Data Analyst (eCommerce)

Position Overview

Key Responsibilities

• Collect, clean, and analyze large datasets from multiple eCommerce platforms (Shopify, Magento, WooCommerce, etc.), marketing channels, and ERP/CRM systems.
• Build dashboards and automated reports using tools like

  Tableau, Power BI, or Google Data Studio

  to track KPIs (traffic, conversion, AOV, churn, repeat purchase rate, etc.).
• Analyze customer behavior, product performance, pricing trends, and marketing ROI.
• Support A/B testing, personalization strategies, and campaign performance tracking.
• Collaborate with cross-functional teams (Marketing, Product, Operations, Tech) to provide insights that improve decision-making.
• Identify opportunities for upselling, cross-selling, and retention strategies using predictive analytics.
• Ensure data accuracy, consistency, and governance across all reporting systems.

Requirements

• Bachelor s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.

• 3+ years of experience

  in data analytics, preferably within an

  eCommerce or digital business environment

  .
• Proficiency in

  SQL, Excel, and data visualization tools

  (Tableau, Power BI, Looker, Google Data Studio).
• Experience with

  Google Analytics (GA4), Tag Manager, and digital marketing data sources

  (Meta Ads, Google Ads, etc.).
• Understanding of eCommerce metrics (conversion funnel, CAC, LTV, retention, basket analysis).
• Strong problem-solving skills with the ability to translate data into business recommendations.
• Familiarity with Python/R for data analysis and predictive modeling is a plus.

Preferred Skills

• Experience with

  Shopify/Magento APIs

  or data integration tools (Fivetran, Stitch, etc.).
• Exposure to

  ETL pipelines, big data tools, or cloud platforms

  (AWS, GCP, Azure).
• Knowledge of customer segmentation, cohort analysis, and recommendation systems.
• We are taking this interview for experiment purpose.