Flexible Data Mapping & Syndication Specialist

NielsenIQ

Karachi Division

On-site

PKR 600,000 - 1,200,000

Full time

4 days ago
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Benefits offered by this job

Flexible working environment
Volunteer time off

Job summary

NielsenIQ is seeking a mapping and data governance professional to drive channel/marketplace catalog alignment for NIQ. The role focuses on schema, taxonomy, and vendor attribute mapping across the Transmutation platform, delivering consistent data mappings and multilingual support where needed.

The ideal candidate will own header and attribute mappings, validate outputs, and participate in cross-functional reviews to ensure data quality and process improvements across teams.

Qualifications

  • Solid written and verbal communication skills.
  • Basic Coding Skills.
  • AI Tools knowledge.
  • Understanding of Marketplaces Taxonomy & Product Catalog.
  • Proficiency in MS Office in General and Expert in MS Excel in Particular.

Responsibilities

  • Develop understanding of channel/marketplace schema & format.
  • Develop understanding of channel/marketplace taxonomy.
  • Designing, creating and maintaining the Vendor file/template.
  • Creating and maintaining the header mapping file of Vendor template.
  • Creation of mappings via handlebars for vendor and commons attributes in the Transmutation system.
  • Deployment of the category mapping file on the Transmutation system.
  • Validation of mapping output on the Transmutation system.

Skills

Solid communication
Basic coding
AI tools knowledge
Marketplaces taxonomy
MS Excel expert

Education

University degree in Engineering or Technology

Tools

MS Excel

Job description

NielsenIQ is seeking a mapping and data governance professional to drive channel/marketplace catalog alignment for NIQ. The role focuses on schema, taxonomy, and vendor attribute mapping across the Transmutation platform, delivering consistent data mappings and multilingual support where needed.

The ideal candidate will own header and attribute mappings, validate outputs, and participate in cross-functional reviews to ensure data quality and process improvements across teams.

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