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Senior Python Data Analysis Jobs in Wisconsin (NOW HIRING)

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 ...

WI · On-site

$90 - $150/hr

Perform data acquisition, ETL, exploratory data analysis, data preparation, feature engineering ... Develop dashboards, visualizations, and analytic products using Python, Power BI, Tableau, or ...

New

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 ...

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 ...

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 ...

Proficiency in Python, with a strong emphasis on data manipulation and analysis using libraries such as Pandas * Basic understanding of machine learning concepts and algorithms * Demonstration of ...

Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ... Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation ...

Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ... Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation ...

Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ... Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation ...

Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ... Master-level tool knowledge (e.g., SQL, Python, AWS, DataRobot, AnyLogic, and other simulation ...

Product Design Engineer

Milwaukee, WI · On-site

$127K - $152K/yr

Experience utilizing Microsoft Excel for data analysis and proficiency in MS Power BI, SQL, Python, Data Visualization, and Reporting preferred. Previous experience with ERP systems such as SAP in an ...

# Senior Software Engineer - DataApartmentIQ • Madison , Wisconsin • Real Estate • 4h agoSave ... Strong experience in Ruby on Rails and Python.* **Data Ingestion Expert:** Deep understanding of ...

Big Data Engineer, Senior

Milwaukee, WI · On-site

$55 - $72.75/hr

Work closely with developers, analysts, and client-facing teams to gather requirements ... Python, Scala or Java; 4 years working with data validation and quality assurance practices; 3 ...

Showing results 41-60

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 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:

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.

Full-time

Medical, Dental, Life, Retirement

Re-posted 14 days ago


Job description

POSITION OVERVIEW: You're a Data Analyst who loves building insightful dashboards as much as you do finding the story buried within them.


You're comfortable in the numbers, but you don't live there. You live in the "what does it mean" - the insights that turn performance data into a recommendation clients can actually act on. You're as fluent in measurement frameworks as you are in a strategy conversation, and you know how to make complex analysis feel clear without making it simple.


As a Data Analyst, you'll work within our Media department as a key partner to the Director of Digital Media, Account Service, and creative teams. You'll analyze cross-channel performance data, identify trends and opportunities, guide measurement frameworks, and support the tracking and reporting solutions that give clients a smarter picture of what's working - and why.


If you're an analytical mind with strategic instincts who wants to put them to work somewhere that values both, let's talk.


KEY RESPONSIBILITIES:

Data Analysis, Reporting & Insights

  • Collaborate with media team members to design and maintain automated dashboards (e.g., TapClicks, NinjaCat, Google Data Studio) that clearly communicate performance, insights and opportunities to internal teams and clients.
  • Analyze performance data across paid media channels (search, social, programmatic, etc.), owned channels (email, social, etc.), and web analytics platforms.
  • Develop insights that drive campaign optimization, budget allocation, audience strategy, and creative testing strategy.
  • Identify trends, performance anomalies, and growth opportunities.


Measurement & Tracking Implementation

  • Collaborate with Shine's in-house web development team and client teams to implement and validate tracking solutions (GA4, GTM, media platform pixels, conversion APIs, server-side analytics platforms, etc.).
  • Ensure proper data collection architecture across client websites and landing pages.
  • Troubleshoot data discrepancies and tracking issues.
  • Maintain documentation of measurement frameworks and tagging structures.


Strategic Collaboration

  • Partner with account service to align data insights with client KPIs and business objectives.
  • Support development of test-and-learn agendas, measurement plans, and quarterly business reviews.


QUALIFICATIONS:

Required:

  • 3-5+ years of experience in digital marketing analytics, media analytics, or a similar role (agency experience preferred).
  • Strong proficiency in web analytics platforms (GA4 required).
  • Experience with tag management systems (Google Tag Manager preferred).
  • Experience with data visualization tools (TapClicks preferred).
  • Working knowledge of paid media platforms (Google Ads, Meta, LinkedIn, programmatic DSPs) and corresponding conversion APIs where applicable.
  • Ability to synthesize data into clear, actionable insights for non-technical audiences.
  • Understanding of attribution models and incrementality testing.
  • Experience with server-side analytics platforms.
  • Exposure to marketing mix modeling or advanced analytics frameworks.


Preferred:

  • 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 salary based on experience. Benefits package includes: fully paid health, dental, life and disability insurance (for individuals and families), 401k program, paid downtown parking, paid home internet access, and more.


ABOUT SHINE UNITED: Shine United is a $51 million advertising, design and digital agency located in America's Heartland - Madison, Wisconsin. Best known for its innovative brand positioning and creative firepower, Shine has been tapped by brands like Harley-Davidson, Mizuno Running, Discover Card, Amazon, Kohler, Festival Foods, Toppers Pizza, Winston Fly Rods, Carver Yachts and UW Health. Shine was named one of the best small agencies in the country by One.A.Magazine, and one of the best places to work in the country by Outside Magazine. Shine's work has been featured in Communication Arts, Print, Graphis, AdAge and The New York Times. Learn more at ShineUnited.com.


#ShineOn


Shine United is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.