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Senior Python Data Analysis Jobs in Wisconsin (NOW HIRING)

Bankers' Bank

Data Analyst - WI

Madison, WI · On-site

Data Analysis (40%) * Conduct exploratory data analysis to identify trends, patterns, and ... Basic knowledge of programming languages (i.e., Python) and querying languages (i.e., SQL)

Bankers' Bank

Data Analyst - WI

Madison, WI

Data Analysis (40%) * Conduct exploratory data analysis to identify trends, patterns, and ... Basic knowledge of programming languages (i.e., Python) and querying languages (i.e., SQL)

Bankers' Bank

Data Analyst (WI)

Madison, WI · On-site

Data Analysis (40%)Conduct exploratory data analysis to identify trends, patterns, and segmentation ... Basic knowledge of programming languages (i.e., Python) and querying languages (i.e., SQL)

Batteries Plus

Senior Financial Analyst

Hartland, WI · On-site

$83K - $103K/yr

The Senior Financial Analyst plays a critical role supporting the company's financial planning and ... Python (pandas), SQL, or scripting for data analysis and automation preferred. Why Batteries Plus ...

Batteries Plus

Senior Financial Analyst

Hartland, WI · On-site

$83K - $103K/yr

The Senior Financial Analyst plays a critical role supporting the company's financial planning and ... Python (pandas), SQL, or scripting for data analysis and automation preferred. Why Batteries Plus ...

Roehl Transport

Senior Data Engineer

Marshfield, WI · On-site

$106K - $144K/yr

The Opportunity Roehl Transport is seeking a Senior Data Engineer to help design and deliver modern ... Use Python and AI-enabled tools where appropriate to improve automation, integration, analysis, and ...

Carroll University

Sr. Data Analyst

Waukesha, WI · On-site +1

$86K - $108K/yr

The Senior Data Analyst is a strategic and technical role within Information Technology responsible for advancing the institution's data analytics, reporting, and decision-support capabilities. This ...

Shine United

Data Analyst

Madison, WI · On-site

  • Medical

  • Dental

  • Life

  • Retirement

Experience with SQL and/or Python for data analysis, including implementation of Meridian * Familiarity with CRM data integration and customer journey analysis. COMPENSATION & BENEFITS: Competitive ...

KOHLS

Data Scientist (Remote)

Menomonee Falls, WI · On-site

Collaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models ... Experience using modern analytics tools, programming languages, and cloud platforms such as Python ...

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Senior Python Data Analysis information

What is a senior Python data analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.

What are the key skills and qualifications needed to thrive as a senior Python data analyst?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What are some common challenges senior Python data analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are the most commonly searched types of Python Data Analysis jobs in Wisconsin?

The most popular types of Python Data Analysis jobs in Wisconsin are:

What are popular job titles related to Senior Python Data Analysis jobs in Wisconsin?

For Senior Python Data Analysis jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Senior Python Data Analysis jobs in Wisconsin look for?

The top searched job categories for Senior Python Data Analysis jobs in Wisconsin are:

What cities in Wisconsin are hiring for Senior Python Data Analysis jobs?

Cities in Wisconsin with the most Senior Python Data Analysis job openings:

Senior Python Data Analysis jobs near you
Infographic showing various Senior Python Data Analysis job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Intern - Renewables Data Analytics

We Energies (WE)

Milwaukee, WI • On-site, Remote

$23.10/hr

Full-time, Part-time, Internship

Posted 4 days ago

We Energies rating

7.1

Company rating: 7.1 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

Job description

We Energies and Wisconsin Public Service, subsidiaries of WEC Energy Group, is seeking a Renewables Data Analytics intern starting May/June 2027. This position can be located in Green Bay, Wisconsin or Milwaukee, Wisconsin locations. This position offers flexibility for a hybrid work arrangement (remote/in-office). The starting hourly rate for this position is $23.10 with paid company holidays. This internship is full-time during the Summer of 2027 with potential to work part-time during the fall.

About Us

WEC Energy Group is one of the nation’s largest electric generation and distribution and natural gas delivery holding companies serving 4.7 million customers across the Midwest. We are committed to providing clean, reliable, and affordable energy in an environmentally sustainable manner. Customers are the heart of our business, and we work every day to help grow and support communities where we provide vital energy services.

As a Fortune 500 company, we value and develop our employees who are making a difference in a mission that matters. We don’t just offer a job; we provide fulfilling careers where safety and well-being are paramount. Join our team and experience first-hand our commitment to your success. We offer competitive pay and benefits to recognize your hard work and dedication.

If you’re talented, energetic and ready for a career with a future, we want you on our team. We are powered by a diverse and inclusive workforce fueled by the pride in what we do. If you're driven by the passion to change lives, this is the place for you.

Job Summary

The Renewables Analytics team is focused on enabling data-based decision making through clear metrics, monitoring, and robust data analytics for a large operating fleet of renewable energy projects. As an intern you will be involved in day-to-day support, business requirement gathering, data preparation, data analysis, data visualization and other activities including attending and participating in various meetings as part of the team.

Job Responsibilities

   Develop architecture & maintain databases of critical equipment meta data
•    Manage data flows and data pipelines that feed real-time predictive models and other data tools
•    Work closely with Renewables team, business & data analysts, and IT support groups to solve data access, architecture, and process needs
•    Use available data to review the performance and reliability of wind / solar / battery storage assets
•    Collaborate with Renewables team to design and deploy analytics and KPI reporting at a fleet level
•    Perform ad hoc investigations of emergent equipment issues
•    Manage the ETL process for transforming operational SCADA data into aggregated data repositories
•    Empower subject matter experts with self-service access to raw and aggregated data
•    Alternate between remote and office work as needed (hybrid setting) 
•    Travel to generation sites in remote locations in WI, MI, MN, IA, IL, or IN

Minimum Qualifications

•    High School Diploma, GED, or HSED 
•    Current pursuit of a Bachelor’s degree or higher in Data Science, Data Analytics, Computer Science, Engineering or related degree with a graduation date after June 2027
•    Minimum GPA of 2.8 
•    Valid Driver's License

Preferred Qualifications

•    Experience writing code, programs, and/or algorithms 
•    Experience with data mining, analysis, engineering, and/or visualization
•    SQL (T-SQL, MySQL, Athena), VBA, API, Python/R, and Power BI
•    DevOps and GitHub experience 
•    Renewable energy technology, especially wind, solar, and energy storage experience
•    Strong initiative, collaborative, prioritization, critical thinking skills and time management skills

End Date: 11/15/2026 

Pay Range Minimum:  $23.10

Pay Range Maximum:  $27.55

The pay range reflects the minimum and maximum for the position at the time of posting and may be modified in the future. The starting salary/pay within the pay range will be based on several factors, as applicable, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, shift, travel requirements, collective bargaining agreements, and business and organizational needs.  At WEC Energy Group, it is not typical for an individual to be hired at or near the top of the range for their role.

WEC Energy Group benefits

We reserve the right to modify the application deadline or discontinue accepting applications for any position if deemed necessary. Applications will be reviewed on a rolling basis, with interviews commencing after submission for qualified candidates. 
Learn more at Careers

WEC Energy Group will only employ those who are legally authorized to work in the United States. Individuals with temporary visas such as E, F-1 with OPT or CPT, H-1, H-2, L-1, B, J or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.

WEC Energy Group and its subsidiaries are Equal Opportunity Employers. As a result, all qualified applicants will receive equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other protected status. The Company also complies with all applicable federal, state and local laws that require it to take affirmative action.
 

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