Live opening · Posted 3 days ago
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About the role
Description supplied by the original job listing.
Analyze HR data models, business processes, and data flows across Workday, SuccessFactors/Summit, Qualtrics, Talent Acquisition, Skills, and related HR platforms to identify critical data quality requirements.
• Exposure to write Sql’s in DataBricks and validate data.
• Perform data profiling, source-to-target analysis, and sample data assessments to identify data anomalies, completeness gaps, accuracy issues, and integrity risks.
• Define, document, and maintain Data Quality (DQ) rules, validation checks, thresholds, and monitoring metrics aligned to business requirements and enterprise data governance standards.
• Review and assess Critical Data Elements (CDEs) to establish data quality controls for completeness, validity, consistency, uniqueness, timeliness, and accuracy.
• Collaborate with HR business stakeholders, data stewards, functional teams, and technology teams to translate business requirements into actionable data quality rules and controls.
• Conduct root cause analysis of data quality issues and recommend remediation strategies, process improvements, and preventive controls to improve overall HR data health.
• Support the development of data quality scorecards, KPI frameworks, certification processes, and governance dashboards for enterprise HR datasets.
• Create and maintain business requirements, functional specifications, data dictionaries, rule inventories, and test scenarios to support implementation, UAT, and ongoing data quality operations.
Work arrangement
Yes
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