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Merchandise Data Analyst

Merchandise Data Analyst

Randstad USANewark, NJ, US
1 day ago
Job type
  • Full-time
Job description

Join our iconic and world-renowned brand, as part of our Retail division. You will play a pivotal role in our organization-wide implementation of the new Relex end-to-end Planning system . This position is responsible for the foundational merchandise categorization and system data clean-up. This data cleansing is imperative for the success of the multi-year project, and this role will lay the groundwork in 2025 for the targeted 2026 completion.

Key Responsibilities

  • Master Data Cleansing : Cleanse, validate, and re-structure product master data, including hierarchies, attributes (Style / Collection / Digital Accessory), and characteristics.
  • Data Mapping & Consolidation : Map data from existing sources (e.g., Fusion, Excel, legacy systems) to the new hierarchy and attribute structure.
  • Data Validation : Identify and source missing or incomplete data by partnering with business stakeholders. Manage and reconcile the "live assortment" in Fusion and Brand Manager, including status validation (DD / DC / Active).
  • System Integration Support : Prepare and maintain master data in Excel to facilitate correct upload into SAP / Fusion systems.
  • Stakeholder Collaboration : Act as a key bridge between business teams (Merchandising, Planning) and technical teams (DT, external Relex team) to ensure master data supports all replenishment and allocation processes.

Qualifications & Skills

  • Must have direct experience working with SAP.
  • Must have experience working in a retail environment
  • Bachelor's Degree in Business, Finance, Mathematics, Supply Chain, or a related field.
  • Experience with a planning / replenishment tool (Relex is strongly preferred) or a Warehouse Management System (WMS).

    • Job Benefits

  • Work directly with the world-famous confectionery brand, a globally recognized company.
  • The role is hybrid and primarily remote
  • Stable Schedule : This role has predictable, standard business hours (Monday-Friday, 9 a.m. - 5 p.m

    • For a faster response, please email your resume to michael.wilson@randstadusa.com

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    Data Analyst • Newark, NJ, US