Product Data Quality Analyst – Data Cleansing & Standardisation

This is a remote position.

Role: Product Data Quality Analyst Data Cleansing & Standardisation

Location: Remote

Start Date: 2 weeks time

End Date: TBC

Daily Rate: Competitive Inside IR35 Rockford Payroll Info for Contingent Workers Rockford Pay

Contract Remote Short-term assignment

Were looking for an experienced Product Data Quality Analyst to support an important data quality and standardisation project.

Youll be responsible for reviewing cleansing and standardising a product catalogue ensuring every SKU has a complete accurate and consistent set of attributes. This is a hands-on role for someone who enjoys working with data spotting inconsistencies and turning complex or messy information into a reliable structured product master.

The role will also involve using AI-assisted tools to accelerate data enrichment and identify potential attribute values with human review and validation applied where required.

What youll be doing

• Audit and cleanse product catalogue data across multiple attributes including categorisation size colour material brand and related product information.
  
• Standardise inconsistent product data and apply agreed rules and taxonomy structures.
  
• Map products to the appropriate categories and classifications.
  
• Use AI-assisted tools to support data imputation enrichment and candidate suggestions.
  
• Review ambiguous or potentially incorrect AI-generated recommendations and make informed decisions.
  
• Develop and apply validation rules to improve data accuracy and consistency.
  
• Carry out sample-based accuracy and quality checks.
  
• Reconcile data and identify discrepancies or mismatches.
  
• Apply confidence scoring to data decisions where appropriate.
  
• Maintain clear audit trails and document the rationale behind data changes.
  
• Escalate unresolved or high-impact data quality issues.
  
• Produce a concise handover document covering data provenance methodology and known caveats.
  
• Work within short delivery sprints following clear SOPs and acceptance criteria.
  
• Provide regular progress updates throughout the assignment.
  

What were looking for

Youll ideally have experience in data cleansing data quality product data or data taxonomy with a strong eye for detail and the ability to work confidently with large or complex datasets.

You should have:

• Proven experience in manual data cleansing and data quality.
  
• Experience with rule-based data normalisation.
  
• Knowledge of data taxonomy and category mapping.
  
• Strong Excel or Google Sheets skills.
  
• Experience using SQL and/or Python for data sampling validation or reconciliation.
  
• Experience using AI tools such as ChatGPT PairD or similar to accelerate data analysis predictions or candidate suggestions.
  
• Strong analytical and problem-solving skills.
  
• Excellent attention to detail and a methodical approach to data validation.
  
• The ability to distinguish between reliable data and ambiguous or potentially incorrect information.
  
• Experience working to defined SOPs acceptance criteria and quality standards.
  
• Comfortable working independently within short focused delivery sprints.
  

Why this role

This is an opportunity to work on a data transformation and product catalogue quality project combining traditional data quality and cleansing techniques with emerging AI-assisted approaches.

Youll play a key role in creating a canonical product master that can subsequently be used for accurate assortment analysis and wider business decision-making.