Ecommerce Data Insights Specialist

15 hours ago

Rajahmundry, Andhra Pradesh, India beBeeEcommerce Full time US$ 90,000 - US$ 1,20,000

About the Role:

We are seeking a highly skilled Ecommerce Data Insights Specialist to join our team. As a key member of our analytics department, you will be responsible for transforming data into actionable insights that drive growth.

Responsibilities:

  • Data Analysis & Interpretation: Conduct thorough analysis of ecommerce metrics and KPIs to identify trends, opportunities, and areas for improvement.
  • Dashboards & Reporting: Design 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 teams to translate business questions into analysis and decisions.

Requirements:

  • 5-7 Years of Experience: In analytics (preferably ecommerce or consumer DTC), with proven impact on conversion and revenue.
  • Expert SQL Skills: With 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 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.
  • Prior Impact: In a high-growth ecommerce environment, with measurable wins (CRO, CPA/LTV).

What We Offer:

  • Fully Remote Work: Work from anywhere in the world.
  • Health Insurance: USD 50 health insurance payment per month.
  • 30 Days of Pay Time Off Per Year: Annual leave to recharge and relax.
  • Annual Bonuses: Based on business performance and personal achievements.

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