We are looking for an experienced Payroll Data Analyst who can work with Downer's real data across Oracle HCM, Kronos, SAP, JD Edwards and ServiceNow. The role involves obtaining and profiling data extracts, defining what the platform needs to read from each source, establishing baselines and validating the prototype against actual payroll results.
Key Responsibilities:
- Obtain and profile real extracts from Oracle HCM, Kronos, SAP and JDE pay results, ServiceNow tickets, and document each source's fields, volumes and quality.
- Agree the classification per data set with Downer Cyber, defining what is tokenised and who may see it.
- Specify the HCM objects, fields, extracts and Atom feeds the platform needs, the drift by attribute and the starter and change field sets per payroll.
- Build the de-identified validation set using real people, periods and their actual pay results, and run comparisons against the prototype's engine with the AI Engineer, classifying every difference.
- Define the target data model, finance feed format and reconciliation the platform must pass.
Required Skills:
- SQL and data profiling over raw payroll and time extracts.
- Reconciliation and data quality experience with payroll data.
- Oracle HCM Cloud data, HCM Extracts or REST resources, from an integration or migration.
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Zone IT Solutions is an equal chance employer and our recruitment process focuses on essential skills and abilities. We encourage applications from a diverse array of backgrounds, including individuals of various ethnicities, cultures, and linguistic backgrounds, as well as those with disabilities.
📌 Payroll Data Analyst (Melbourne)
🏢 Zone IT Solutions
📍 Melbourne