Product Data Quality Analyst – Data Cleansing, Standardisation

🔥 1 minute ago

🌏 Anywhere in the World

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Deloitte

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1845

💼 Consulting

Consulting • Financial Advisory • Technology, Media & Telecommunications

Deloitte is a leading global provider of audit, consulting, tax, and advisory services. With a strong commitment to innovation and sustainable practices, Deloitte helps organizations navigate the complexities of business transformation and optimize their operations across various sectors. The company emphasizes respect, inclusion, and diversity, ensuring a collaborative working environment that fosters growth and development for its employees.

📋 Description

• 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