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Data Integration Analyst Jobs in Wisconsin (NOW HIRING)

Tempus

Sr. Integration Analyst

Madison, WI · Hybrid

Lead technical design, build, and deployment of Epic integrations, particularly through Aura ... and data sharing workflows. * Collaborate with hospital IT teams, Epic representatives, and ...

Cloud BC Labs

IICS Architect

Milwaukee, WI · On-site

Optimize data integration jobs for performance, scalability, and reliability. * Work closely with Data Architects, Business Analysts, and application teams to understand integration requirements.

Shine United

Data Analyst

Madison, WI · On-site

  • Medical

  • Dental

  • Life

  • Retirement

Familiarity with CRM data integration and customer journey analysis. COMPENSATION & BENEFITS: Competitive salary based on experience. Benefits package includes: fully paid health, dental, life and ...

Shine United

Data Analyst

Madison, WI

  • Medical

  • Dental

  • Life

  • Retirement

Familiarity with CRM data integration and customer journey analysis. COMPENSATION & BENEFITS: Competitive salary based on experience. Benefits package includes: fully paid health, dental, life and ...

CYNET SYSTEMS

Data Architect

Racine, WI · On-site

$67/hr

Expertise in ETL/ELT Design Patterns, Data Integration Architecture, Data Transformation Frameworks, Data Quality and Reconciliation. * Experience designing cloud-based analytics solutions. Founded ...

Kwik Trip, Inc.

Master Data Analyst

La Crosse, WI · On-site

$66K - $99K/yr

  • Medical

  • Retirement

  • PTO

This position is not eligible for sponsorship Data Analyst - Master Data & Enterprise Reporting ... Create and maintain ETL jobs using tools such as Microsoft SSIS, Informatica ETL, and SAS DataFlux.

Carroll University

Sr. Data Analyst

Waukesha, WI · On-site +1

$86K - $108K/yr

Experience with data warehousing, ETL/integration processes, or cloud analytics platforms ... Knowledge of data governance, compliance, and privacy practices. Exposure to predictive analytics ...

Munich Re

Technical Architect - Data, Analytics & AI

Fond Du Lac, WI · Hybrid

$62.75 - $80.75/hr

  • Medical

  • Life

  • Retirement

  • PTO

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

Munich Re

Technical Architect - Data, Analytics & AI

La Crosse, WI · Hybrid

$62.50 - $80.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

Munich Re

Technical Architect - Data, Analytics & AI

Green Bay, WI · Hybrid

$62 - $79.75/hr

  • Medical

  • Life

  • Retirement

  • PTO

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

Munich Re

Technical Architect - Data, Analytics & AI

Madison, WI · Hybrid

$64.25 - $82.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

Data Modeling, Data Integration, Analytics and AI lifecycle management * Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives ...

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Showing results 21-40

All JobsData Integration Analyst JobsData Integration Analyst Jobs in Wisconsin

Data Integration Analyst information

See Wisconsin salary details

$21.2K

$89.1K

$168.1K

How much do data integration analyst jobs pay per year?

As of Aug 16, 2026, the average yearly pay for data integration analyst in Wisconsin is $89,076.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,100.00 and $112,500.00 per year, depending on experience, location, and employer.

What does a data integration analyst do?

As a data integration analyst, you perform a variety of duties related to improving and normalizing data. Your job duties include scrubbing data, writing testing scripts, performing quality control on data and data storage, and enabling data access. You ensure all computer programs are able to integrate collected data. A career as a data integration analyst requires you have some formal qualifications and education, typically at least a bachelor’s degree in information technology (IT) or a related field. You should have some prior work experience in IT, strong analytical problem-solving skills, and excellent attention to detail.

What is the difference between Data Integration Analyst vs Data Engineer?

AspectData Integration AnalystData Engineer
Required SkillsData analysis, SQL, ETL tools, data mappingProgramming (Python, Java), database architecture, data pipeline development
CertificationsSQL certifications, data management certificationsCloud certifications (AWS, GCP), programming certifications
Work EnvironmentBusiness intelligence teams, data analysis departmentsData engineering teams, software development environments
Industry UsageFinance, healthcare, retailTechnology, finance, large-scale data platforms

While both roles involve working with data, Data Integration Analysts focus on consolidating and analyzing data from various sources using ETL tools and SQL. Data Engineers build and maintain the infrastructure and pipelines that enable data flow across systems. The roles often collaborate but differ in technical depth and scope.

What is a data integration analyst?

A Data Integration Analyst is a professional who specializes in combining data from different sources to create a unified view for analysis and reporting. They work with various databases, applications, and data formats to ensure information flows seamlessly across systems. Their role often includes designing and maintaining data pipelines, troubleshooting integration issues, and ensuring data quality and consistency. Data Integration Analysts play a key role in helping organizations make informed decisions by providing accurate and comprehensive data.

What are some common challenges faced by data integration analysts when working with disparate data sources?

Data Integration Analysts often encounter challenges such as inconsistent data formats, varying data quality, and incomplete documentation across different systems. Collaborating with IT, business stakeholders, and external vendors to understand source data and resolve discrepancies is a frequent part of the job. Managing these complexities requires strong problem-solving skills, attention to detail, and effective communication to ensure accurate and efficient data integration.

What are the key skills and qualifications needed to thrive as a data integration analyst, and why are they important?

To thrive as a Data Integration Analyst, you need strong analytical skills, proficiency in data modeling, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Familiarity with ETL tools (such as Informatica or Talend), SQL, and data integration platforms is typically required, as well as knowledge of APIs and data warehousing solutions. Attention to detail, problem-solving abilities, and effective communication are valuable soft skills that help in collaborating with diverse teams and stakeholders. These competencies are crucial for ensuring seamless data flow, accurate reporting, and strategic decision-making within organizations.
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Data Integration Analyst jobs near you
Infographic showing various Data Integration Analyst job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $89,076 per year, or $42.8 per hour.

Sr. Integration Analyst

Tempus

Madison, WI • Hybrid

Full-time

Posted 18 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

Responsibilities:

  • Lead technical design, build, and deployment of Epic integrations, particularly through Aura, supporting ordering, results delivery, and data sharing workflows.

  • Collaborate with hospital IT teams, Epic representatives, and clinical end users to define requirements and provide support during and after Epic Aura integration projects.

  • Manage end-to-end testing cycles, including unit, regression, and integrated testing, to validate system changes and enhancements.

  • Act as a subject matter expert (SME) for clinical application functionality and provide training or guidance to end-users and junior analysts.

  • Support go-live initiatives and provide tiered production support to resolve application-specific issues in a timely manner.

  • Document workflows, specifications, and best practices for repeatable deployments.

Required Skills and Qualifications:

  • 5+ years of experience in healthcare IT, with at least 3 years of hands-on build experience in Epic modules.

  • Epic certification in Beaker, Ambulatory, Interconnect, Bridges, Care Everywhere, or a related module.

  • Proven track record of supporting clinical or lab ordering and results interfaces.

  • Excellent troubleshooting, problem-solving, and communication skills.

  • Ability to manage multiple projects in a fast-paced environment with competing priorities.


Nice to Have:

  • Strong understanding of HL7, FHIR, and Epic interoperability tools.

  • Direct experience with Epic Aura deployments and workflows.

  • Experience with hereditary, oncology, lab workflows, or clinical decision support integrations.

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