Data Quality & AI Readiness Product Analyst

Stack

Responsibilities

• ▹Assess and document downstream impact of Skills and Job Architecture data quality issues across payroll processing, management reporting, third-party integrations, and AI/machine learning model inputs
• ▹Monitor ongoing adoption of global data standards across regions, business units, and functional teams, with particular focus on Skills and Job Architecture taxonomy data consistency in Workday
• ▹Conduct structured root cause analyses to distinguish isolated errors from systemic issues
• ▹Use Python scripting and SQL to conduct deep-dive data profiling and root cause investigations across Workday and Snowflake data assets
• ▹Build reusable investigation toolkits and diagnostic scripts to accelerate root cause analysis
• ▹Support organizational cloning and data standardization initiatives through fact-based investigation, evidence gathering, and data profiling
• ▹Execute data analysis and mapping for Workday Optimization and other relevant projects
• ▹Design and build automated Skills and Job Architecture data quality pipelines using Python to validate, profile, and monitor at scale, integrated into the Data Foundation (Snowflake)