Product Data Quality Analyst – Data Cleansing, Standardisation

Posted 5 days ago

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About the role

  • Product Data Quality Analyst cleansing and standardising SKU catalogues for a financial-services data transformation project. Applying taxonomy, validation, SQL/Python, Excel, and AI-assisted enrichment workflows.

Responsibilities

  • Review, cleanse and standardise product catalogue data across categorisation, size, colour, material, brand and related product attributes
  • Apply agreed rules and taxonomy structures to standardise inconsistent product data
  • Map products to appropriate categories and classifications
  • Use AI-assisted tools for data imputation, enrichment and candidate suggestions
  • Review and validate ambiguous or potentially incorrect AI-generated recommendations
  • Develop and apply validation rules to improve data accuracy and consistency
  • Perform sample-based accuracy and quality checks
  • Reconcile data and identify discrepancies or mismatches
  • Apply confidence scoring to data decisions where appropriate
  • Maintain audit trails and document the rationale for data changes
  • Escalate unresolved or high-impact data quality issues
  • Produce a handover document covering data provenance, methodology and known caveats
  • Work within short delivery sprints according to SOPs and acceptance criteria
  • Provide regular progress updates throughout the assignment
  • Help create a canonical product master for assortment analysis and business decision-making

Requirements

  • 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
  • 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
  • Experienced Product Data Quality Analyst background supporting data quality and standardisation projects

Benefits

  • Remote work arrangement
  • Short-term assignment
  • Competitive daily rate
  • Inside IR35 contract arrangement

Job title

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Tech skills

PythonSQL

Location requirements

RemoteWorldwide

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