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Freelance Python Data Analyst Jobs in Saint Paul, MN

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

You will collaborate closely with Product Management, Ads Engineering, Analytics, Data Science, and ... Develop Python data components (operators, hooks, transforms), packaging and CI/CD for deployment ...

Data Engineer

Minneapolis, MN · Hybrid

$50 - $55/hr

You will collaborate closely with Product Management, Ads Engineering, Analytics, Data Science, and ... Python (5+ years) * Big Data (warehousing/processing concepts, performance)(5+ years) * Postgres ...

Showing results 21-40

Freelance Python Data Analyst information

See Saint Paul, MN salary details

$13

$33

$62

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

As of Aug 11, 2026, the average hourly pay for freelance python data analyst in Saint Paul, MN is $33.30, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $37.21 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 Saint Paul, MN? The most popular types of Python Data Analyst jobs in Saint Paul, MN are:
What are popular job titles related to Freelance Python Data Analyst jobs in Saint Paul, MN? For Freelance Python Data Analyst jobs in Saint Paul, MN, the most frequently searched job titles are:
What job categories do people searching Freelance Python Data Analyst jobs in Saint Paul, MN look for? The top searched job categories for Freelance Python Data Analyst jobs in Saint Paul, MN are:
What cities near Saint Paul, MN are hiring for Freelance Python Data Analyst jobs? Cities near Saint Paul, MN with the most Freelance Python Data Analyst job openings:

Value Based Care Data Analyst

HealthPartners

Bloomington, MN

Full-time

Medical, Retirement

Re-posted 10 days ago


HealthPartners rating

7.5

Company rating: 7.5 out of 10

Based on 134 frontline employees who took The Breakroom Quiz

234th of 887 rated healthcare providers


Job description

HealthPartners is hiring a Value Based Care Data Analyst. We are currently filling multiple positions within our growing Value Based Care analytics team, offering opportunities to make a meaningful impact on improving health outcomes and affordability. The Value Based Care Data Analyst leverages data to improve patient and member experiences, enhance health outcomes, and help reduce the overall cost of care.

As members of collaborative Agile teams, Value Based Care Data Analysts partner closely with data engineers, developers, data scientists, and business stakeholders to deliver impactful analytics solutions. They are responsible for analyzing and validating data, developing meaningful visualizations, and translating complex information into clear, actionable recommendations that support value-based care initiatives.

These individuals develop a deep understanding of their business domains and the data that drives them, serving as trusted partners and consultants across the organization. Working alongside scrum teams, they contribute to the design and delivery of scalable data products and analytics solutions that empower informed decision-making and create measurable value for members, patients, and care teams.

HealthPartners is hiring for multiple Value-Based Care Data Analyst opportunities. While all roles are focused on improving healthcare quality, outcomes, and affordability through data-driven insights, each position offers a unique area of focus and the opportunity to make a meaningful impact across our organization. Explore the specific focus areas below.

Value-Based Care:

The Value-Based Care team partners with the Health Plan Finance Product Team, Provider Relations, Diagnosis Accuracy Team, Quality, and Purchaser Solutions Team to deliver measurement, analytics, and reporting that support provider risk arrangements and incentive programs. By providing trusted actionable insights into quality, cost, and performance, the team helps drive better outcomes, greater affordability, and improved care for our members and patients.

Reporting to a Senior Manager of Health Informatics, this role is part of a multidisciplinary team of ten analysts, consultants, and engineers.

Quality Measurement and Analytics:

The Value-Based Care Data Analyst helps HealthPartners use data to improve the quality of care our members receive and ensure we meet important healthcare quality standards. This role analyzes complex healthcare data and turns it into meaningful insights that help improve member outcomes, support providers, and guide key business decisions. The team also works to bring together data from multiple sources and modernize how healthcare information is managed and reported.

The work of this role directly influences healthcare quality, the member experience, regulatory performance, and organizational growth. By helping HealthPartners measure and improve performance, the Value-Based Care Data Analyst plays an important part in delivering high-quality, affordable care to the communities we serve.

Reporting to a Senior Manager of Health Informatics, this role is part of a multidisciplinary team of fourteen analysts, consultants, engineers, and specialists.

