Junior Data Analyst
- Document and maintain source → target mappings (tables, fields, transformations, acceptance criteria) for UKG → Workday objects
- Perform data profiling and DQ checks (row counts, nulls, duplicates, value ranges, PK/FK integrity) using Excel, SQL, and basic Python/pandas
- Target-side (Workday) execution: Prepare and validate Workday EIB spreadsheet loads; reconcile results using Workday reports/RaaS; handle CSV/JSON/XML exchanges via SFTP/FTP/ as provided by integration teams
- Source-side (UKG) reality: Work with UKG extracts/APIs (Pro and/or Dimensions) supplied by engineering or vendors; validate mappings and transformed datasets prior to Workday load
- Create and run validation test cases across conversion stages; log results/defects and drive to closure
- Produce audit-ready evidence packages (before/after counts, reconciliations, screenshots/artifacts, sign-off materials)
- Capture action items from workshops; update trackers (Jira/Confluence/SharePoint) promptly and communicate status clearly
- Partner with integration teams (internal/vendor) to align on assumptions, formats, and timelines; not expected to design/build Workday Studio or iPaaS—your focus is data prep, profiling, and post-load validation
- 1–3 years in data analysis, reporting, QA, or business analytics (internships/co-ops count)
- Strong Excel skills (lookups, pivots, text/date functions; comfortable with large datasets)
- Working SQL (select, joins, filters, aggregates) and introductory Python/pandas (or fast learner)
- Understanding of core data quality concepts (completeness, accuracy, consistency, lineage)
- Clear written/verbal communication; ability to summarize findings for non-technical stakeholders
- Experience in Financial Services or other regulated environments (banking/cards/lending/deposits)
- Exposure to Workday HCM (EIB templates, RaaS/reporting) and UKG (Pro/Dimensions) data domains
- Experience writing S2T mapping docs and test cases
- Familiarity with Power BI or similar for quick investigations/visual checks
- Awareness of data controls/governance (reconciliations, approvals, audit trails)
- iPaaS familiarity (MuleSoft, Boomi, Informatica, SnapLogic)—enough to read logs/understand job runs; not required to build
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