1

Python Analytics Jobs in Wisconsin (NOW HIRING)

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+ ...

$52.75 - $72.75/hr

We are looking for an experienced Python developer with a strong analytical mindset who can design, implement and optimize scalable backend services, data-processing workflows and end-to-end RAG ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

BI Analytics Engineer

Milwaukee, WI · On-site

$50.25 - $65.25/hr

BI Analytics Engineer Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Build ... Strong understanding of Python, SQL, relational databases and data modeling. * Excellent ...

BI Analytics Engineer

Kenosha, WI · On-site

$49.75 - $64.75/hr

BI Analytics Engineer Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Build ... Strong understanding of Python, SQL, relational databases and data modeling. * Excellent ...

BI Analytics Engineer

Pleasant Prairie, WI · On-site

$49.50 - $64.25/hr

BI Analytics Engineer Corporate Headquarters 12575 Uline Drive, Pleasant Prairie, WI 53158 Build ... Strong understanding of Python, SQL, relational databases and data modeling. * Excellent ...

next page

Showing results 1-20

Python Analytics information

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

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.

Which Python Analytics job is in demand?

Python Analytics roles such as Data Analyst, Data Scientist, and Business Intelligence Analyst are currently in high demand across various industries. These positions typically require proficiency in Python, data visualization, and statistical analysis, with skills in tools like Pandas, NumPy, and machine learning frameworks increasing employability.

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.

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.

Is Python good for data analytics?

Python is widely used in data analytics roles due to its extensive libraries such as Pandas, NumPy, and Matplotlib, which facilitate data manipulation, analysis, and visualization. Its simplicity and versatility make it a preferred language for data analysts and data scientists, often complemented by skills in SQL and data modeling. Proficiency in Python can enhance job prospects in data analytics positions.
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.

$150K/yr

Full-time

Posted 19 days ago


Job description

Allspring Global Investments is looking for a skilled and experienced Python Engineer to join the Investor Enablement team. As part of a firmwide initiative to modernize investment technology platforms and data solutions, you will design, develop, and support enterprise-grade Python applications that enable investment, operations, and technology teams across the organization.

We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days per week.  

Location(s): Milwaukee, WI


Solution Development
• Design, develop, and implement scalable Python-based applications and services.
• Build high-performance, multi-threaded and multi-process applications.
• Develop and maintain RESTful APIs and integration services.
• Create analytical and reporting solutions using Streamlit, Plotly, Bokeh, and Matplotlib.
• Integrate applications with cloud services and enterprise systems.
• Collaborate with stakeholders to translate business requirements into technical solutions.
Data Engineering & Analytics
• Design and optimize data models and database structures.
• Design and implement data ingestion, transformation, and distribution pipelines.
• Process and analyze large datasets using Pandas and NumPy.
• Build monitoring and data quality controls.
• Support analytical and quantitative initiatives.
Maintenance and Support
• Monitor and maintain production applications.
• Troubleshoot application, integration, and data issues.
• Implement performance tuning and optimization.
• Participate in incident response and continuous improvement.
SDLC
• Participate in Agile/Scrum ceremonies and Jira tracking.
• Collaborate with business analysts, project managers, and developers.
• Develop automated testing and deployment pipelines.
• Create and maintain technical documentation.


Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, Physics, or related discipline.
  • 3-5 years of professional software development experience with Python.
  • Experience designing enterprise-grade Python applications.
  • Experience building APIs, data processing solutions, and integration services.
  • Experience working within Agile delivery teams.
  • Python 3.10+ with strong OOP and design patterns experience.
  • Experience building multi-threaded and multi-process applications.
  • Expertise with Pandas and NumPy.
  • Experience with Matplotlib, Plotly, Bokeh, and/or Streamlit.
  • Strong SQL skills with PostgreSQL, Microsoft SQL Server, and Snowflake.
  • Familiarity with NoSQL databases.
  • Experience building and consuming RESTful APIs.
  • FastAPI experience
  • Experience with Swagger/OpenAPI and Postman.
  • AWS familiarity – ECS Tasks, EC2, Lambda, IAM roles, Monitoring
  • Testing frameworks including pytest.
  • GIT and collaborative development workflows
  • CI/CD tools such as Jenkins.
  • Remain in stationary position for prolonged periods of time
  • Operate computer programs and software
  • Ability to communicate effectively with audiences in person and in electronic formats
  • Day-to-day contact with others (co-workers and/or public)
  • Ability to work in a collaborative business environment in close quarters with peers and varying interruptions

Preferred SKILLS

  • Quantitative finance concepts including risk metrics, performance attribution, and valuation models.
  • Experience building ETL pipelines for market and reference data.
  • Knowledge of Docker and Kubernetes.
  • Experience integrating with Microsoft Power Platform, Power BI, or Dataverse.
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration skills.
  • Ability to work independently and manage multiple priorities.
  • Strong attention to detail and commitment to quality.

Please note: This position does not offer sponsorship for employment visas. Applicants must be legally authorized to work in The United States without sponsorship now or in the future.


Base Pay Range: $100,000 - $130,000

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans.)

#LI-JD1

#LI-Hybrid


We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status