E-commerce Catalog Analyst | $50/hr Remote

E-commerce Catalog Analyst | $50/hr Remote

Posted Today by Crossing Hurdles

Negotiable
Undetermined
Remote
United Kingdom

Summary: The E-commerce Catalog Analyst is responsible for managing and curating large-scale e-commerce product catalogs, ensuring data accuracy and consistency. The role involves developing product taxonomy frameworks, normalizing product data, and collaborating with AI teams to optimize catalog structures. The position is contract-based and offers flexible working hours remotely. Candidates should have experience in product catalog management and proficiency in database concepts.

Key Responsibilities:

  • Manage, structure, and curate large-scale e-commerce product catalogs.
  • Develop, implement, and refine product taxonomy frameworks.
  • Normalize and map product data from diverse databases.
  • Create and model realistic shopping scenarios.
  • Collaborate with AI development teams to define data needs.
  • Document workflows, taxonomies, and metadata structures.

Key Skills:

  • Experience in product catalog management and e-commerce merchandising.
  • Proficiency with SQL and NoSQL database concepts.
  • Strong command of product taxonomy development and data normalization.
  • Understanding of structured dataset management.
  • Experience in building data-driven shopping experiences.

Salary (Rate): £50.00/hr

City: undetermined

Country: United Kingdom

Working Arrangements: remote

IR35 Status: undetermined

Seniority Level: undetermined

Industry: IT

Detailed Description From Employer:

Position: E-commerce Catalog Analyst

Type: Contract

Compensation: $40 - $50/hour

Location: Remote

Commitment: 10-40 hrs/week

Role Responsibilities

  • Manage, structure, and curate large-scale e-commerce product catalogs to ensure data accuracy and consistency across platforms.
  • Develop, implement, and refine product taxonomy frameworks to simulate real-world e-commerce classifications and browsing experiences.
  • Normalize and map product data sourced from diverse databases while applying best practices in structured dataset management.
  • Create and model realistic shopping scenarios that reflect authentic consumer behavior and decision-making processes.
  • Collaborate with AI development teams to define data needs and optimize catalog structures for scalable AI training.
  • Document workflows, taxonomies, and metadata structures with clear and concise written communication.

Requirements

  • Have demonstrated experience in product catalog management and e-commerce merchandising operations.
  • Possess proficiency with SQL and NoSQL database concepts, schema design, and product data modeling.
  • Have a strong command of product taxonomy development, categorization, and data normalization methods.
  • Have a deep understanding of structured dataset management, including large and complex e-commerce catalogs.
  • Have experience building data-driven shopping experiences and simulating consumer journeys.

Application Process

  • Easy Apply on LinkedIn
  • Check email for next steps
  • Participate in resume evaluation & interview stage