Ecommerce Data Strategist

22 hours ago

Aurangabad, Maharashtra, India beBeeData Full time US$ 60,000 - US$ 1,00,000
Data Insight Specialist

We are seeking a Data Insight Specialist with strong experience in eCommerce analytics to transform data into actionable insights that drive growth.

You will leverage GA4, Shopify, BigQuery, and BI tools (e.g., Looker Studio) to analyze conversion funnels, customer behavior, and marketing efficiency. Proficiency in SQL and working knowledge of Python for analysis/automation are required.

Key Responsibilities:

  • Conversion & journey analytics: Build GA4 funnels, diagnose drop-offs (landing → ATC → checkout → purchase)
  • Dashboards & reporting: Build and maintain automated executive and team dashboards in Looker Studio (or similar), ensuring clarity, timeliness, and data quality.
  • Forecasting & planning support: Partner with Growth/Finance to project traffic, conversion, and revenue; support demand planning with data-backed scenarios.
  • Data QA & governance: Validate GA4/Shopify events and schema changes; ensure metric definitions and documentation are consistent and trustworthy.
  • Cross-functional collaboration: Work with Product, Marketing, Lifecycle/CRM, and Engineering to translate business questions into analysis and decisions.

Requirements:

  • 5–7 years in analytics (preferably eCommerce or consumer DTC), with proven impact on conversion and revenue.
  • Expert SQL skills and comfort working in BigQuery (or similar cloud warehouses).
  • 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.

Preferred Qualifications:

  • Experience with Shopify, Recharge (subscriptions), and Klaviyo (lifecycle/CRM) datasets.
  • Hands-on with marketing attribution (rules-based + data-driven), MMM, or causal inference.
  • Familiarity with GA4 analytics engineering tools; comfort reviewing tracking specs/GTM.
  • Exposure to AI/ML use cases (propensity scoring, next-best-offer, demand forecasting).

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