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Remote Python Analyst Jobs in Milwaukee, WI (NOW HIRING)

Sales Intelligence Analyst

Milwaukee, WI ยท Remote

$73K - $98K/yr

Experience using Python for data manipulation or automation. * Experience building self-service ... Visit hisLinkedIn ( page to connect! #LI-Remote #LI-DK1 Additional Details Additional Details:

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

This is a remote-first role with occasional (~1x month) travel. Responsibilities and Duties ... g., Python, Power BI, Tableau, SQL) * Bonus: Experience or interest in healthcare Benefits

Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R, Spark, SQL, GCP, etc.) * Strong problem-solving skills with an emphasis on product development

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Remote Python Analyst information

See Milwaukee, WI salary details

$33.5K

$81.4K

$134K

How much do remote python analyst jobs pay per year?

As of Jun 2, 2026, the average yearly pay for remote python analyst in Milwaukee, WI is $81,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $95,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Remote Python Analyst, you need strong programming skills in Python, experience with data analysis, and typically a degree in computer science, statistics, or a related field. Familiarity with technical tools such as Jupyter Notebooks, pandas, NumPy, SQL databases, and data visualization libraries, as well as version control systems like Git, is essential. Excellent problem-solving abilities, self-motivation, and clear communication skills help you excel in a remote environment and effectively collaborate with teams. These skills and qualities enable accurate data-driven insights and ensure productivity while working independently from any location.

How does a Remote Python Analyst typically collaborate with team members across different time zones?

As a Remote Python Analyst, effective collaboration often involves using communication tools such as Slack, Zoom, and project management platforms to stay connected with team members in various locations. You'll likely participate in regular virtual meetings, share code through platforms like GitHub, and provide asynchronous updates to accommodate different time zones. Flexibility and proactive communication are essential for ensuring projects stay on track and that everyone is aligned, despite not working in the same physical space.

What is a Remote Python Analyst?

A Remote Python Analyst is a professional who works primarily with the Python programming language to analyze data, automate processes, and develop software solutions, all while working from a remote location. Their responsibilities often include data analysis, scripting, building data pipelines, and creating reports or dashboards. They collaborate with teams virtually and can work for companies in various industries such as finance, healthcare, technology, or consulting. The remote aspect allows for flexibility in work location and often requires strong communication and self-management skills.

What is the difference between Remote Python Analyst vs Data Analyst?

AspectRemote Python AnalystData Analyst
Required SkillsPython programming, data analysis, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data analysis coursesExcel, SQL certifications, Tableau
Work EnvironmentRemote, tech-focused companiesRemote or on-site, various industries
Industry UsageTech, finance, healthcareBusiness, marketing, finance

Remote Python Analysts focus on coding and scripting with Python to analyze data, often in tech-driven industries. Data Analysts use a broader set of tools like Excel and SQL for data interpretation across diverse sectors. While both roles involve data analysis, the Python Analyst emphasizes programming skills, making it ideal for those with coding expertise seeking remote opportunities in specialized fields.

What are popular job titles related to Remote Python Analyst jobs in Milwaukee, WI? For Remote Python Analyst jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Remote Python Analyst jobs in Milwaukee, WI look for? The top searched job categories for Remote Python Analyst jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Remote Python Analyst jobs? Cities near Milwaukee, WI with the most Remote Python Analyst job openings:

Python Software Engineer (Remote)

Tartan Solutions

Milwaukee, WI โ€ข On-site, Remote

Full-time

Posted 3 days ago


Job description

Python is the core language at PlaidCloud. We are looking for experienced Python Software Engineers who will help us create products and services that help our customers analyze information in new and powerful ways.
Ideal Qualifications
  • 3+ years of Python development or similar experience in another object oriented language such as Go, Java, or Ruby (Python preferred)
  • Understanding of SQL databases and familiarity with database operations (Postgres or Greenplum preferred)
  • Understanding of web frameworks and web server technologies
  • Demonstrated ability to troubleshoot technical issues
  • Strong Python development skills
  • Strong understanding of testing processes
  • Strong written communications skills

Bonus Qualifications
  • Experience with Postgres or Greenplum databases
  • Experience in building and maintaining enterprise level web services
  • Experience in building and maintaining highly scalable asynchronous computing workloads using message queues
  • Experience in building or maintaining JSON-RPC APIs
  • Experience with RabbitMQ
  • Experience with Kubernetes
  • Experience with SQLAlchemy
  • Experience with JupyterLab
  • Experience with Apache Superset
  • Experience with GitOps processes for managing deployments with Kubernetes
  • Experience working on large scale data analytics
  • Experience with Git