Ecommerce Data Analyst

3 days ago

Hyderabad, Telangana, India beBeeGrowth Full time ₹ 1,68,00,000 - ₹ 1,98,00,000

We are seeking a highly analytical professional to join our team as a Growth Analyst. As a key member of our analytics department, you will be responsible for driving revenue growth through data-driven insights and recommendations.

Role Overview

This role requires a strong analytical mindset, experience in e-commerce performance metrics, and the ability to translate complex data into actionable business insights.

Key Responsibilities:
  • Analyse customer behaviour, pricing models, and conversion funnels to uncover revenue opportunities.
  • Optimize pricing, bundling, and upsell strategies to increase Average Order Value (AOV) and Customer Lifetime Value (LTV).
  • Identify and implement retention strategies to reduce churn and improve repeat purchase rates.
  • Work with marketing teams to measure and improve Return on Ad Spend (ROAS).
Cost Optimisation & Profitability
  • Identify inefficiencies in fulfilment, logistics, and Customer Acquisition Cost (CAC) to improve margins.
  • Analyse supply chain and inventory data to minimize holding costs and optimize cash flow.
  • Develop profitability forecasting models and scenario analyses to guide financial decision-making.
Data-Driven Insights & Execution
  • Build and maintain automated dashboards and self-serve analytics tools.
  • Conduct A/B testing on growth initiatives to measure impact and refine strategies.
  • Presentation key findings to senior stakeholders, driving execution on high-impact recommendations.
Key Metrics for Success
  • Revenue Uplift (% increase in sales via pricing, retention, or AOV improvements).
  • Profitability Growth (improvements in Gross Margin or EBITDA).
  • Marketing Efficiency (better ROAS, improved CAC/LTV ratio).
  • Cost Savings (reduction in fulfilment, inventory, or ad spend inefficiencies).
Requirements
  • 5+ years experience in growth analytics, e-commerce analytics, or D2C consulting roles.
  • Strong proficiency in data analysis, ability to translate complex data into clear, actionable business insights.
  • Deep understanding of e-commerce KPIs (LTV, CAC, ROAS, Contribution Margins, etc.).
  • Understanding of A/B testing, attribution modelling, and pricing analytics.
  • Understanding of SQL and BI tools.
  • Experience working cross-functionally with marketing, product, and finance teams.
Nice to Have
  • Knowledge of Shopify, Amazon Seller Central, or performance marketing tools.
  • Exposure to machine learning models for forecasting or personalization.

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