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Python Data Jobs in Wisconsin (NOW HIRING)

Junior Data Scientist

Milwaukee, WI · Hybrid

$68K - $93K/yr

Write clean, well-documented Python for data processing, modeling, and analysis * Work with SQL to query, transform, and validate data across multiple sources Support model monitoring, performance ...

Leverage tools such as Python, dbt, and SQL to develop advanced data transformation and integration processes. * Optimize data storage and retrieval mechanisms to support high-performance analytics ...

Leverage tools such as Python, dbt, and SQL to develop advanced data transformation and integration processes. * Optimize data storage and retrieval mechanisms to support high-performance analytics ...

Conduct exploratory data analysis to cull actionable insights using analytical rigor and ... Experience using modern analytics tools, programming languages, and cloud platforms such as Python ...

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI. * Strong data collection, quality assurance, and analytical skills to ensure accurate and reliable ...

Determine the correct data sets and variables * Collect large sets of structured and unstructured ... Demonstrated proficiency with a programming language such as Python, Matlab or Visual Basic is ...

Design, develop, and maintain robust ETL pipelines using Databricks, Python, Spark and SQL ... Participate in data warehouse design and implementation * Implement data quality checks and ...

Demonstrated proficiency with a programming language such as Python, Matlab or Visual Basic is ... Fundamental concepts in data science and analytics * Understanding of SQL and relational databases

Lead exploratory data analysis to cull actionable insights * Collaborate with stakeholders to ... Expert in using modern analytics tools, programming languages, and cloud platforms (Python, R ...

Data Platform Engineer

Milwaukee, WI · Hybrid

$112K - $135K/yr

Experience with Python or similar scripting/programming languages * Experience with data operations and change management (CI/CD, source control, infrastructure as code, etc.) * Understanding of ...

Data Platform Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Experience with Python or similar scripting/programming languages * Experience with data operations and change management (CI/CD, source control, infrastructure as code, etc.) * Understanding of ...

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Python Data information

See Wisconsin salary details

$13

$59

$87

How much do python data jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for python data in Wisconsin is $59.17, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 per hour, depending on experience, location, and employer.

What is the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals skilled in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries, especially with certifications or advanced degrees.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, NumPy, or frameworks like Django and Flask, and may involve tasks like scripting, data processing, or web development.

Is Python a high paying job?

Python data roles, such as Python developers or data analysts, tend to offer competitive salaries due to the high demand for programming and data skills. Salaries vary based on experience, location, and industry, but Python-related positions generally pay above average compared to many other tech roles.

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

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.
What are popular job titles related to Python Data jobs in Wisconsin? For Python Data jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Python Data jobs in Wisconsin look for? The top searched job categories for Python Data jobs in Wisconsin are:
Manufacturing Pricing & Inventory Data Analyst

Manufacturing Pricing & Inventory Data Analyst

Cleaver-Brooks

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Cleaver-Brooks rating

6.5

Company rating: 6.5 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Any salary estimation specified in this job board may or may not be aligned with our organization’s pay philosophy. Apply to connect with a Talent Acquisition Partner who can provide you more details!

Cleaver-Brooks is seeking a Manufacturing Pricing & Inventory Data Analyst to support pricing and inventory decision-making within our Aftermarket parts business in Milwaukee, WI. This role focuses on developing analytics that improve pricing competitiveness, inventory availability, and proactive decision-making. The analyst will help modernize analytics currently performed using Excel and Access-based reporting, transitioning them into scalable solutions using Python, SQL, centralized data models, and Power BI. This role reports into the Genuine Parts organization and works closely with Pricing, Inventory, and Digital Solutions teams. The position also participates in the broader ALM Analytics Center of Excellence (COE) to ensure analytics are sustainable and reusable. 

The level of this role (Data Analyst II or III) will be determined based on experience and demonstrated technical capability. 

This position is an in office position located in Milwaukee WI

Essential Functions: 

Pricing Analytics 

  • Develop analytics to monitor pricing competitiveness and market alignment. 
  • Create alerts and notifications when pricing deviates from benchmarks or when PPV risk increases. 
  • Analyze the impact of pricing changes on sales volume, margin, and market performance. 
  • Replace manual Excel-based pricing analyses with automated, repeatable solutions. 
  • Provide data-driven insights to support pricing decisions. 

