About Me
Growth Data Analyst with 3+ years of experience driving revenue across high-volume B2C e-commerce platforms and digital pharmacy ecosystems, managing transactional datasets up to 5 million rows. Expert in writing advance…
Growth Data Analyst with 3+ years of experience driving revenue across high-volume B2C e-commerce platforms and digital pharmacy ecosystems, managing transactional datasets up to 5 million rows. Expert in writing advanced SQL queries, executing A/B tests, and building automated Power BI/Tableau dashboards to optimize retail checkout funnels. Proven track record of scaling commercial growth; boosted checkout conversion rates by 14% and increased repeat purchase retention by 18% by analyzing fast-moving consumer cart data and specialized healthcare purchase patterns.
Experience
Growth Data Analyst
Engineered robust ETL pipelines using SQL and Python to clean, deduplicate, and unify messy multi-channel marketing data, cutting reporting discrepancies by 35%. Designed and executed 40+ A/B tests across the user acquisition funnel, driving a 22% increase in activation rate and optimizing ad spend efficiency. Built automated Looker dashboards that tracked real-time retention and cohort behavior, eliminating manual data pulling for the product team. Modeled multi-touch attribution to isolate underperforming ad campaigns, allowing the growth team to reallocate $150K in monthly budget toward high-LTV channels. Audited and restructured tracking infrastructure in Amplitude and GA4, fixing critical event-logging broken pipelines and restoring data integrity.
Growth Data Analyst (Contract)
Designed and delivered Power BI dashboards to monitor sales performance, inventory levels, and supply chain operations across multiple pharmacy locations. Scrubbed and unified daily, weekly, and monthly retail POS and treatment logs, eliminating data duplication and fixing a 14% revenue leakage gap. Segmented customer purchasing behavior and prescription cycles, driving targeted re-engagement campaigns that boosted recurring revenue by 18%. Analyzed drug and product sales velocity, isolating low-margin inventory bottlenecks to increase product turnover rates by 15%. Cross-analyzed sickness patterns against treatment types, providing data that optimized clinic staffing and increased treatment bookings by 22%. Automated periodic revenue and product performance dashboards in Power BI, killing manual spreadsheet tracking and saving management 8 hours weekly.
Growth Data Analyst (Contract)
Cleaned and consolidated chaotic sales, customer, and marketing data using Python, eliminating tracking errors and resolving a 25% revenue data discrepancy. Analyzed revenue trends and customer lifetime value (LTV) to isolate high-churn segments, fueling targeted campaigns that boosted customer retention by 16%. Built SQL attribution models tracking marketing spend against sales revenue, cutting underperforming channels to reduce Customer Acquisition Cost (CAC) by 18%. Diagnosed sales funnel drop-offs and purchase velocity bottlenecks, delivering actionable pipeline insights that increased lead-to-revenue conversion by 14%. Shipped automated Power BI revenue dashboards for executives, killing manual cross-department reporting and saving the sales team 10 hours weekly.