Ecommerce Insights Analyst

6 days ago

Bellary, Karnataka, India beBeeData Full time US$ 1,00,000 - US$ 1,50,000
Job Description:

We are seeking an experienced Data Analyst with strong eCommerce analytics expertise to transform data into actionable insights that drive business growth and success.

The ideal candidate will leverage Google Analytics 4 (GA4), Shopify, BigQuery, and Business Intelligence (BI) tools (e.g., Looker Studio) to analyze conversion funnels, customer behavior, and marketing efficiency.

Proficiency in Structured Query Language (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 Quality Assurance & Governance: Validate GA4/Shopify events and schema changes; ensure metric definitions and documentation are consistent and trustworthy.
  • Ensure data integrity and governance across structured and unstructured datasets.
  • 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.
  • Communication: Clear storytelling with data, executive-ready summaries, and practical recommendations in a fast-paced environment.
Preferred Skills:
  • 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).
  • Prior impact in a high-growth eCommerce environment, with measurable wins (CRO, CPA/LTV).

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