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Python Analytics Jobs in Wisconsin (NOW HIRING)

Proficiency in SQL, Python, R, or similar languages for data manipulation and analysis. * Expertise in analytics platforms and tools (e.g., Power BI, AWS/GCP/Azure cloud services, Databricks)

Strong proficiently in data analysis tools (e.g., SQL, Python, R, Excel) and visualization techniques/software (e.g. Power BI, Tableau) * Proven experience in developing and implementing data ...

Business Analytics Tutor

Milwaukee, WI ยท Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Business Analytics Tutor

Madison, WI ยท Remote

$18 - $40/hr

Adapts instruction using Excel, Tableau, Python, or R with real business data sets and case studies to support undergraduate and MBA students developing analytical capabilities for modern business ...

Analytics Engineer - West Bend, Wisconsin Build What Helps Us Work Smarter. At Delta Defense, data ... Experience with with Python and shell scripting a plus * Experience with Agile development methods

Python * Help embed insights into daily decision-making processes Qualifications Required * Bachelor's degree in: * Finance, Accounting, Data Analytics or related field * 2-5 years of experience in ...

Analytics Engineer - West Bend, Wisconsin Build What Helps Us Work Smarter. At Delta Defense, data ... Experience with with Python and shell scripting a plus * Experience with Agile development methods

... analytics team performing statistical analysis and/or data modeling * Proficient with SQL * Experience with Python or R * Experience working with data visualization tools (e.g., Tableau, PowerBI)

Senior Analytics Developer

Cornell, WI ยท On-site

$87K - $130K/yr

Scripting for analysis/automation (Python or R); statistics/experiment design familiarity. * Experience using AI-assisted tools and modern development environments to generate, refine, and optimize ...

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Python Analytics information

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

To thrive as a Python Analytics professional, you need a strong background in statistics, data analysis, and proficiency in Python programming, often supported by a degree in computer science, mathematics, or a related field. Familiarity with data analytics libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and experience with databases are typically required. Strong problem-solving, communication, and critical thinking skills help in interpreting data and conveying insights to stakeholders. These abilities are crucial for turning complex data into actionable business decisions and driving organizational success.

What is the difference between Python Analytics vs Data Analyst?

AspectPython AnalyticsData Analyst
Required SkillsPython programming, data manipulation, statistical analysisExcel, SQL, basic statistics
CertificationsPython certifications, data analysis coursesNone typically required, but certifications like CAP or Microsoft certifications are common
Work EnvironmentData science teams, analytics departments, tech companiesBusiness units, marketing, finance, consulting firms
ToolsPython libraries (Pandas, NumPy, scikit-learn)Excel, SQL, Tableau, Power BI

Python Analytics involves using Python programming to perform advanced data analysis, modeling, and automation, often requiring coding skills. Data Analysts focus on interpreting data using tools like Excel and SQL, providing reports and insights. While both roles analyze data, Python Analytics typically involves more technical and programming expertise, making it suitable for complex data projects and predictive modeling.

Is Python a high paying job?

Python analytics roles are generally well-paid due to the high demand for data analysis, machine learning, and automation skills. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech and finance sectors.

What are some typical challenges faced by professionals in Python Analytics roles, and how can I prepare for them?

Professionals in Python Analytics roles often encounter challenges such as handling large and complex datasets, ensuring data quality, and communicating insights effectively to non-technical stakeholders. To prepare, it's beneficial to strengthen your skills in data cleaning, visualization libraries (like Matplotlib or Seaborn), and learn best practices for writing efficient, reproducible code. Collaborating closely with data engineers, business analysts, and decision-makers is also a key part of the job, so developing strong communication and teamwork abilities will help you succeed.

What is a Python Analytics professional?

A Python Analytics professional is someone who uses the Python programming language to collect, process, analyze, and interpret data in order to help organizations make data-driven decisions. They often work with large datasets, perform statistical analyses, create data visualizations, and build predictive models. These professionals may work in industries such as finance, healthcare, marketing, or technology, and typically use libraries like Pandas, NumPy, and Matplotlib. Their work helps businesses gain insights, optimize processes, and solve complex problems through data.

What is the salary for Python data analytics?

The salary for Python data analytics roles typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, machine learning, and tools like Pandas or NumPy tend to earn higher salaries.

What does a Python data analyst do?

