Data Quality and AI Readiness Product Analyst
$912,000–$13,680,000 year
HybridBudapest, Budapest, Hungary
Job Summary
Assess downstream impacts of data quality issues across payroll, reporting, integrations, and AI model inputs. Conduct structured root cause analyses to distinguish isolated errors from systemic issues requiring process or configuration intervention. Partner with Global Process Owners and Workday teams to define structural fixes, translate business requirements into technical specifications, and execute remediation loads per governance standards. Monitor global HR data standard adoption, flag local deviations, and escalate risks to AI readiness and reporting accuracy. Design automated validation routines and anomaly detection scripts to reduce manual checks. Produce structured investigation outputs detailing issues, root causes, risks, and recommendations.
Required Qualifications
- 3–5 years of experience in data quality, data governance, HR data management, or a related analytical role
- Demonstrated experience working with Workday HCM or comparable enterprise HR platforms
- Proven track record of conducting data investigations and delivering structured, actionable findings
- Experience working in a global, matrixed organization with cross-functional stakeholders
- Proficiency in data analysis tools such as Excel/Power Query, SQL, or equivalent
- Experience with Workday reporting, calculated fields, and data auditing capabilities
- Familiarity with data remediation processes, including mass data loads and EIB (Enterprise Interface Builder) or equivalent
- Understanding of HR data domains: employee records, organizational structures, compensation, payroll inputs, and workforce reporting
- Exposure to AI/ML data readiness concepts and understanding of how data quality impacts model performance
- Experience with data quality platforms or monitoring tools (e.g., Informatica, Collibra, Ataccama, or similar)
- Experience with scripting or automation (e.g., Python, Power Automate, or equivalent) for data validation purposes
- Knowledge of GDPR, data privacy regulations, and their implications for HR data management
- Strong analytical and problem-solving skills, with the ability to decompose complex data issues and identify root causes with precision
- Strong communication skills, with the ability to translate complex data findings into clear narratives for both technical teams and senior leadership
- Strong interpersonal skills, with the ability to build effective working relationships across HR, Finance, Payroll, and IT
- Degree in Information Systems, Data Management, Human Resources, Business Administration, or a related field
Desired Qualifications
- Workday certification or formal training
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