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Weekend Python Data Analyst Jobs in Saint Paul, MN

Data Solutions Analyst

Minneapolis, MN · On-site

$75K - $80K/yr

This Deluxe Data Solutions Analyst position is the technical resource that works between our ... Experience in R, python or other big data tools and languages * Experience in SQL, Visual Studio ...

Working knowledge of analytics and statistical software such as R, Python, SAS, SPSS, or similar tools * Working knowledge of ETL processes and tools such as Alteryx, Airflow, Azure Data Factory, or ...

Working knowledge of analytics and statistical software such as R, Python, SAS, SPSS, or similar tools * Working knowledge of ETL processes and tools such as Alteryx, Airflow, Azure Data Factory, or ...

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Weekend Python Data Analyst information

See Saint Paul, MN salary details

$34.4K

$83.6K

$137.5K

How much do weekend python data analyst jobs pay per year?

As of Jun 28, 2026, the average yearly pay for weekend python data analyst in Saint Paul, MN is $83,581.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

What are the key skills and qualifications needed to thrive as a Weekend Python Data Analyst, and why are they important?

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

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

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

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:
Value Based Care Data Analyst

Value Based Care Data Analyst

HealthPartners

Bloomington, MN • On-site

$50.32 - $75.48/hr

Full-time

Medical, Retirement

Posted 26 days ago


HealthPartners rating

7.7

Company rating: 7.7 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

159th of 877 rated healthcare providers


Job description


HealthPartners is hiring a Value Based Care Data Analyst. Our mission is to provide simple and affordable healthcare. HealthPartners teams use data to improve patient and member experience, improve health, and reduce the per capita cost of health care. HealthPartners data analysts are responsible for driving adoption and use of data and analytic services and products. Data analysts work in collaborative scrum teams with developers, data scientists, and data engineers, and may share accountabilities in order to achieve sprint goals. They maintain a working knowledge of a business domain and its associated data, and provide visualization, analysis, validation, and consultation services. Together with their teams, they work on building scalable solutions to extract knowledge from data, and deliver that knowledge as needed and at scale.
ACCOUNTABILITIES:
• 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 act 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
• Promotes and champions our security and de-identification standards, while they handle sensitive administrative data (medical and pharmacy claims, clinical data, and other sensitive organizational data assets).
REQUIRED SKILLS/ QUALIFICATIONS:
• Candidates must have a degree in economics, mathematics, business, computer science, data or social science, operations research, statistics, or a related quantitative field. Alternate experience and education in equivalent areas is acceptable. Experience in more than one area is strongly preferred.
• Four years direct experience using technical and analytical skills to extract, integrate, layout and interpret complex and disparate data sources
• Demonstrated experience using data visualization tools such as Microsoft Power BI, Tableau, etc.
• Demonstrated ability to tell stories using data
• Solid working experience with SQL and relational database design
• Programming skills using Python, R, etc. ("or similar")
• 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 care operations
• Exposure to agile/scrum (including tools like JIRA)
• Experience using Azure Data Lake, DevOps, Power Automate, or other tools in the Azure Suite
• Working knowledge of medical terminology, medical coding systems; ICD-10, CPT4, DRG, GPI.
• Familiarity with software development, data and integration architecture
About Us
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 HealthAs 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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