Senior Systems Analyst, Workday Data Modeling & Configuration
AI summary of the role
This role is responsible for maintaining and optimizing Workday foundational data structures, configuring business processes, and supporting data integrity across HR, Finance, and other institutional systems at Northeastern University.
No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.
What you’ll do
- Configure and maintain Workday business processes, notifications, and approval workflows across all modules
- Manage organizational structures, supervisory organizations, and cost center hierarchies
- Conduct requirements gathering sessions and analyze business processes for optimization
- Create and maintain EIB templates for data imports/exports and troubleshoot data loads
What you’ll bring
- Bachelor's degree in Information Systems, Business Administration, Computer Science, or related field
- 3-5 years of Workday configuration experience
- Demonstrated expertise with Workday HCM, Finance, and Payroll modules
- Expert knowledge of Workday business process configuration and optimization
Technologies
Workday HCM · Workday Finance · Workday Payroll · EIB · Calculated Fields · Custom Reports · BIRT · Workday Studio · ServiceNow · ITIL
About Northeastern University
Private R1 research university built on experiential co-op education, operating a globally distributed campus network across 13+ US and international cities.
Bootstrapped · 5000+ people
Source and classification
Internal deployment & tooling · Evidence for this classification:
About the Opportunity Job Summary The Workday System Analyst, Data Modeling & Configuration is responsible to maintain and optimize Workday foundational data structures (supervisory orgs, job catalog, positions, cost centers, academic/administrative hierarchies). Conduct regular data audits, resolve inconsistencies, and ensure alignment across HR, Finance, and other institutional systems. Configure and maintain Workday business processes, calculated fields, condition rules and support data mappings and crosswalks. Follow established IT change control procedures, maintain documentation, ensure consistent data definitions and support testing cycles. 24/7 business continuity: This role requires availability outside of traditional working hours on a rotating basis to ensure continuous operation of critical AI systems and platforms. Responsibilities include monitoring system health,
More from the job description
About the Opportunity Job Summary The Workday System Analyst, Data Modeling & Configuration is responsible to maintain and optimize Workday foundational data structures (supervisory orgs, job catalog, positions, cost centers, academic/administrative hierarchies). Conduct regular data audits, resolve inconsistencies, and ensure alignment across HR, Finance, and other institutional systems. Configure and maintain Workday business processes, calculated fields, condition rules and support data mappings and crosswalks. Follow established IT change control procedures, maintain documentation, ensure consistent data definitions and support testing cycles. 24/7 business continuity: This role requires availability outside of traditional working hours on a rotating basis to ensure continuous operation of critical AI systems and platforms. Responsibilities include monitoring system health, responding to alerts, troubleshooting performance issues, and implementing emergency fixes as needed. The ideal candidate must be able to quickly diagnose and resolve AI system and platform incidents, prioritize issues based on business impact, and coordinate with technical teams to restore service. A strong commitment to system reliability and service continuity is essential for success in this position. Other duties as required: This role requires flexibility in performing duties outside of th [... source excerpt omitted ...] n and real-time communication. *Applicants must be authorized to work in the United States. The University is unable to work sponsor for this role, now or in the future. Minimum Qualifications Education: Bachelor's degree in Information Systems, Business Administration, Computer Science, or related field required. Experience: 3-5 years of Workday configuration experience Demonstrated expertise with Workday HCM, Finance, and Payroll modules Background in higher education ERP systems strongly preferred Experience with Workday Student a plus Technical Competencies: Expert knowledge of Workday business process configuration and optimization Proficiency with Workday tools: Busine [... source excerpt omitted ...] red Skills: Strong understanding of higher education business processes (academic, HR, finance) Excellent analytical and problem-solving abilities Ability to translate business requirements into technical solutions Strong collaboration skills and ability to work effectively in team environments Excellent documentation and communication skills Strong organizational skills with ability to manage multiple priorities Experience with change management and ITIL processes Preferred Qualifications Workday Certification (HCM, Financials, or Student) Workday Pro or Partner certification Additional Workday module certifications (Absence, Benefits, Recruiting, Learning, Compensation)
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