Key Responsibilities:
Work with Business stakeholders closely to drive
Revenue Growth & Optimization
- 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 Optimization & 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.
- Present key findings to CXOs and 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).
Who You Are
- 3-5+ 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.
Why Join Us?
- Work with fast-growing e-commerce brands generating $20B+ in revenue.
- Gain direct exposure to CXOs of leading mid-market brands.
- Influence high-impact business decisions with cutting-edge analytics.
- Competitive compensation, professional growth, and a data-driven culture
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