The Product Data Quality Analyst is responsible for ensuring the accuracy, completeness, consistency, and reliability of product-related data across systems and platforms. This role works closely with product, merchandising, engineering, and operations teams to maintain high data quality standards that support business decision-making and customer experience.
Key Responsibilities
- Monitor, validate, and audit product data for accuracy, completeness, and consistency
- Identify data quality issues, anomalies, and gaps across product catalogs and systems
- Define and enforce data quality rules, standards, and validation checks
- Collaborate with product managers, data engineers, and business teams to resolve data issues
- Perform root cause analysis on data defects and recommend corrective actions
- Maintain data quality dashboards, reports, and KPIs
- Support product launches, updates, and migrations by ensuring data readiness
- Document data definitions, quality processes, and governance standards
- Ensure compliance with internal data policies and external regulations where applicable
Required Qualifications
- Bachelor's degree in Data Analytics, Information Systems, Business, Computer Science, or related field
- Experience in data quality, data analysis, or data operations roles
- Strong understanding of data management concepts and product data lifecycle
Technical Skills
- Proficiency in SQL and data querying
- Experience working with product information systems (PIM), ERP, or catalog management tools
- Familiarity with data quality frameworks, validation rules, and reconciliation techniques
- Experience with reporting and BI tools (e.g., Tableau, Power BI, Looker)
- Knowledge of data integration and ETL processes
Soft Skills
- High attention to detail and accuracy
- Strong analytical and problem-solving skills
- Ability to communicate data issues clearly to technical and non-technical stakeholders
- Strong documentation and process-improvement mindset
