Senior Data Quality Analyst, Master Data – Procurement Services
United States
Full Time
1 week ago
$98,000 - $134,000 USD
Key skills
AnalyticsLeadership
About this role
Role Overview
Define, document, and maintain data quality rules, validation checks, and acceptance criteria for procurement of master data elements (e.g., Service Codes, Vendor IDs, contract terms, material attributes).
Develop and implement scalable data quality frameworks that integrate both preventative and detective controls.
Collaborate with business SMEs, data stewards, and IT partners to set thresholds, standards, and KPIs for data quality measurement.
Design and operationalize data quality dashboards and reports to monitor data health, trends, and compliance against standards.
Collect, analyze, and present data quality metrics and insights to leadership and stakeholders, identify patterns, risks, and opportunities for improvement.
Track and escalate data issues using structured issue tracking and remediation workflows.
Perform regular data profiling, completeness checks, and anomaly detection to validate data quality against business rules and governance standards.
Conduct root cause analysis to identify systemic issues and propose corrective actions with process owners and technology teams.
Support and enforce data governance policies and master data standards across procurement systems, ensuring alignment to enterprise frameworks.
Participate in governance forums and working groups to formalize stewardship roles, responsibilities, and data quality accountability.
Lead process improvement initiatives to eliminate data quality gaps and reduce manual intervention.
Requirements
Minimum Bachelor's degree in Computer Science, MIS, Business Analytics, or related field (or equivalent experience).
5+ years of experience in data quality, master data management (MDM), or data governance roles supporting enterprise data functions.
Strong understanding of data quality dimensions such as accuracy, completeness, consistency, validity, and timeliness.
Demonstrated experience writing and implementing data quality rules, validations, and thresholds.
Experience with data profiling, analytics, and quality reporting tools.