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Senior Data Analyst Developer Jobs in Madison, WI

Urus

Senior Data Engineer

Watertown, WI · On-site

$101K - $137K/yr

A strong grasp of AI-assisted development tools as a regular part of the engineering workflow is ... Reporting and Analytics * Collaborate with business users to understand data requirements for ...

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 ...

1 point system

Senior Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Python (PySpark preferred) Data Platforms / Storage * Cloud data platforms (Azure preferred; AWS/GCP acceptable) * Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent * Object storage-based data ...

Abbott

Director, Data Engineering

Madison, WI · On-site

As the Director, Data Engineering , you'll serve as Cancer Diagnostics' senior data executive - setting the enterprise data strategy, governance model, and analytics roadmap that shape how the ...

Abbott

Director, Data Engineering

Madison, WI · On-site

As the Director, Data Engineering , you'll serve as Cancer Diagnostics' senior data executive - setting the enterprise data strategy, governance model, and analytics roadmap that shape how the ...

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All JobsData Analyst Developer JobsSenior Data Analyst Developer JobsSenior Data Analyst Developer Jobs in Madison, WI

Senior Data Analyst Developer information

See Madison, WI salary details

$55.4K

$100K

$136.5K

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

As of Sep 6, 2026, the average yearly pay for senior data analyst developer in Madison, WI is $99,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,700.00 and $109,300.00 per year, depending on experience, location, and employer.

What does a senior data analyst developer do?

A Senior Data Analyst Developer is responsible for analyzing complex data sets, designing and developing data models, and creating reports or dashboards to help organizations make data-driven decisions. They often work closely with stakeholders to understand business needs, translate requirements into technical solutions, and optimize data workflows. Additionally, they may mentor junior analysts, ensure data quality, and utilize advanced programming or scripting skills to automate data processes.

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

To thrive as a Senior Data Analyst Developer, you need advanced skills in data analysis, programming (such as Python or SQL), and a strong background in statistics or computer science, often supported by a relevant degree. Experience with business intelligence tools (like Tableau or Power BI), data warehousing systems, and possibly certifications in data analytics or cloud platforms is highly valued. Strong problem-solving skills, attention to detail, and effective communication make candidates stand out in this role. These skills and qualities are vital to accurately interpret complex data, derive actionable insights, and effectively communicate findings to stakeholders, driving better business decisions.

How does a senior data analyst developer typically collaborate with cross-functional teams?

As a Senior Data Analyst Developer, you'll frequently work alongside data engineers, business analysts, product managers, and stakeholders from non-technical departments. Collaboration often involves translating business requirements into analytical solutions, sharing insights through dashboards or reports, and providing technical guidance to less experienced team members. Effective communication and a proactive approach to gathering requirements and sharing feedback are key to ensuring that data-driven solutions align with organizational goals. You may also participate in code reviews, data architecture discussions, and project planning sessions to ensure seamless integration of analytics across the company.

What is the difference between Senior Data Analyst Developer vs Data Engineer?

AspectSenior Data Analyst DeveloperData Engineer
CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; often certifications in SQL, Python, or data analysis toolsBachelor's or Master's in Computer Science, Software Engineering, or related fields; certifications in cloud platforms, SQL, or data pipeline tools
Work EnvironmentCollaborates with data analysts, business teams, and developers to analyze and develop data solutionsBuilds and maintains data infrastructure, pipelines, and architecture for data storage and processing
Industry UsageCommonly employed in finance, healthcare, and tech sectors for data analysis and reportingUsed across industries for designing scalable data systems and managing big data infrastructure

While both roles involve working with data, the Senior Data Analyst Developer focuses on analyzing data and developing data-driven applications, whereas Data Engineers primarily build and maintain the infrastructure that enables data analysis and storage.

What are the most commonly searched types of Data Analyst Developer jobs in Madison, WI?

The most popular types of Data Analyst Developer jobs in Madison, WI are:

What are popular job titles related to Senior Data Analyst Developer jobs in Madison, WI?

For Senior Data Analyst Developer jobs in Madison, WI, the most frequently searched job titles are:

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

The top searched job categories for Senior Data Analyst Developer jobs in Madison, WI are:

Senior Data Analyst Developer jobs near you
Infographic showing various Senior Data Analyst Developer job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $99,988 per year, or $48.1 per hour.

Senior Data Engineer

Urus

Watertown, WI • On-site

$101K - $137K/yr

Full-time

Posted 12 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.


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