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Remote Python Data Analysis Jobs in Cottage Grove, MN

Compeer Financial

Intern Data Analytics

Lakeville, MN · On-site +1

$20 - $21/hr

... financial analysis strongly preferred. * Proficiency in using PowerBI, Python, R, Microsoft Excel, AI tools, or other data analytics tools. * Proven ability to work collaboratively in a team ...

Workiva

Spring 2027 Intern - Data Analytics

Plymouth, MN · On-site +1

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... This internship is primarily a remote opportunity. However, if you are located near one of our ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Experience with Python or R for advanced analytics integration * Familiarity with Git/Azure DevOps ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Experience with Python or R for advanced analytics integration * Familiarity with Git/Azure DevOps ...

legence

Power BI Data Engineer

Minneapolis, MN · On-site +1

$119K - $143K/yr

This position is remote with preference to align to one of Legence' s office locations. Key ... Experience with Python or R for advanced analytics integration * Familiarity with Git/Azure DevOps ...

Dlapiper

Data Scientist

Minneapolis, MN · On-site +1

Performs custom analysis. Uses modelling to drive business results with data-based insights and ... Python, R, SQL, SAS, NLTK, Scikit-Learn, Excel, Tableau, Power BI, and Jupyter; Basic data science ...

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

As of Sep 9, 2026, the average hourly pay for remote python data analysis in Cottage Grove, MN is $61.10, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $69.38 per hour, depending on experience, location, and employer.

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Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Minneapolis, MN • Remote

Resource Point LLC
IT Services • 51 - 200 employees
Learn more about Resource Point LLCexternal

Contractor

Re-posted 17 days ago

Job description

Job Title: Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

Location: Minneapolis, MN

Duration: 12+ Months

Description:
Our audit and governance functions require a centralized data leader who can:

  • Architect scalable, secure, compliant data pipelines
  • Translate complex datasets into actionable insights for regulatory and operational decisions
  • Build intuitive, low-maintenance tools that empower non-technical users across the PA experience

Responsibilities:

  • Data Collection & Cleaning - They gather data from various sources and clean it to ensure it's usable—removing errors, filling in missing values, and standardizing formats.
  • Exploratory Data Analysis (EDA) - They explore the data to understand patterns, trends, and relationships using statistical techniques and visualizations.
  • Model Building - They build predictive models using machine learning algorithms to forecast outcomes or classify data.
  • Interpretation & Communication - They translate complex results into actionable insights and communicate them to stakeholders through reports, dashboards, or presentations.
  • Deployment & Monitoring - In some cases, they help deploy models into production systems and monitor their performance over time.

Ideal Background: 

  • Healthcare specific background would be helpful.
  • But candidate must be experienced in elements of statistics, computer science, and domain expertise to help organizations make data-driven decisions.
  • As well as, build and maintain artificial intelligence (AI) driven platforms/solutions.

Required Skills:

  • Programming: Python, R, SQL
  • Statistics & Mathematics
  • Machine Learning & AI
  • Data Visualization: Tools like Tableau, Power BI, or libraries like Matplotlib and Seaborn
  • Big Data Tools: Spark, Hadoop (for large-scale data)

Preferred:

  • Advanced SQL and Python for analytics, ETL, and automation
  • Data modeling, warehousing, and pipeline orchestration (cloud, native stack)
  • Dashboarding (Power BI; Streamlit or similar) and reproducible analytics (versioning, CI/CD preferred)
  • Healthcare data familiarity (claims, PA & appeals, pharmacy) and regulatory contexts (CMS, NCQA, URAC, ERISA, state rules)
  • Data security, privacy, and compliance best practices.