Data Quality Analyst
Core
Enhancing the accuracy, consistency, and reliability of procurement data used for spend analytics, sourcing decisions, and category reporting.
Role type
Global Procurement Data Quality Analyst
Builds
Spend analytics, sourcing decisions, procurement category reporting
Domain
Procurement / Supply Chain
Deliverable
production ML models | dashboards & analysis
Required skills
Data profiling, data validation, data cleansing (deduplication, standardization, normalization), SQL, Power BI, Alteryx, AI/ML model evaluation, spend classification, stakeholder collaboration
Preferred skills
Procurement domain knowledge (spend analytics, supplier data, category management), AI/ML concepts
Technologies
Excel, Power BI, SQL, Alteryx, AI-enabled tools
Responsibilities
Conduct assessments of master and transactional data using procurement spend tools; Identify data quality issues, gaps, and inconsistencies; Research, collect, analyze, and draw conclusions from procurement data; Review supporting details for spend recategorization and classification improvement; Evaluate AI-enabled classification outputs and provide feedback to improve accuracy; Execute data cleansing activities; Collaborate with data owners and cross-functional stakeholders to resolve data issues; Communicate findings and recommendations to procurement leaders; Maintain documentation of data quality findings and actions; Support continuous improvement initiatives.
Seniority
Mid-Senior, hands-on IC