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# Application Systems Analyst

- **Company:** Abbott Laboratories
- **Location:** Madison, WI, United States
- **Salary:** $104,000.0 - $136,000.0
- **Contract:** Permanent contract
- **Skills:** Application Configuration Access Protocols, Business Software, Database Queries, SQL Databases, Systems Integration
- **Published:** October 6, 2026
- **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3008167254-2

## About the Role

* Application configuration
 * SQL and database querying
 * Systems integration
 * Requirements gathering
 * Business process analysis
 * Testing and validation
 * Troubleshooting and incident management
 * Documentation
 * Report development/BI tools
 * Change management in regulated environments

## Description

Abbott Laboratories seeks an Application Analyst to support, configure, and enhance critical applications across our biotechnology and pharmaceutical operations. In this role, you will partner with clinical, laboratory, and business stakeholders to gather requirements, optimize workflows, and ensure data quality and compliance. Responsibilities include troubleshooting issues, managing upgrades and integrations, documenting configurations, and supporting end users. You'll contribute to innovative, life-changing healthcare solutions in a collaborative, growth-focused culture with strong development opportunities and competitive benefits., * Configure, maintain, and optimize clinical and business applications supporting biotech and pharmaceutical operations

 * Partner with stakeholders to gather requirements and translate them into application solutions and enhancements
 * Troubleshoot and resolve application incidents, performance issues, and data discrepancies
 * Support upgrades, patches, and integrations while ensuring system stability and compliance
 * Document configurations, workflows, and technical procedures for knowledge sharing and audit readiness
 * Assist with testing, validation, and change management in a regulated environment
 * Train and support end users to improve adoption, efficiency, and data quality