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

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

You’ll 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 you’ll 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 we’re looking for

You’ll 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.

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