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Senior Python Data Analysis Jobs in Wisconsin (NOW HIRING)

Intone Networks Inc.

WI · On-site

$96 - $193/hr

This is a 6+ month contract opportunity for a Senior Python Software Engineer located in Las ... Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering ...

New

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

$150 - $200/hr

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

$150 - $200/hr

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 ...

Compeer Financial

Intern Data Analytics

Eau Claire, WI · On-site +1

$20 - $21/hr

... financial analysis strongly preferred. * Proficiency in using PowerBI, Python, R, Microsoft Excel, AI tools, or other data analytics tools. * Proven ability to work collaboratively in a team ...

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 ...

Tri City National Bank

Senior Data Analyst

Oak Creek, WI · On-site

$100 - $125/hr

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 Python Software Engineer

Intone Networks Inc.

WI • On-site

$96 - $193/hr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

This is a 6+ month contract opportunity for a Senior Python Software Engineer located in Las Colinas, Texas. You will work with a large financial institution on long-term automation and integration initiatives, designing and building solutions that streamline operational workflows and improve system reliability.

Responsibilities
  • Design and build automation to streamline provisioning, configuration, and lifecycle management of load balancers.
  • Create API-driven integrations between network platforms and internal systems.
  • Develop and maintain automation frameworks that improve reliability and reduce operational toil.
  • Translate manual operational procedures into codified, repeatable automation.
  • Understand and assure quality, security, and compliance requirements are met.
  • Participate in daily scrum activities and ceremonies.
  • Serve as an escalation point for addressing production and non-production issues.
  • Consult on complex initiatives with broad impact and large-scale planning for Software Engineering.
  • Review and analyze complex multi-faceted, larger scale or longer-term Software Engineering challenges that require in-depth evaluation of multiple factors including intangibles or unprecedented factors.
  • Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables.
  • Strategically collaborate and consult with client personnel.
Qualifications
  • Required
    • 5+ years of Software Engineering experience, or equivalent demonstrated through work or consulting experience, training, military experience, or education.
    • 5+ years Python development experience leveraging Django, Flask, or FastAPI.
    • 4+ years of front-end UI development with React.
    • 3+ years of Agile, CI/CD, and DevOps experience.
    • 2+ years of API development experience.
    • 1+ years of cloud-native application development experience (OpenShift, Cloud Foundry, or Kubernetes).
  • Preferred
    • Experience with full-stack development, including both front-end and back-end application development.
    • Experience developing user interfaces using React, JavaScript/TypeScript, HTML, and CSS.
    • Experience developing back-end services using Python frameworks such as Django or FastAPI.
    • Knowledge of RESTful APIs and microservices architecture.
    • Experience with SQL databases and database design concepts.
    • Experience building automation solutions for infrastructure, network, or operational workflows.
    • Familiarity with API management platforms such as Apigee.
    • Understanding of cloud-native application development and containerized environments (OpenShift, Kubernetes, or Cloud Foundry).
    • Experience using API testing and development tools such as Postman.
    • Familiarity with CI/CD pipelines, source control (Git/GitHub), and Agile development practices.
    • Knowledge of load balancing, networking, PKI/certificates, cryptography, or key management solutions.
    • Strong problem-solving, debugging, and analytical skills.
    • Excellent communication and teamwork skills.
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