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Remote Python Data Analysis Jobs in Cottage Grove, MN

Milliman

Data Engineer (MedInsight)

Eden Prairie, MN · On-site +1

$93K - $177K/yr

Analyze and improve data intake processes and optimize SparkSQL/Python workloads for performance ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

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$61

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

As of Jun 18, 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.
What job categories do people searching Remote Python Data Analysis jobs in Cottage Grove, MN look for? The top searched job categories for Remote Python Data Analysis jobs in Cottage Grove, MN are:
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Data Scientist (AI, Big Data, SQL, Python) - W2 Only - REMOTE

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

Resource Point LLC

Minneapolis, MN • Remote

Contractor

Posted 25 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.