eCommerce Data Specialist: AI-Driven Catalog Automation

Vans

Lavamünd

Hybrid

EUR 96.000 - 128.000

Vollzeit

Vor 7 Tagen
Sei unter den ersten Bewerbenden
Bewerbungsgenerator

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Benefits dieser Stelle

On-site gym
50% discount on VF brands
Free beverages
Inclusive international environment

Zusammenfassung

Vans, a VF Corporation brand, is hiring an eCommerce Product Data Specialist to join the team in Stabio, Switzerland, on a 9-month temporary contract. You will transform how we build and manage our online catalogue, leveraging data and AI to onboard and enrich product assortments across digital marketplaces.

You will collaborate with stakeholders to turn multiple data sources into accurate, searchable product experiences, automate onboarding, maintain data quality, and develop dashboards to

Qualifikationen

  • Degree in data, computer science, engineering or related field.
  • Experience merging multiple data sources into clean datasets.
  • Experience with AI tools to automate content and QA checks.

Aufgaben

  • Automate onboarding of seasonal assortments with scalable workflows.
  • Build and maintain product datasets from multiple sources.
  • Leverage AI to automate PDP content and descriptions.
  • Develop dashboards to monitor data accuracy and publication velocity.
  • Own product attributes management and taxonomy across platforms.
  • Extend onboarding processes across digital platforms.

Kenntnisse

Data analysis
SQL
Excel

Ausbildung

Bachelor's or Master's in Data/CS/Engineering or related field

Tools

InRiver PIM
Relational databases
Python

Jobbeschreibung

Vans, a VF Corporation brand, is hiring an eCommerce Product Data Specialist to join the team in Stabio, Switzerland, on a 9-month temporary contract. You will transform how we build and manage our online catalogue, leveraging data and AI to onboard and enrich product assortments across digital marketplaces.

You will collaborate with stakeholders to turn multiple data sources into accurate, searchable product experiences, automate onboarding, maintain data quality, and develop dashboards to

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