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Part Time Python Data Analysis Jobs in Wisconsin

Civil Engineer in Training

Mequon, WI · On-site

$55K - $63K/yr

Perform data analysis and calculations to analyze and design civil system components. * Collect ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Civil Engineer in Training

Milwaukee, WI · On-site

$59K - $69K/yr

Perform data analysis and calculations to analyze and design civil system components. * Collect ... Regular full-time and part-time employees (working at least 20 hours per week) have access to ...

Academic Engagement Partner

Madison, WI · On-site

$22.51 - $26.30/hr

This is a part-time position working 20 hours per week for 42 weeks per year. Flexible schedule ... data analysis for continuous improvement. * Expands the reach and impact of academic support ...

Sr Engineering Business Analyst

Wauwatosa, WI · On-site

$87K - $113K/yr

Harley-Davidson Motor Company Full or Part-Time: Full Time Shift: SHIFT1 At Harley-Davidson, we are ... Strong attention to detail and data accuracy * Ability to lead cross-functional teams without ...

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Part Time Python Data Analysis information

What is a part-time Python data analyst?

A part-time Python data analyst is a professional who uses Python programming to analyze, interpret, and visualize data, but works fewer hours than a full-time employee. They help organizations make data-driven decisions by cleaning data, running statistical analyses, and creating reports or dashboards, typically on a flexible or reduced schedule. This role is ideal for those seeking work-life balance or looking to supplement their income while utilizing their data analysis skills.

How do part-time Python data analysts typically collaborate with full-time team members to ensure project continuity?

Part-time Python data analysts frequently work alongside full-time data teams by attending regular meetings, using shared project management tools, and maintaining thorough documentation of their work. This collaboration ensures that progress is transparent and that handoffs between analysts are smooth, minimizing disruptions. Communication platforms like Slack or Microsoft Teams are often utilized to keep everyone aligned, and version control systems such as Git help track changes in code and data analyses. Being proactive about updates and asking clarifying questions also helps part-time analysts integrate effectively with the team.

What is the difference between Part Time Python Data Analysis vs Part Time Data Scientist?

AspectPart Time Python Data AnalysisPart Time Data Scientist
Required CredentialsBasic Python, SQL, Excel skillsAdvanced Python, machine learning, statistics
Work EnvironmentData analysis projects, reportingModel development, predictive analytics
Industry UsageBusiness reporting, market researchProduct development, AI applications

Part Time Python Data Analysis typically involves handling data, creating reports, and basic analysis using Python and related tools. In contrast, Part Time Data Scientists work on developing models, applying machine learning, and performing advanced statistical analysis. While both roles require Python skills, Data Scientists usually have more specialized knowledge and work on more complex projects. The choice depends on your skill level and career goals within data roles.

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

To thrive as a Part Time Python Data Analyst, you need strong analytical skills, proficiency in Python, and a solid understanding of statistics or data science fundamentals, often supported by relevant coursework or a degree. Familiarity with tools like pandas, NumPy, Jupyter notebooks, and basic SQL, as well as experience with data visualization libraries such as matplotlib or seaborn, is typically required. Attention to detail, problem-solving ability, and effective communication help you convey insights and collaborate with team members. These skills are crucial for extracting meaningful information from data and supporting informed decision-making in a flexible, part-time capacity.
What are the most commonly searched types of Python Data Analysis jobs in Wisconsin? The most popular types of Python Data Analysis jobs in Wisconsin are:
What are popular job titles related to Part Time Python Data Analysis jobs in Wisconsin? For Part Time Python Data Analysis jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Part Time Python Data Analysis jobs in Wisconsin look for? The top searched job categories for Part Time Python Data Analysis jobs in Wisconsin are:
What cities in Wisconsin are hiring for Part Time Python Data Analysis jobs? Cities in Wisconsin with the most Part Time Python Data Analysis job openings:

Associate Degree Nursing Instructor (part-time/adjunct) @ Northwood Tech Superior Campus

Northwood Technical College

Superior, WI

$44/hr

Part-time

Posted 3 days ago


Job description

Northwood Technical College is seeking applications from qualified candidates for a part-time Associate Degree Nursing Instructor at the Superior Campus.

