Deloitte
Product Data Quality Analyst – Data Cleansing & Standardisation
Get notified of more jobs like this · No spam, ever
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
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.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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.
Get help with your application
Your very own career expert that helps elevate your application to the next level.
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.
Interested?
If you have strong product data, data quality or data cleansing experience and are comfortable working with both traditional data tools and AI-assisted workflows, we’d love to hear from you.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location