Key Responsibilities
Marketing Performance & Revenue Analytics
* Analyze performance of paid channels (Meta, Google, e.t.c)
* Track revenue, ROAS, CAC, conversion rate, and customer acquisition trends
* Monitor product performance, category sales, and campaign profitability
* Identify high-performing products, audiences, and channels to scale
* Optimize underperforming campaigns using data-driven insights
Customer Retention & Repeat Purchase
* Monitor repeat purchase rate, retention rate, and churn rate
* Analyze customer lifecycle: First Purchase, Repeat,Loyal and churn
* Identify drop-off points in the purchase journey and reduce churn
* Develop strategies to increase customer loyalty and frequency of purchase
* Support win-back, remarketing, and re-engagement campaigns
Customer Segmentation & Behavior Analysis
* Segment customers based on RFM (Recency, Frequency, Monetary)
* Identify VIP, High-Value, At-Risk, and New Customers
* Analyze buying behavior, product affinity, and customer cohorts
* Perform cohort analysis to track retention and revenue trends
Conversion & Funnel Optimization
* Analyze funnel performance
* Identify conversion bottlenecks and drop-off points
* Support A/B testing for landing pages, product pages, and checkout optimization
* Improve Average Order Value (AOV) through insights and cross-sell/upsell analysis
Reporting & Insights
* Build dashboards and automated reports for marketing and retention metrics
* Present insights and actionable recommendations to stakeholders
* Forecast revenue, repeat purchase, and retention performance
Required Skills
* Minimum of a Degree in related field
* 5years experience in related field
* Data & Technical Skills
* Advanced Excel / Google Sheets
* SQL
* Power BI / Tableau / Looker (Dashboarding & visualization)
* Understanding of attribution models and performance marketing
* Strong understanding of customer lifecycle and retention strategy
* Knowledge of eCommerce funnel and conversion optimization
* Experience with CRM/ SAP system
* Customer segmentation (Churn, Cohort, Behavioral analysis)
* Data storytelling and insight communication