Shopify Specialist, Remote - Contract

Xperteez Technology Pvt Ltd

United States

Remote

USD 55,000 - 83,000

Part time

4 days ago
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Job summary

Himalayas is seeking a remote Shopify Specialist on a contract basis (roughly 5–10 hours per week) to review analytical task structures and provide expert feedback based on Shopify data models and analytics best practices.

The role requires deep Shopify experience across orders, products, customers, and reporting, with strong skills in e-commerce analytics and tools such as SQL and BI platforms. Effective written and verbal communication is essential for clear guidance.

Qualifications

  • 5+ years of Shopify experience in store ops, development, or analytics.
  • Comprehensive knowledge of Shopify data model (orders, products, customers, reporting).
  • Strong foundation in e-commerce analytics including conversion, retention, cohort, and revenue metrics.

Responsibilities

  • Review proposed Shopify and e-commerce task structures for alignment with real platform workflows and data models.
  • Provide clear written and verbal feedback on realism and completeness of analytical scenarios and deliverables.
  • Advise on Shopify core data objects (orders, products, customers, reporting) to ensure analytics tasks reflect real-world use.
  • Highlight gaps, edge cases, or unrealistic assumptions in scenario framing using hands-on experience.
  • Recommend improvements to task structures, terminology, and metrics based on Shopify and e-commerce best practices.
  • Validate terminology and definitions against standard Shopify/e-commerce analytics language.
  • Suggest additional cases or refinements to better reflect operator and analyst perspectives.

Skills

Shopify data model
E-commerce analytics
Shopify Plus
SQL
BI platforms
Looker
Consulting experience

Tools

Looker

Job description

Role Title: Shopify Specialist Role Type: Contract (~5 - 10 hs/week) Location: Remote Required Skills Shopify data model E-commerce analytics Applied Shopify experience Feedback quality

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

Hiring flow: AI Interview Recruiter and team members interview Offer and onboarding (if selected) Originally posted on Himalayas

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