Product Data Quality Analyst – Data Cleansing, Standardisation

This is a fully remote position, open to applicants anywhere in the world.

📋 Description

• Review, cleanse, and standardize product catalog data across various attributes including categorization, size, color, material, brand, and related product features.

• Implement established rules and taxonomy structures to bring consistency to inconsistent product data.

• Map products to the appropriate categories and classifications.

• Utilize AI-assisted tools for data imputation, enrichment, and generating candidate suggestions.

• Assess and validate any ambiguous or potentially incorrect recommendations generated by AI.

• Create and enforce validation rules to enhance the accuracy and consistency of data.

• Conduct sample-based accuracy and quality checks.

• Reconcile data and identify any discrepancies or mismatches.

• Apply confidence scoring to data decisions when suitable.

• Maintain audit trails and document the rationale behind data changes.

• Escalate any unresolved or significant data quality issues.

• Generate a handover document that includes data provenance, methodology, and known caveats.

• Operate within short delivery sprints aligned with standard operating procedures (SOPs) and acceptance criteria.

• Provide regular updates on progress throughout the assignment.

• Assist in creating a canonical product master for assortment analysis and informed business decision-making.

⛳️ Requirements

• Demonstrated experience in manual data cleansing and ensuring data quality.

• Familiarity with rule-based data normalization.

• Understanding of data taxonomy and category mapping.

• Proficient in Excel or Google Sheets.

• Experience with SQL and/or Python for data sampling, validation, or reconciliation.

• Familiarity with AI tools such as ChatGPT, PairD, or similar technologies to enhance data analysis, predictions, or candidate suggestions.

• Strong analytical and problem-solving abilities.

• Exceptional attention to detail and a systematic approach to data validation.

• Capability to differentiate between reliable data and ambiguous or potentially inaccurate information.

• Experience adhering to defined SOPs, acceptance criteria, and quality standards.

• Comfortable working autonomously within short, focused delivery sprints.

• Background as an experienced Product Data Quality Analyst supporting data quality and standardization initiatives.

🏝️ Benefits

• Remote work opportunity.

• Short-term assignment.

• Competitive daily rate.

• Inside IR35 contract arrangement.