Responsibilities of the Candidate:

Collect, cleanse and integrate workforce data so project baselines can be validated before people and position changes are prepared for execution.
Apply validation and quality controls to identify data gaps, inconsistencies and anomalies before changes are batched, sequenced or submitted.
Structure workforce data to support accurate batching, sequencing and execution of change in SuccessFactors.
Analyse and report on change execution outcomes, including success rates, errors and opportunities to improve quality for Workforce Governance and other teams executing similar SuccessFactors changes.
Partner with Workforce Governance Advisors, Talent and Culture Business Partners, Organisational Design leads, business project leads and Employee Central teams to deliver complex changes aligned to project milestones.

Requirements:

Strong data literacy, data analysis and data management capability, with experience working with complex datasets and quality controls.
Hands-on experience in Advanced Excel and Python
Hands-on experience with Qualtrics
Ability to cleanse, validate, reconcile and structure data so it can be used reliably in operational processes and reporting.
Strong communication skills, with the ability to explain data issues, risks, insights and improvement opportunities to technical and non-technical stakeholders.
Business acumen and attention to detail, with the ability to understand how workforce data changes affect downstream processes, reporting and controls.
Experience with reporting, data quality analysis, process improvement or operational analytics in a complex business environment.
Knowledge of SuccessFactors, HRIS processes, position management, foundation data architectures or workforce governance controls would be highly regarded.