Required Qualifications:

  • Bachelor's degree in economics, mathematics, business, computer science, data science, social science, operations research, statistics, or a related quantitative field. Equivalent combinations of education and experience will also be considered. Candidates with experience spanning multiple disciplines are strongly encouraged to apply.
  • Six (6) years of experience applying technical and analytical skills to extract, integrate, analyze, and interpret complex data from multiple sources, translating data into meaningful insights that support business decision-making.
  • Demonstrated experience developing dashboards, visualizations, and actionable insights using Microsoft Power BI, with experience in Tableau or other data visualization tools also valued.
  • Demonstrated ability to tell stories using data.  
  • Solid working experience with SQL and relational database design.
  • Programming skills using Python, R, SAS, etc. ("or similar").
  • Working knowledge of medical terminology, medical coding systems; ICD-10, CPT4, DRG, GPI.
  • Demonstrated experience presenting findings and actionable recommendations.
  • Must be motivated, self-driven, curious, and creative.
  • Ability to communicate and demonstrate an ability to work with development teams, end users, and business partners.
  • Demonstrated ability to support and complement the work of a diverse development and / or operations team.

Preferred Qualifications:

  • Knowledge of health insurance operations including billing, payment, contracting, regulations, provider networks is strongly preferred.
  • Demonstrated use of advanced statistical techniques (risk scoring, predictive modeling))
  • Exposure to agile/scrum (including tools like JIRA)
  • Experience using Azure Data Lake, Databricks, DevOps, Power Automate
  • Experience with HEDIS and STARS quality measurement

Hours/Location:

  • M-F; core business hours
  • This is a primarily remote position with occasional onsite presence required for meetings or workgroup sessions. 

Compensation Range:

  • These positions are available at an intermediate, senior, or principal level, depending on qualifications.
    • Intermediate Analyst: $36.37 - $54.55 hourly
    • Senior Analyst: $44.72 - $67.08 hourly
    • Principal Analyst: $50.32 - $75.48 hourly
      • Compensation is based on the level and requirements of the role. Pay within our ranges may also be determined by education, experience, knowledge, skills, location, and abilities as well as internal equity. Hired candidates may be eligible to receive additional compensation based on role (e.g., shift differential, bonus, sales incentive, productivity pay, etc.).

Responsibilities:

  • All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning.
  • Partners with domain experts, business groups, and data engineers to frame problems, model, clean and integrate data, and determine the best way to leverage that data in service of a goal.
  • Works with business partners to understand and create their "user stories;" they support opportunities to leverage data analytics in service of customer or business value.
  • Creates, deploys, monitors, and maintains highly interactive data visualizations.
  • Participates in strategic measurement activities, including Return on Investment (ROI) analyses, Key Performance Indicator (KPI) development, risk assessment, and indexing, as well as domain-specific measurements (example: readmission rates)
  • Works with their teams to ensure data accessibility, accuracy, and quality, and may function as data stewards by contributing to management of central data stores and metadata.
  • May provide consultative, data-driven support on product and business strategy development.
  • Sets up and executes test cases to validate that analytic and software solutions meet the business acceptance criteria.
  • Communicates solution tradeoffs to business partners to frame and influence project decisions.
  • Leverages internal and external sources to validate data accuracy and benchmark results.
  • Promote and champion HealthPartners' security and de-identification standards, while they manage sensitive administrative data (medical and pharmacy claims, clinical data, and other sensitive organizational data assets).

At HealthPartners we believe in the power of good - good deeds and good people working together. As part of our team, you'll find an inclusive environment that encourages new ways of thinking, celebrates differences, and recognizes hard work.

We're a nonprofit, integrated health care organization, providing health insurance in six states and high-quality care at more than 90 locations, including hospitals and clinics in Minnesota and Wisconsin. We bring together research and education through HealthPartners Institute, training medical professionals across the region and conducting innovative research that improve lives around the world.

At HealthPartners, everyone is welcome, included and valued. We're working together to increase diversity and inclusion in our workplace, advance health equity in care and coverage, and partner with the community as advocates for change.

Benefits Designed to Support Your Total Health
As a HealthPartners colleague, we're committed to nurturing your diverse talents, valuing your dedication, and supporting your work-life balance. We offer a comprehensive range of benefits to support every aspect of your life, including health, time off, retirement planning, and continuous learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and financially, so you can continue delivering exceptional care.

Join us in our mission to improve the health and well-being of our patients, members, and communities.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identify, status as a veteran and basis of disability or any other federal, state or local protected class.


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