A Python data analyst uses Python programming to collect, clean, analyze, and visualize data to support business decision-making. They often work with libraries like pandas, NumPy, and matplotlib, and may also perform statistical analysis or build data models. Strong problem-solving skills and knowledge of data management are essential for this role.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its simplicity, extensive libraries like pandas, NumPy, and scikit-learn, and strong community support. It enables analysts to perform data manipulation, visualization, and machine learning tasks efficiently, making it a valuable skill for data analytics jobs.
Infographic showing various Python Analytics job openings in Wisconsin as of July 2026, with employment types broken down into 61% Full Time, 28% Part Time, and 11% Contract. Highlights an 72% In-person, 22% Hybrid, and 6% Remote job distribution.
Marketing Analytics & Member Growth Specialist

Marketing Analytics & Member Growth Specialist

Blackhawk Community Credit Union

Janesville, WI โ€ข On-site

$65K - $72K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

About Company:

Blackhawk Community Credit Union began in 1965 with the Fisher Body Division of General Motors- Janesville. Over the last 59 years we have grown in locations, membership and technology. We currently serve over 45,000 members and are committed to partnering with our community members during all stages of their lives. Our Mission is simple, empowering members to reach financial goals. From a toolbox to 10 different branches, Blackhawk Community Credit Union has grown into a financial institution that is proud to serve members across Southern Wisconsin and Northern Illinois.

We value our employees and their future and recognize their contribution to our success. It is for that reason that we offer competitive wages, and a comprehensive health, dental, and vision insurance package. We also offer paid time off, life insurance, disability, FSA, and 401K retirement benefits with employer match up to 5%.

About the Role:

The Marketing Analytics & Member Growth Specialist plays a critical role in driving data-informed marketing strategies to accelerate member acquisition and retention across diverse channels. This position focuses on analyzing complex datasets to uncover actionable insights that optimize marketing campaigns and enhance member engagement. The specialist collaborates closely with marketing, product, and data teams to develop growth initiatives that align with organizational goals. By leveraging advanced analytics and growth marketing techniques, this role ensures continuous improvement in member growth metrics and overall marketing ROI. Ultimately, the specialist contributes to building a scalable and sustainable member base that supports long-term business success.

Minimum Qualifications:

  • Bachelorโ€™s degree in Marketing, Business, Statistics, Data Science, or a related field.
  • 3+ years of experience in marketing analytics, growth marketing, or a similar role.
  • Proficiency in data analysis tools such as SQL, Excel, and Google Analytics.
  • Experience with marketing automation platforms and CRM systems.
  • Strong analytical mindset with the ability to translate data into actionable marketing strategies.

Preferred Qualifications:

  • Masterโ€™s degree in a relevant field or equivalent practical experience.
  • Experience with advanced analytics tools such as Python, R, or Tableau.
  • Familiarity with digital marketing channels including paid search, social media, and email marketing.
  • Knowledge of member lifecycle management and retention strategies.
  • Previous experience working in a membership-based or subscription business model.

Responsibilities:

  • Analyze marketing performance data to identify trends, opportunities, and areas for improvement in member acquisition and retention.
  • Develop and execute growth marketing strategies that target key demographics and optimize conversion funnels.
  • Collaborate with cross-functional teams to design and implement A/B tests and other experiments to validate marketing hypotheses.
  • Create detailed reports and dashboards to communicate insights and recommendations to stakeholders and leadership.
  • Monitor member behavior and engagement metrics to inform personalized marketing campaigns and lifecycle strategies.
  • Utilize marketing automation and CRM tools to segment audiences and deliver targeted messaging.
  • Stay current with industry trends, tools, and best practices in marketing analytics and growth hacking.

Skills:

The required skills enable the specialist to extract meaningful insights from large datasets, which inform targeted marketing campaigns and growth initiatives. Proficiency in SQL and analytics platforms allows for efficient data querying and visualization, essential for daily performance tracking and reporting. Marketing automation and CRM expertise facilitate precise audience segmentation and personalized communication, enhancing member engagement. Preferred skills such as Python or R support advanced statistical analysis and predictive modeling, enabling more sophisticated growth strategies. Familiarity with digital marketing channels and member lifecycle management ensures that the specialist can design and optimize campaigns that effectively attract and retain members.


Please note, this position is REQUIRED to come into office.