Northwood Tech Instructors teach in a discipline area in which they have specific training and competence. Instructors are expected to foster learner success, assess learner achievement, and continually improve learning opportunities. Instructors teach in a variety of learning environments including face-to-face, online, web-conferencing, and hybrid classrooms. Instructors are expected to continually improve the overall quality and delivery of learning, including the support of program and collegewide initiatives. This position may require travel to another Northwood Tech campus for instruction and travel to the Shell Lake Health Education Center (HEC). With program modification, this position may teach some evenings and Saturday’s.


  • Actively embody and promote Northwood Tech’s Values:
    • Collaboration – Value relationships that enhance learning and promote economic development.
    • Innovation - Embrace the latest theories and technologies to support student and community success.
    • Excellence – Prioritize high quality education, services, and continuous improvement in a dynamic learning environment.
    • Community – Value our deep connections to our communities by working together to provide solutions through student success.
    • Support – Empower individuals by supporting their success with quality experiences and services designed to meet their needs.
    • Integrity – Uphold honesty and accountability in a diverse, open, and ethical learning and working environment.
    • Respect – Value each individual and approach all interactions mindfully, with civility, empathy, and openness to new and differing ideas.
  • Develop and continually revise curriculum that includes Employability Essentials and technical content to meet industry and/or regulatory standards.
  • Plan for instruction, including syllabi development, learning plans, and assessment strategies.
  • Deliver, assess, and adapt effective instruction that meets the needs of all students.
  • Apply a variety of instructional strategies, create learning plans, facilitate learning, and revise teaching practice.
  • Promote a culture of continuing student success, implement strategies to promote learner persistence and meet the needs of all learners, demonstrate learner-centered communication, and utilize available student support services.
  • Create performance-based assessment plans, employ a variety of formative and summative assessment strategies, communicate assessment results in a timely fashion to promote student learning, and use assessment results to improve instruction.
  • Demonstrate professional behaviors to support teaching and learning and use varied strategies for managing the learning environment.
  • Identify exit learning outcomes and external standards, develop competencies that describe intended learning outcomes, create performance-based plans and assessment tasks for each course, develop learning objectives and plans, prepare syllabi, and utilize a quality review process to validate curriculum.
  • Use a variety of data analysis tools, analyze data from teaching and learning experiences, and use data to inform decision making about the teaching and learning process.
  • Create and maintain an inclusive, effective learning environment that addresses barriers and provides reasonable accommodations. May be assigned to mentor high school teachers who offer Northwood Tech-articulated courses.
  • Model the Employability Essentials expected of Northwood Tech students, which are to communicate clearly, demonstrate professionalism, think critically, and consider varying perspectives.
  • Designated as a Campus Security Authority (CSA) to receive and report criminal incidents to the Northwood Tech Safety Office by virtue of this role’s responsibilities at the College (only applies to instructor positions with club advising duties).
  • Advise nursing students.
  • Participate in the ADN accreditation process.
  • Other duties as assigned

Degree & Experience Required:

  • A graduate degree with a major in nursing; Candidate who holds a baccalaureate degree in nursing and actively enrolled and showing proof of progress in a master’ program with a major in nursing, a bachelor’s in nursing to doctorate program in nursing, or a doctorate program in nursing.
  • Minimum of two years (4,000 hours) occupational nursing experience
  • Direct care experience as a practicing nurse within the past five years required
  • Current, active, unencumbered registered nurse license or privilege to practice in the State of Wisconsin and eligibility to obtain a registered nurse license in the State of Minnesota. Minnesota registered nurse license may be required (Superior campus)

Knowledge, Skills, and Abilities:

  • Ability to obtain driver’s license and insurance coverage in accordance with College policy

Preferred:

  • Teaching experience in an associate degree nursing program
  • Certification as a Certified Nurse Educator (CNE)

FY27 Salary - Adjunct Faculty

Non-FQAS Completion - $44 / hour

FQAS Completion - $49 / hour


There are no benefits offered for this position.


7/26/2026