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Python Analytics Jobs in Wisconsin (NOW HIRING)

Flexion Inc

DevSecOps Engineer

Madison, WI · On-site +1

$125K - $160K/yr

... Analysis, Development, Design) as needed. Every member within a cross-functional team is a leader ... Able to work effectively across Python and TypeScript codebases, with FastAPI, Astro, or SvelteKit ...

Batteries Plus

Senior Financial Analyst

Hartland, WI · On-site

$83K - $103K/yr

... analytics. Reporting and Data Analysis * Support the month-end close process by preparing variance ... Advanced Microsoft Excel skills and experience with modeling required; experience with Python ...

Batteries Plus

Senior Financial Analyst

Hartland, WI · On-site

$83K - $103K/yr

... analytics. Reporting and Data Analysis * Support the month-end close process by preparing variance ... Advanced Microsoft Excel skills and experience with modeling required; experience with Python ...

BatteriesPlus

Senior Financial Analyst

Hartland, WI · On-site

$83K - $103K/yr

... analytics. Reporting and Data Analysis * Support the month-end close process by preparing variance ... Advanced Microsoft Excel skills and experience with modeling required; experience with Python ...

Batteries Plus

Senior Financial Analyst

Hartland, WI · On-site

$83K - $103K/yr

... analytics. Reporting and Data Analysis * Support the month-end close process by preparing variance ... Advanced Microsoft Excel skills and experience with modeling required; experience with Python ...

Batteries Plus

Senior Financial Analyst

Hartland, WI · On-site

$83K - $103K/yr

... analytics. Reporting and Data Analysis * Support the month-end close process by preparing variance ... Advanced Microsoft Excel skills and experience with modeling required; experience with Python ...

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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.
What are popular job titles related to Python Analytics jobs in Wisconsin? For Python Analytics jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Python Analytics jobs in Wisconsin look for? The top searched job categories for Python Analytics jobs in Wisconsin are:
Python Analytics jobs near you
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.
Manufacturing Pricing & Inventory Data Analyst

Manufacturing Pricing & Inventory Data Analyst

Cleaver-Brooks, Inc.

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago

Cleaver-Brooks rating

6.3

Company rating: 6.3 out of 10

Based on 10 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.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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