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Senior Data Analyst Developer Jobs in Madison, WI

Pandata Group

Data Integration Developer

Madison, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Pandata Group is a cloud-first data analytics services firm that builds data-driven communities ... Exposure to developer tools/ workflow (e.g. git/github, SSH) * Knowing how to get around a command ...

Faith Technologies

Senior Supply Chain ERP Analyst

Madison, WI · Hybrid

$79K - $97K/yr

Cares about leading the way in construction, engineering, manufacturing and renewable energy. Cares ... The role is responsible for ensuring purchasing data integrity, supporting procurement operations ...

SSM Health

Financial Analyst Senior

Madison, WI · On-site

$86K - $107K/yr

As a Financial Analyst Senior , you'll analyze complex financial data, develop forecasts and budgets, identify opportunities for operational improvement, and provide actionable insights to leadership.

Trustage

Senior Analyst, Analytics

Madison, WI · On-site

$88K - $117K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Works with data & engineering teams to translate complex business data requirements into data model ... Ability to provides basic datasets to analyst teams for exploratory analysis. * Reporting and BI:

Wisconsin

Research Data Engineer

Madison, WI

$82K/yr

  • Retirement

  • PTO

Data Engineer I Job Summary: The Center for Health Disparities Research (CHDR), led by Director Dr ... Implements data analysis steps in collaboration with data scientists, statisticians, and/or other ...

Munich Re

Technical Architect - Data, Analytics & AI

Madison, WI · Hybrid

$64.25 - $82.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure ... Enterprise data management, analytics, and AI technology landscape * Strong problemsolving skills ...

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site

$120K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

As a Data Engineer , you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence ...

Compeer Financial

Senior Strategy Analyst

Sun Prairie, WI · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... gather data, validate assumptions, and ensure alignment on strategic analysis and business ... Bachelor's degree in business, economics, finance, engineering, or related field or an equivalent ...

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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 Aug 16, 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.

How much is a senior data analyst developer paid?

A senior data analyst developer typically earns between $80,000 and $120,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, or R, and may hold certifications like Certified Analytics Professional (CAP). Compensation can vary based on company size and complexity of projects.

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 DevOps Analyst

Madison Gas and Electric Company

Madison, WI • On-site

$131K - $168K/yr

Full-time

Re-posted 9 days ago

Job description

Position Purpose
The Senior DevOps Analyst is responsible for leading the strategy, implementation, and continuous improvement of the organization's DevOps platforms, infrastructure, leveraging AI functionality to increase productivity, and engineering toolsets. This role owns the DevOps roadmap, partnering with leadership to prioritize initiatives, evaluate emerging technologies, and drive adoption of modern software delivery practices across the enterprise.
Working closely with IT and business teams, this position designs and implements secure, scalable solutions including CI/CD pipelines, source control platforms, infrastructure automation, deployment orchestration, and developer tooling. The role helps teams automate processes, improve delivery efficiency, and adopt DevOps best practices.
A strong focus on security is essential, ensuring DevOps platforms, processes, and automation solutions align with enterprise security standards and secure-by-design principles. The role also contributes to governance and SDLC practices for emerging technologies, including AI-assisted development and AI-enabled solutions.
Core Responsibilities
Note: This is not an all-inclusive listing.
  • DevOps strategy and roadmap: Lead DevOps best practices, maintain the DevOps roadmap, and help development teams mature their use of modern development tools and processes.
  • Azure DevOps and GitHub enablement: Support and maintain Azure DevOps tools, automations, pipelines, and related processes. Help development groups establish repositories, adopt GitHub, and improve their development workflows.
  • CI/CD and automation: Design, implement, and maintain CI/CD pipelines that enable reliable application deployment. Identify opportunities to automate development, testing, deployment, and operational processes.
  • AI and emerging technology adoption: Evaluate and integrate emerging technologies in AI, automation, and DevOps to improve system capabilities and developer productivity. Partner with product and development teams to responsibly leverage AI functionality in development processes and production systems.
  • AI agent platform, SDLC, and governance: Help establish and lead the lifecycle for AI agents, including platform ownership, SDLC practices, standards, security, compliance, and governance for users developing and deploying AI agents.
  • Observability and operational reliability: Ensure systems are supported by appropriate logging, monitoring, and alerting practices, including solutions tailored to AI-enabled and distributed systems.
Behavioral Competencies
(Note: These are in addition to MGE's Core Competencies)
  • Manages Complexity - Navigates sophisticated technical environments and ambiguous AI challenges effectively.
  • Drives Results - Consistently delivers high-quality, scalable solutions in fast-paced environments.
  • Collaborates - Builds strong partnerships across engineering, data science, and business teams.
  • Instills Trust - Gains credibility through technical expertise and reliable execution.
  • Strategic Mindset - Anticipates future AI/technology trends and aligns solutions with long-term objectives.
Skills
  • Advanced proficiency in cloud platforms (Azure)
  • Strong experience with CI/CD tools (Azure Pipelines, GitHub Actions, etc.)
  • Experience with AI-assisted development tooling (GitHub Copilot)
  • Experience with AI frameworks (Copilot Studio)
  • Knowledge of LLMs, agent frameworks, and prompt orchestration
  • Proficiency in infrastructure as code (Terraform)
  • Strong scripting/programming skills (PowerShell, Python, etc.)
  • Advanced knowledge in DevSecOps and implementing secure SDLC practices and tools (GitHub Advanced Security, SonarQube, etc.)
Education
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field required
  • Relevant certifications preferred (e.g., Microsoft Certified DevOps Engineer Expert, AI/ML certifications)
Experience
  • 7+ years of experience in DevOps
  • 2+ years of experience supporting AI systems in production environments
  • Demonstrated experience with agent-based systems, LLM deployment, or advanced automation frameworks preferred

Work Location
  • This hybrid role is based at our Madison, WI headquarters. While three days onsite is the minimum, team collaboration and business needs may require additional in-office presence.

Pre-employment will require satisfactory completion of a background check and drug screen.
We are an AA/EOE employer and consider all qualified candidates without regard to protected status.

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