison, WI?

The most popular types of Python Data Analysis jobs in Madison, WI are:

What are popular job titles related to Freelance Python Data Analysis jobs in Madison, WI?

For Freelance Python Data Analysis jobs in Madison, WI, the most frequently searched job titles are:

What job categories do people searching Freelance Python Data Analysis jobs in Madison, WI look for?

The top searched job categories for Freelance Python Data Analysis jobs in Madison, WI are:

What cities near Madison, WI are hiring for Freelance Python Data Analysis jobs?

Cities near Madison, WI with the most Freelance Python Data Analysis job openings:

Infographic showing various Freelance Python Data Analysis job openings in Madison, WI as of June 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $122,863 per year, or $59.1 per hour.

Full-time

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Job description

Bankers' Bank is a fast-growing financial institution with over 1.5 billion in assets committed to assisting community banks with their payment and financial service needs and 45 years of dedication to our community bank partners. In addition to specializing in providing correspondent banking products and services to community banks we also provide bank holding company loans, commercial loans, leasing, secondary mortgage products, cash letter/cash management, investment trading, safekeeping and portfolio accounting, correspondent credit services, international services, bank card products, and risk management solutions. Bankers' Bank has offices in Madison, WI, Des Moines, IA, Chicago, IL, Indianapolis, IN and Dublin, OH.

Bankers' Bank is seeking a Data Analyst to join our Madison, WI team. This role is responsible for advancing the Bank's data-driven capabilities by translating centralized data into actionable business insights. The role supports Product Owners and Business Leadership to develop innovative data solutions, perform exploratory analysis, and validate business assumptions.

Data Analysis (40%)

  • Conduct exploratory data analysis to identify trends, patterns, and segmentation opportunities across customers, products, and markets
  • Translate business questions into data-driven analysis and actionable insights
  • Collaborate with business units to understand project objectives and deliver analytical solutions
  • Act as a liaison between Technology & Analytics team and business stakeholders to maintain project alignment and deadlines
  • Validate assumptions and support decision-making through data

Data Enablement & Accessibility (30%)

  • Support internal stakeholders and users within the organization to access, interpret, and utilize data tools
  • Improve the accessibility, usability, and consistency of data tools and reporting solutions
  • Develop reports, dashboards, and other analytical tools to support business needs
  • Support training and education efforts to improve data literacy within the organization
  • Lead implementation and adoption of analytical tools and best practices

Data Governance & Quality (20%)

  • Establish and maintain data structures, quality standards, and governance practices
  • Identify data quality issues and partner with stakeholders to troubleshoot and implement improvements
  • Promote consistent use of well-managed, reliable data sources across business units

Advanced Analytics Support (10%)

  • Contribute to foundation work that supports the expansion of data science and machine learning initiatives
  • Assist in developing analytical approaches and preparing data for more advanced modeling initiatives

Ideal candidates will possess a bachelor's degree in data analytics, business, finance, statistics, computer science, or other relation field/ equivalent combination of education and experience sufficient to perform the functions of the job. Two to four years of experience in data analysis, business intelligence, analytics, or a related role. Experience working with data tools, reporting platforms, and dashboards (i.e., Zoho, Tableau, PowerBI, Domo, QuickSight, etc.). Basic knowledge of programming languages (i.e., Python) and querying languages (i.e., SQL). Familiarity with data structures, data governance, and data quality concepts. Understanding of Dataiku or other related data science/ETL tools. Ability to work a flexible schedule with off-hours/on-call support as required. Preferred qualifications include experience within the banking or financial services industry and data analytics/business intelligence certiciations (i.e., Google Data Analytics Professional, Microsoft Certified Power BI Data Analyst, CompTIA Data+, etc.).