Inventory & Demand Analytics 

  • Build SKU-level demand and sales-velocity analytics. 
  • Create alerts for accelerating demand, stockout risk, and slow-moving inventory. 
  • Support decisions related to stocking strategies and target inventory levels. 
  • Analyze year-over-year and seasonal demand trends. 
  • Partner with inventory and supply chain teams to translate analytics into actions. 

Data Modeling & Analytics Foundations 

  • Help transition analytics from Access databases and Excel reports to a centralized data model. 
  • Design and maintain structured tables, views, and datasets to support pricing and inventory analytics. 
  • Improve data quality, consistency, and usability for reporting and analysis. 

Automation & Advanced Analytics 

  • Use Python to clean, transform, and analyze pricing and inventory data. 
  • Automate recurring analyses, alerts, and data refreshes. 
  • Store analytics outputs in database tables for consistent reporting and reuse. 
  • Collaborate with Digital Solutions and the ALM Analytics COE to support production-ready analytics. 

Reporting & Visualization 

  • Build and maintain Power BI dashboards that present pricing and inventory insights clearly. 
  • Develop semantic models and data marts to support consistent reporting. 
  • Ensure dashboards align with business needs and decision-making workflows. 

Key Outcomes 

  • Timely pricing and inventory alerts that support proactive decision-making. 
  • Reduced reliance on manual Excel and Access-based reporting. 
  • Improved visibility into SKU demand, pricing alignment, and inventory performance. 
  • Scalable, reusable analytics aligned with ALM Analytics COE standards. 

Work Authorization Requirement

  • Candidates must be authorized to work in the United States on a permanent basis without the need for current or future employer sponsorship.  Applicants who require sponsorship now or in the future are not eligible for this position.

Required Qualifications 

  • 3+ years of experience in a Data Analyst, Business Intelligence Analyst, or similar role. 
  • Strong experience with: 
  • Python for data analysis and automation 
  • SQL and relational databases 
  • Power BI or similar BI tools 
  • Experience working with structured datasets and analytics workflows. 
  • Strong analytical, problem-solving, and communication skills. 

Preferred Qualifications 

  • Experience with pricing, inventory, supply chain, or aftermarket analytics. 
  • Familiarity with pricing systems such as IFS; Zilliant experience is a plus. 
  • Experience modernizing legacy reporting environments (Excel, Access). 
  • Exposure to statistical analysis, forecasting, or demand modeling. 
  • Experience working in a data or analytics COE environment. 

Benefits of Being a Cleaver-Brooks Employee:

  • Competitive salary
  • Comprehensive benefits, including medical, dental, vision, maternity support program, discounted virtual physician visits, voluntary medical benefits (Critical Illness, Hospital Care, and Accidental Injury), FSA, HSA, life insurance, short term and long-term disability
  • Cash matching 401(k) plan
  • Employee assistance program (EAP)
  • Pet insurance
  • Employee discount program
  • Tuition assistance
  • Paid time off and 11 paid holidays

Who is Cleaver-Brooks:

Cleaver-Brooks is the market leader in providing fully integrated boiler and burner systems. We lead the boiler/burner industry due to our unmatched distribution network’s ability to deliver the knowledge, service, training, and support that are essential to long-term performance. Our customers will tell you that we are the only equipment provider that manufactures boilers, burners, controls, and a full array of ancillary and aftermarket products. They will also mention that our unique single-source capability means that we can deliver fully integrated boiler room solutions that reduce overall costs and optimize space. It is our focus on products that deliver the most efficient, reliable, safe, and environmentally sustainable solutions that differentiate us in the marketplace. Cleaver-Brooks continues a 90+ year legacy of providing the customers we serve with extraordinary products designed to deliver unsurpassed performance through the power of commitment.

This description indicates the general nature of the tasks and responsibilities required of positions given this classification. It is not intended as a complete list of specific duties and responsibilities. Nor is it intended to limit or modify the right of management to assign, direct, and control the specific duties of individuals performing this function. The Company reserves the right to change, modify, amend, add to or delete from any section of this document as it deems, in its judgement, to be proper.

By applying for this job and providing your mobile number, you consent to receive an initial text message from a Cleaver Brooks Talent Team member. You will have the option to opt out upon receiving the message. Messages may include updates on your application, scheduling initial screenings or interviews, and similar communications. Standard message and data rates may apply, and message frequency may vary.