E-commerce Data Analyst

ixolabs.ai; France; Sur place; EUR 45 000 - 60 000; Temps partiel

Résumé du poste

ixolabs.ai is seeking an E‑commerce Data Analyst to create and evaluate data related to product categorization, customer journeys, pricing strategies, and market trends to enhance how AI understands online shopping.

You will analyze product data, develop training sets for complex shopping behaviors, and assess AI-generated descriptions and pricing for accuracy and impact. This role focuses on actionable insights for retail AI systems.

Qualifications

• 3+ years of experience in e‑commerce analytics, BI, or product management within retail.
• Proficiency with e‑commerce platforms and analytics tools.
• Strong understanding of retail KPIs, customer segmentation, and online merchandising.

Responsabilités

• Analyze and categorize product data to ensure accurate classification across e‑commerce taxonomies.
• Create training data sets illustrating complex customer shopping behaviors and funnels.
• Evaluate AI-generated product descriptions, recommendations, and pricing strategies.
• Identify e‑commerce metrics such as AOV, conversion rates, and CLV.
• Provide feedback on AI understanding of market trends, pricing, and inventory.
• Develop scenarios and test cases for supply chain disruptions and demand forecasting.

Connaissances

e-commerce analytics

business intelligence

product management

Python (Pandas)

SQL

Excel

Google Analytics

Outils

Shopify

Magento

Salesforce Commerce Cloud

Google Analytics

Adobe Analytics

Description du poste

The e-commerce landscape is a dynamic marketplace. This role focuses on training AI to understand shopping behaviors, product ecosystems, and market trends to improve recommendations and insights in online retail.

Role

E-commerce Data Analyst responsible for creating and evaluating data related to product categorization, customer journeys, pricing strategies, and market trends to influence how AI understands and engages with online shopping.

Key Responsibilities

• Analyze and categorize product data to ensure accurate classification across diverse e‑commerce taxonomies.
• Create training data sets that illustrate complex customer shopping behaviors, purchase funnels, and conversion patterns.
• Evaluate AI-generated product descriptions, recommendations, and pricing strategies for accuracy and effectiveness.
• Identify and evaluate e‑commerce metrics such as average order value, conversion rates, and customer lifetime value.
• Provide detailed feedback on AI’s ability to understand market trends, competitive pricing, and inventory management.
• Develop scenarios and test cases for AI to analyze supply chain disruptions and demand forecasting in e‑commerce.

Ideal Qualifications

• 3+ years of experience in e‑commerce analytics, business intelligence, or product management within retail.
• Proficiency with e‑commerce platforms (e.g., Shopify, Magento, Salesforce Commerce Cloud) and analytics tools (e.g., Google Analytics, Adobe Analytics).
• Strong understanding of retail KPIs, customer segmentation, and online merchandising strategies.
• Experience with data manipulation and analysis using Excel, SQL, or Python (Pandas).
• Ability to interpret complex data sets and translate insights into actionable training data.
• Familiarity with A/B testing and personalization strategies in e‑commerce.

Project Timeline

• Start Date: Immediate (note: project-based, ongoing).
• Duration: Ongoing, project-based.
• Commitment: Flexible, 15–25 hours/week.