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Senior Python Data Analysis Jobs in Wisconsin (NOW HIRING)

TIER4 GROUP

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

Perform data collection, QA checks, and in-depth analysis to understand and improve marketing ... Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI.

Continuus Technologies LLC

Senior Data Analyst

Germantown, WI · On-site

$87K - $110K/yr

... Python or R for analysisKnowledge of statistical methods and experimentationFamiliarity with data modeling or data engineering conceptsDomain expertise (e.g., finance, HR, operations, product ...

Tiger Analytics

WI · On-site

We are looking for a Senior Data Scientist with a good blend of data analytics background ... as Python, Pyspark and SQL, and experience working with data analysis and machine learning ...

Tiger Analytics

WI · On-site

We are looking for a Senior Data Scientist with a good blend of data analytics background ... as Python, Pyspark and SQL, and experience working with data analysis and machine learning ...

Tri City National Bank

Senior Data Analyst

Oak Creek, WI

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Proficient in analytical and statistical tools (e.g., Python, R, SAS). * Solid understanding of CRM ...

Tri City National Bank

Senior Data Analyst

Oak Creek, WI · On-site

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Proficient in analytical and statistical tools (e.g., Python, R, SAS). * Solid understanding of CRM ...

Tri City National Bank

Senior Data Analyst

Oak Creek, WI · On-site

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales ... Proficient in analytical and statistical tools (e.g., Python, R, SAS). * Solid understanding of CRM ...

Generac

Senior Platform & Analytics Analyst

Waukesha, WI · On-site

$86K - $108K/yr

The Senior Analytics and Platform Analyst will play an important role in driving data-driven ... Proficiency in SQL, Python, R, or similar languages for data manipulation and analysis. * Expertise ...

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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.

Senior Data Analyst

TIER4 GROUP

Milwaukee, WI • Hybrid

$84K - $106K/yr

Full-time

Re-posted 10 days ago

Job description

Title: Sr Data Analyst

Location: Milwaukee, WI

Type: Hybrid (3 days onsite per week)

Duration: ASAP - May 2025

Perks: Competitive Rates, Benefits, Free Daily Lunch When Onsite


Role Summary

This Sr. Data Analyst role involves serving as a data scientist supporting marketing efforts for our Fortune 500 client. The role focuses on analyzing campaigns, understanding business processes, and distributing insights via dashboards. You will collect, validate, and deeply analyze data to uncover insights that drive marketing decisions, ensuring alignment with key objectives and results (OKRs). This is not a traditional BI role but one that requires critical thinking, asking the right questions, and leveraging data to move marketing initiatives forward.


Key Responsibilities

  • Develop and deliver user-friendly dashboards and reports to provide actionable insights and recommendations.
  • Perform data collection, QA checks, and in-depth analysis to understand and improve marketing campaigns and business processes.
  • Ask insightful questions to uncover underlying data trends and inform strategic marketing decisions.
  • Conduct campaign and business analysis, using data to identify opportunities and drive forward marketing objectives.
  • Partner with stakeholders to translate findings into meaningful strategies and plans.


Technical Skills and Requirements

  • 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 insights.
  • Proven experience conducting deep data dives to support decision-making.
  • Ability to grasp and analyze complex business processes and campaign performance.


Must-Haves

  • Expertise in research and data analysis with a proven track record of delivering actionable insights.
  • Ability to systematically gather, evaluate, and interpret data to uncover patterns and trends.
  • Strong communication skills to present findings effectively to stakeholders.
  • A results-driven mindset, with the ability to manage multiple priorities and meet deadlines.


Ideal Candidate Traits

  • A proactive approach to problem-solving, with curiosity and creativity to explore beyond routine tasks.
  • Experience in marketing-focused analysis, including campaign performance evaluation.
  • A collaborative and inclusive attitude, with a willingness to mentor and share insights with peers.


This role offers an exciting opportunity to blend data science with marketing strategy, driving impactful decisions and contributing to organizational success.