Working between Ecuador and Spain, looking for an EST job. Senior Data Analyst with 8+ years of experience transforming complex data into actionable insights for marketing and product strategies. Expertise in Data Science, Business Analytics, and Data Engineering, driving customer acquisition by 15% and retention by 20%. Proven ability to optimize campaigns, enhance engagement, and deliver data-driven solutions that reduce churn and improve operational efficiency.
Senior Data Analyst Marketing and Customer Behavior at Revolut since May 2024, working remotely. Revolut is a financial technology company that offers banking services, money transfers, foreign exchange, and spending analytics. Responsibilities include optimizing marketing spend across multi-channel advertising strategies, implementing clustering algorithms for customer segmentation, developing Python-driven A/B testing frameworks, streamlining reporting processes with automated dashboards in Looker, optimizing data ingestion and transformation processes with advanced data modeling, and championing data literacy across the organization.Achievements include a 25% improvement in ROI, a 20% boost in campaign success rates, an additional $1.5 million in annual revenue, an 80% improvement in analysis efficiency, a 12% increase in conversion rates, a 50% reduction in data retrieval time, a 30% improvement in data quality, and a 50% increase in cross-functional data proficiency.
Senior Business Intelligence Engineer Marketing Analytics and Customer Behavior at Amazon from October 2020 to May 2024 in Madrid. Responsibilities included optimizing EU marketing efficiency through campaign measurement and customer segmentation, implementing automated dashboards with Spark and Python, enhancing customer segmentation accuracy, merging internal and external data for competitive insights, and leading strategy and analysis for Amazon Shopping App campaigns.Achievements included a 5% increase in campaign ROI, a 50% acceleration in data reporting speed, a 25% increase in targeted campaign precision, a 30% boost in ROAS, a 15–40% increase in first sign-ins and purchases, and a 10% long-term increase in GP per customer.