Shopify Specialist

RemoteJobsOne

Madrid

A distancia

EUR 73.000 - 122.000

Jornada completa

Hace 9 días
Generador de candidaturas

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Descripción de la vacante

RemoteJobsOne is seeking a Shopify Specialist for a fully remote engagement based in Spain. You will review ecommerce workflows, provide expert feedback, and help align analytics tasks with real Shopify data models.

The role focuses on training AI systems with high-quality input, leveraging deep Shopify knowledge to improve task structures, terminology, and metrics. 5+ years in Shopify operations, analytics, or development are expected.

Formación

  • 5+ years of deep, hands-on Shopify experience across store ops, development, or analytics.
  • Comprehensive knowledge of Shopify data model: orders, products, customers, reporting.
  • Strong foundation in e-commerce analytics: conversion, retention, cohort, revenue.

Responsabilidades

  • Review Shopify task structures and identify divergences from platform workflows and data models.
  • Provide clear, actionable feedback on realism and completeness of analytical scenarios and deliverables.
  • Advise on Shopify core data objects—orders, products, customers, reporting—for analytic alignment.
  • Highlight gaps, edge cases, or unrealistic assumptions in scenario framing based on hands-on experience.
  • Recommend improvements to task structures, terminology, and metrics based on Shopify/e-commerce best practices.
  • Validate terminology and definitions against standard Shopify/e-commerce analytics language.
  • Suggest additional cases or refinements to reflect operator and analyst perspectives.

Conocimientos

Shopify expert
Analytics
SQL
Looker
Communication
Consulting

Herramientas

Looker

Descripción del empleo

This is a fully remote position, open to candidates based in Spain.

Pay: $60–$100/hr

Role Title: Shopify Specialist

Role Type: Contractor (~5 - 10 hs/week)

Location: Remote

We are engaging Shopify Specialists to contribute subject-matter expertise for a customer project focused on e-commerce workflows and analytics. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work
  1. Review proposed Shopify and e-commerce task structures, identifying where they diverge from actual platform workflows and data models.
  2. Provide clear, actionable written and verbal feedback on the realism and completeness of analytical scenarios and deliverables.
  3. Advise on Shopify's core data objects—including orders, products, customers, and reporting—to ensure analytic tasks align with real-world use.
  4. Highlight gaps, edge cases, or unrealistic assumptions in scenario framing, drawing on direct hands-on experience.
  5. Recommend improvements to task structures, terminology, and metrics based on best practices in the Shopify and e-commerce ecosystem.
  6. Validate that terminology and definitions are consistent with standard Shopify/e-commerce analytics language.
  7. Suggest additional cases or refinements to better reflect the operator and analyst perspective.
Preferred Qualifications
  1. 5+ years of deep, hands-on experience within the Shopify ecosystem—across store operations, development, or analytics.
  2. Comprehensive knowledge of Shopify's data model (orders, products, customers, reporting).
  3. Strong foundation in e-commerce analytics, including conversion, retention, cohort, and revenue measurements.
  4. Proven ability to communicate feedback clearly and effectively in both written and verbal forms.
  5. Direct experience advising on best practices for structuring Shopify-related analytical work.
  6. Experience with multiple Shopify stores, or as a consultant or agency professional (nice to have).
  7. Familiarity with Shopify Plus, advanced reporting, and analytical tools such as SQL or BI platforms (e.g., Looker) is a plus.
Hiring flow
  1. AI Interview
  2. Recruiter and team members interview
  3. Offer and onboarding (if selected)
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