Senior Workday Technical Analyst
HybridMcKinney, Texas, United States
Job Summary
Design, develop, and maintain Workday integrations including inbound, outbound, and point-to-point solutions using Core Connectors, EIBs, Studio, and APIs. Monitor integration performance, troubleshoot errors, and implement corrective actions to ensure data accuracy and system reliability. Build and maintain Workday Prism data pipelines and transformation logic to support advanced analytics and enterprise reporting. Evaluate and leverage AI-assisted tools to improve operational efficiency, requirements analysis, and solution design while adhering to data privacy and governance standards. Support Workday biannual releases by assessing impacts, executing testing, and validating post-release performance. Partner with internal teams and vendors on integration setups, upgrades, and ongoing support to deliver scalable, user-friendly data solutions.
Required Qualifications
- Bachelor's degree in Information Systems, Computer Science, Data Analytics, or a related field, or equivalent experience
- Workday PRO Certification or a minimum of 3 years of hands-on experience in one or more of the following areas: Workday Integrations, Workday Prism Analytics, Workday Studio, Workday EIBs and Core Connectors
- Strong understanding of data structures, transformations, and integration patterns
- Experience troubleshooting complex data and integration issues across systems
- Working knowledge of security concepts related to data movement and access controls
- Excellent written and verbal communication skills with the ability to explain technical concepts to non-technical stakeholders
- Minimal travel required; occasional travel for collaboration, training, or project-related meetings as needed
- Hybrid work environment based out of SRS Heritage Group's Corporate Office in McKinney, TX
Desired Qualifications
- Experience integrating Workday with payroll vendors, benefits providers, financial systems, or learning platforms
- Advanced experience with Workday Prism transformations and calculated fields
- Familiarity with APIs, web services, and file-based integrations
- Exposure to HR, Payroll, or Finance data and business processes
- Experience supporting large-scale HRIS or ERP environments
- Experience using Microsoft Copilot, Workday AI, or comparable AI-assisted productivity tools
- Understanding of Responsible AI practices, governance, and data privacy requirements
- Experience applying AI-assisted analysis to HR, Payroll, Finance, or enterprise data
- Familiarity with predictive analytics, anomaly detection, and AI-enhanced reporting
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