ES Data & Systems Program Senior Analyst

Salesforce•Indianapolis, IN

About The Position

The Data & Systems Program Analyst plays a critical role in supporting complex, high-visibility ES programs, serving as the bridge between technical teams, data stakeholders, and program leadership to ensure system changes are delivered with quality, alignment, and operational readiness.

Requirements

3–5 years of experience in HRIS, HR systems analysis, or HR technology program support roles.
Hands-on experience with Workday (HCM, Recruiting, Time), with familiarity in other HR systems such as Beqom or Salesforce.
Proven ability to write functional requirements and lead testing efforts.
Strong skills in system impact analysis, risk identification, and cross-team communication.

Nice To Haves

Experience supporting large-scale HR transformation or system implementation programs.
Familiarity with data quality frameworks and testing methodologies.
Experience in SOX-compliant or highly regulated environments.
Background in HR operations or case management support models.

Responsibilities

Partner with DET G4G technical teams, HRIS, and program stakeholders to plan and execute Workday G4G and other HR system changes for enterprise-level initiatives.
Write, refine, and test functional requirements in collaboration with program and technical teams.
Coordinate and run system dry runs, ensuring readiness for cutover and deployment.
Validate functionality and system impacts in partnership with Workday processing analysts and data quality teams.
Identify potential risks, dependencies, and data integrity issues, escalating to the Data Integration Lead and Data Program Manager as needed.
Provide clear, timely communication to the ES G4G program team regarding system changes, issues, risks, and dependencies.
Track Workday updates and enhancements relevant to the program, communicating operational and data impacts.
Serve as the liaison between technical configuration teams, data teams, and program stakeholders to ensure alignment on scope, timelines, and handoffs.
Work closely with Data Program Managers to ensure data sequencing and readiness activities are integrated into program plans.
Collaborate with operational teams to confirm process alignment post-launch.