E-Commerce Insights Analyst

2 days ago

Thāne, Maharashtra, India beBeeData Full time US$ 1,00,000 - US$ 1,50,000

Join a fast-paced e-commerce analytics team as a Data Analyst to uncover insights that drive growth.

About the Role:

We're seeking an experienced data professional with 5-7 years of experience in e-commerce analytics to analyze customer behavior, conversion funnels, and marketing efficiency using GA4, Shopify, BigQuery, and BI tools.

Key Responsibilities:

  • Analyze conversion funnels to identify drop-offs and optimize customer journeys
  • Create automated executive dashboards in Looker Studio to ensure clarity, timeliness, and data quality
  • Partner with growth and finance teams to project traffic, conversion, and revenue; support demand planning with data-driven scenarios
  • Validate GA4/Shopify events and schema changes; ensure metric definitions and documentation are consistent and trustworthy
  • Cross-functional collaboration: work with product, marketing, lifecycle/Customer Relationship Management (CRM), and engineering teams to translate business questions into analysis and decisions

Requirements:

  • Expert SQL skills and comfort working in BigQuery or similar cloud warehouses
  • Business Intelligence (BI) proficiency: Looker Studio, Tableau, or Power BI—able to design crisp, self-serve dashboards
  • GA4 expertise: event modeling, custom dimensions, funnels, UTMs, exploration reports; ability to reconcile GA4 with platform data
  • Scripting for analysis/automation: Python or R for data wrangling, notebooks, and lightweight jobs
  • Effective communication: clear storytelling with data, executive-ready summaries, and practical recommendations in a fast-paced environment

Desirable Skills:

  • Experience with Shopify, Recharge (subscriptions), and Klaviyo (lifecycle/CRM) datasets
  • Familiarity with marketing attribution (rules-based + data-driven), multi-touch marketing mix (MMM), or causal inference
  • Hands-on with analytics engineering tools; comfort reviewing tracking specifications
  • Exposure to artificial intelligence/machine learning (AI/ML) use cases (propensity scoring, next-best-offer, demand forecasting)

About Us:

We value collaboration, innovation, and continuous learning. If you're passionate about e-commerce analytics and want to make a meaningful impact, join our team

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