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Python Analytics Jobs in Wisconsin (NOW HIRING)

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 ...

Position Overview The Senior Commercial Analytics Specialist is responsible for analyzing the ... Statistical tool (e.g. any of R, SAS, Python etc.). * Relational data models. * Experience ...

Position Overview The Senior Commercial Analytics Specialist is responsible for analyzing the ... Statistical tool (e.g. any of R, SAS, Python etc.). * Relational data models. * Experience ...

$45 - $50/hr

... and analyze CT images using Linux-based tools and software applications. · Evaluate CT image ... proficiency in Python programming. · Hands-on experience working in Linux environments. · ...

New

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)

Showing results 21-40

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.

BI Analytics Engineer

ULINE

Pleasant Prairie, WI • On-site

$49.50 - $64.25/hr

Full-time

Medical, Retirement, PTO

Re-posted 13 days ago


Uline rating

8.2

Company rating: 8.2 out of 10

Uline

Based on 113 frontline employees who took The Breakroom Quiz

7.1

Company rating compared to similar companies: 7.1 out of 10

Retail wholesalers average

Based on 12,866 frontline employees who took The Breakroom Quiz

The best things about working at Uline

  • 100%

    100% say they get paid time off

    say they get paid time off

  • 98%

    98% say their health insurance is affordable

    say their health insurance is affordable

  • 81%

    81% say they get enough training

    say they get enough training

Featured by Uline, based on 113 Breakroom Quiz responses from their frontline employees


Job description

BI Analytics Engineer
Corporate Headquarters
12575 Uline Drive, Pleasant Prairie, WI 53158
Build what's next. Power what's now. As a BI Analytics Engineer at Uline, you'll turn data into insights that drive decisions across the business. Partner with teams across the company to design dashboards, shape reporting and build scalable analytics solutions that support our custom enterprise systems.
Why IT at Uline?
Uline's 450+ person in-house tech team builds and supports the custom systems that run our business. The team owns and creates solutions that operate at scale, supporting operations from warehouse management to e-commerce.
Careers Packed with Potential. Backed by 45+ years of success, Uline offers opportunities to grow your career with stability you can count on.
Position Responsibilities
  • Work with Senior Business Intelligence and Analytics team members to design datasets and deliver insights that support our growing business.
  • Partner with business leaders to develop scalable solutions and dashboards using Microsoft's BI Stack and Python.
  • Translate business needs into scalable data models and reporting layers that support consistent, reliable analysis.
  • Document analytics requirements, data models and processes to ensure consistent and accurate reporting.

Minimum Requirements
  • Bachelor's Degree in Information Technology, Computer Science or related field.
  • 3+ years of experience developing solutions with Microsoft's BI Stack such as Power Apps, Power Automate and Power BI.
  • Strong understanding of Python, SQL, relational databases and data modeling.
  • Excellent communication, collaboration and problem-solving skills.
  • Uline does not participate in the H1-B lottery.

Benefits
  • Complete health insurance coverage and 401(k) with 6% employer match that starts day one!
  • Multiple bonus programs.
  • Paid holidays and generous paid time off.
  • Tuition Assistance Program that covers professional continuing education.

Employee Perks
  • On-site café and first-class fitness center with complimentary personal trainers.
  • Over four miles of beautifully maintained walking trails.

About Uline
Uline, a family-owned company, is North America's leading distributor of shipping, industrial, and packaging materials with over 9,800 employees across 14 locations.
Uline is a drug-free workplace. All new hires must complete a pre-employment hair follicle drug screening. All positions are on-site.
EEO/AA Employer/Vet/Disabled
#LI-EP1
#CORP
(#IN-PPITL3)
Our employees make the difference and we are committed to offering exceptional benefits and perks! Explore Uline.jobs to learn more!

Working at Uline

Perks for frontline workers

From Uline, via Breakroom

  • Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

  • Multiple bonus programs.

  • Paid holidays and generous paid time off.

  • Tuition Assistance Program that covers professional continuing education.

  • Fitness center and walking trails at select locations.

  • In-house speakers, workshops and seminars.

What to expect from working at Uline

From Uline

About Uline, in their own words

From Uline

Uline, a family-owned business headquartered in Kenosha County, Wisconsin, is the leading distributor of shipping, industrial and packaging materials to businesses throughout North America.


What Uline employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Uline logo

About Uline

Sourced by ZipRecruiter

Uline is North America's leading distributor of shipping, industrial and packaging materials. We're a family-owned company known for incredible service, quality products and same-day shipping of our huge in-stock inventory. With over 9,000 employees across 13 locations, it's time you joined Uline.

Industry

Paper product wholesalers, trucking and wholesale

Company size

5,001 - 10,000 Employees

Headquarters location

Pleasant Prairie, WI, US

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