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Financial Analyst Python Freelance Jobs in Minnesota

Collect, analyze, and interpret healthcare data. * Develop dashboards, reports, and visualizations ... with Python, C++, Visual Basic or similar languages. * Familiarity with actuarial or financial ...

... finance, Computer science, math, physics, or other appropriate fields * 3+ years' experience performing analytical analysis or development of models * Ability to program in python * Some fluency with ...

Healthcare Analyst II

Minnetonka, MN · On-site

$62K - $107K/yr

Collect, analyze, and interpret healthcare data. * Develop dashboards, reports, and visualizations ... with Python, C++, Visual Basic or similar languages. * Familiarity with actuarial or financial ...

... finance, franchise operations, supply chain, loyalty, and customer data. This role is ideal for ... Experience with: o PySpark o Python o Databricks Workflows o Unity Catalog o Delta Live Tables o ...

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Financial Analyst Python Freelance information

What does a financial analyst python freelancer do?

A Financial Analyst Python Freelancer combines financial expertise with programming skills in Python to analyze data, build financial models, and automate reporting tasks. They are typically hired on a contract basis to help businesses interpret complex financial information, create custom analysis tools, and improve decision-making processes. Their work can include tasks such as data cleaning, statistical analysis, and developing algorithms for forecasting or risk assessment. Freelancers in this role often work remotely and may serve multiple clients in various industries.

What are the key skills and qualifications needed to thrive as a financial analyst python freelancer?

To excel as a Financial Analyst Python Freelance, you need strong analytical skills, a solid understanding of finance and accounting principles, and proficiency in Python programming, often supported by a relevant degree or certification. Familiarity with data analysis libraries (like Pandas and NumPy), financial modeling tools, and platforms such as Excel or Tableau is typically required. Excellent communication, problem-solving, and time management skills help freelancers effectively manage projects and convey insights to clients. These combined skills enable efficient, accurate financial analysis and deliver actionable recommendations in a competitive freelance environment.

How do financial analyst python freelancers typically collaborate with clients and teams during projects?

As a Financial Analyst Python Freelancer, collaboration often happens through virtual meetings, regular progress updates, and shared documentation platforms. You may work with finance teams, data engineers, and project managers to clarify requirements, align on deliverables, and troubleshoot data or modeling issues. Clear communication is key, as you'll often need to explain your analytical methods and Python code to non-technical stakeholders. Many freelancers also use collaborative tools like Slack, Trello, or GitHub to streamline workflow and version control.

Can I do freelancing jobs as a financial analyst?

Yes, financial analysts can work as freelancers by offering services such as financial modeling, data analysis, and reporting on freelance platforms. Success often depends on skills in Excel, financial software, and certifications like CFA or CPA, along with the ability to manage client projects independently.

Is Python good for financial analysis?

Python is widely used by financial analysts for data analysis, modeling, and automation due to its extensive libraries like pandas, NumPy, and scikit-learn. It enables efficient processing of large datasets and development of quantitative models, making it a valuable skill for freelance financial analysts. Proficiency in Python can enhance analysis accuracy and productivity in financial roles.

What freelance jobs can I do with Python as a financial analyst?

As a financial analyst with Python skills, you can undertake freelance jobs such as developing financial models, automating data analysis, creating dashboards, and building algorithms for trading or risk assessment. These roles often require proficiency in libraries like pandas, NumPy, and visualization tools, and may involve working with large datasets or integrating APIs.

What are the most commonly searched types of Financial Analyst Python jobs in Minnesota?

The most popular types of Financial Analyst Python jobs in Minnesota are:

What job categories do people searching Financial Analyst Python Freelance jobs in Minnesota look for?

The top searched job categories for Financial Analyst Python Freelance jobs in Minnesota are:

Healthcare Analyst II

Imedica

Minnetonka, MN

$62K - $107K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Job description

Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for.

We're a team that owns our work with accountability, makes data-driven decisions, embraces continuous learning, and celebrates collaboration — because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm and every member feels valued.

Evaluate and assess medical data to identify trends and opportunities. Determine requirements, create standards and/or define metrics to ensure complete and accurate reporting. Provide insight and recommendations using quantitative analysis and/or statistical analysis coupled with explanatory and predictive modeling to drive focused decision making. Performs other duties as assigned.  

Key Accountabilities

  • Collect, analyze, and interpret healthcare data.
  • Develop dashboards, reports, and visualizations.
  • Perform cost, utilization, trend, and forecasting analyses to support strategic initiatives.
  • Assist in evaluating program performance, interventions, and value-based initiatives.
  • Ensure data accuracy, integrity, and proper documentation across analytical deliverables.

Required Qualifications

  • Bachelor's degree or equivalent experience in related field
  • 3+ years of work experience beyond degree

Preferred Qualifications

  • Intermediate level Excel and SQL skills, and experience with Python, C++, Visual Basic or similar languages. 
  • Familiarity with actuarial or financial modeling concepts.
  • Exposure to population health, care management, or clinical program evaluation.
  • Experience working in health plans, provider groups, or value-based care environments. 

This position is an Office role, which requires an employee to work onsite at our Minnetonka, MN office, on average, 3 days per week.

The full salary grade for this position is $62,700 - $107,500. While the full salary grade is provided, the typical hiring salary range for this role is expected to be between $62,700 - $94,080. Annual salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and/or licensure, the position's scope and responsibility, internal pay equity and external market salary data. In addition to compensation, Medica offers a generous total rewards package that includes competitive medical, dental, vision, PTO, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees.

The compensation and benefits information is provided as of the date of this posting. Medica’s compensation and benefits are subject to change at any time, with or without notice, subject to applicable law.

Eligibility to work in the US: Medica does not offer work visa sponsorship for this role. All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States.

We are an Equal Opportunity employer, where all qualified candidates receive consideration for employment indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.