ZipRecruiter

Log In

1

Senior Python Data Analyst Jobs in Watertown, WI

Urus

Senior Data Engineer

Watertown, WI

$101K - $137K/yr

Develop and maintain Databricks pipelines and datasets using Python, Spark and SQL. * Drive the design and implementation of batch and streaming data lake architectures supporting both analytics and ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Python, Scala, SQL development. * ETL data pipelines. * Designing and implementing data modeling ...

AgSource

Senior Data Engineer

Watertown, WI · On-site

$101K - $137K/yr

Develop and maintain Databricks pipelines and datasets using Python, Spark and SQL. * Drive the design and implementation of batch and streaming data lake architectures supporting both analytics and ...

Abbott

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Working in our Data Engineering teams, you will collect and analyze data to develop robust ... Python, Scala, SQL development. * ETL data pipelines. * Designing and implementing data modeling ...

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI · On-site

$106K - $144K/yr

You'll develop deep knowledge of our data and support advanced analytics, including machine ... Optimize complex distributed workloads including SQL, Python, and Spark; mentor others on advanced ...

Farm Systems

Senior Data Engineer

Watertown, WI

$101K - $137K/yr

Develop and maintain Databricks pipelines and datasets using Python, Spark and SQL. * Drive the design and implementation of batch and streaming data lake architectures supporting both analytics and ...

Milwaukee Tool

Sr Data Engineer

Menomonee Falls, WI

$106K - $144K/yr

You'll develop deep knowledge of our data and support advanced analytics, including machine ... Optimize complex distributed workloads including SQL, Python, and Spark; mentor others on advanced ...

Abbott

Sr. AI Integration Analyst

Madison, WI · On-site

$78K - $156K/yr

... APIs, and Python. This position may include on-call responsibilities as part of a production ... Builds and maintains data pipelines that expose structured enterprise data for AI model development ...

Abbott

Sr. AI Integration Analyst

Madison, WI

$78K - $156K/yr

... APIs, and Python. This position may include on-call responsibilities as part of a production ... Builds and maintains data pipelines that expose structured enterprise data for AI model development ...

Abbott

Sr. AI Integration Analyst

Madison, WI · On-site

$78K - $156K/yr

... APIs, and Python. This position may include on-call responsibilities as part of a production ... Builds and maintains data pipelines that expose structured enterprise data for AI model development ...

KOHLS

Senior Data Engineer (Remote)

Menomonee Falls, WI · On-site

$123K - $162K/yr

... Python, and Scala. * Build and manage cloud-based data ecosystems on GCP (BigQuery, Bigtable ... Write complex SQL queries for advanced data transformation, aggregation, and analytics optimization ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

Improve operations by conducting systems analysis; recommending changes in policy and procedures ... Programming capabilities including C++, Java, Python is a plus but not necessary. Additional ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

Improve operations by conducting systems analysis; recommending changes in policy and procedures ... Programming capabilities including C++, Java, Python is a plus but not necessary. Additional ...

previous pagenext page

Showing results 21-40

All JobsPython Data Analyst JobsSenior Python Data Analyst JobsSenior Python Data Analyst Jobs in Watertown, WI

Senior Python Data Analyst information

See Watertown, WI salary details

$52.4K

$94.6K

$129.2K

How much do senior python data analyst jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior python data analyst in Watertown, WI is $94,610.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,000.00 and $103,400.00 per year, depending on experience, location, and employer.

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

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

What job categories do people searching Senior Python Data Analyst jobs in Watertown, WI look for?

The top searched job categories for Senior Python Data Analyst jobs in Watertown, WI are:

What cities near Watertown, WI are hiring for Senior Python Data Analyst jobs?

Cities near Watertown, WI with the most Senior Python Data Analyst job openings:

Senior Python Data Analyst jobs near you
Infographic showing various Senior Python Data Analyst job openings in Watertown, WI as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $94,610 per year, or $45.5 per hour.

Senior Data Engineer

Urus

Watertown, WI

$101K - $137K/yr

Full-time

Posted 9 days ago

Key responsibilities

  • Design, develop, and maintain data integration pipelines and processes on Databricks, including troubleshooting and optimizing performance.

  • Develop and maintain Databricks pipelines and datasets using Python, Spark, and SQL, supporting analytics and AI/ML workloads.

  • Collaborate with business users to understand data requirements and maintain reporting tools such as SSRS reports and dashboards.

Job description

This role is responsible for the design, development, and maintenance of data integration and reporting solutions. Working primarily in Databricks, you will build and maintain the pipelines and datasets that feed our reporting, analytics, and AI/ML workloads. The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This position requires a proactive and results-oriented individual with a passion for data and a strong understanding of data warehousing principles. A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is expected.

Responsibilities

Data Integration

  • Design, develop, and maintain robust and efficient ETL pipelines and processes on Databricks.

  • Troubleshoot and resolve Databricks pipeline errors and performance issues.

  • Troubleshoot and resolve SSIS package errors and performance issues.

  • Optimize data flow performance and minimize data latency.

  • Implement data quality checks and validations within ETL processes.

  • Maintain legacy SSIS packages for ETL processes.

Databricks Development

  • Develop and maintain Databricks pipelines and datasets using Python, Spark and SQL.

  • Drive the design and implementation of batch and streaming data lake architectures supporting both analytics and AI/ML workloads.

  • Optimize Databricks jobs for performance and cost-effectiveness.

  • Integrate Databricks with other data sources and systems.

  • Migrate legacy systems (e.g. SSIS packages, SQL Server procs) to Databricks pipelines.

Data Warehousing

  • Participate in the design and implementation of data warehousing.

  • Support data quality initiatives and implement data cleansing procedures.

Reporting and Analytics

  • Collaborate with business users to understand data requirements for department driven reporting needs.

  • Maintain existing library of complex SSRS reports, dashboards, and visualizations.

  • Troubleshoot and resolve SSRS report issues, including performance bottlenecks and data inconsistencies.

Collaboration and Communication

  • Comfortable in entrepreneurial, self-starting, and fast-paced environment, working both independently and with our highly skilled teams.

  • Collaborate effectively with business users, data analysts, and other IT teams.

  • Communicate technical information clearly and concisely, both verbally and in writing.

  • Document all development work and procedures thoroughly.

Continuous Growth

  • Keep abreast of the latest advancements in data integration, reporting, data engineering.

  • Actively contribute to company's AI-assisted tooling, strategies, and best practices.

  • Continuously improve skills and knowledge through training and self-learning.

Requirements

  • Bachelor's Degree in Computer Science, Information Systems, or a related field.

  • 7+ years of experience in data integration and reporting.

  • Extensive experience with Databricks, including Python, Spark, and Delta Lake

  • Experience with data warehousing concepts and best practices.

  • Strong proficiency with AI-assisted development tools.

  • Strong proficiency in SQL Server, including T-SQL, stored procedures, and functions.

  • Experience with SSIS (SQL Server Integration Services) development and maintenance.

  • Experience with SSRS (SQL Server Reporting Services) report design and development.

  • Experience with Microsoft Azure cloud platform and Microsoft Fabric desirable.

  • Strong analytical and problem-solving skills.

  • Excellent communication and interpersonal skills.

  • Ability to work independently and as part of a team.

  • Experience with Agile methodologies.

As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.


Apply