I am a product-driven analyst with over 4 years of experience in fintech, SaaS, and e-commerce sectors. My expertise lies in transforming insights into actionable product improvements, focusing on areas such as onboarding, retention, pricing, and A/B testing. I have successfully led cross-functional projects involving product, marketing, support, and data engineering teams to drive impactful results.
In my previous roles, I standardized key metrics across Sales, Operations, and Finance, enabling alignment and consistency in reporting. I automated reporting and forecasting for business-critical metrics and simplified financial model structures to reduce manual work and accelerate decision-making processes.
At ID Finance in Barcelona, I built a full A/B testing pipeline in Python and led its rollout across product and marketing teams, cutting test cycle times by 30% and improving prioritization. I also led the internal reporting system for Support, creating dashboards and KPIs in collaboration with Compliance and Engineering teams, which reduced support backlog by 30% and improved SLA visibility.
I created a product performance layer from scratch, including daily KPIs, user cohorts, and alerting mechanisms. Additionally, I refactored legacy SQL pipelines to improve report reliability and reduce runtime from 2 hours to under 10 minutes. I have mentored junior analysts and contributed to the growth of a product-oriented analytics team.
Currently, I work as a Senior Insights Analyst at SEMRUSH in Barcelona, where I identify onboarding friction points and introduced guided user flows that increased retention by 3.5%. I analyze usage patterns and competitor pricing to inform product packaging changes, contributing to approximately 5% unit MRR growth. I also identified a high-usage, non-paying user segment that helped launch a standalone Competitive Intelligence product. I define proxy metrics to better track activation and early usage, continuously driving product insights and improvements.
Standardized key metrics across Sales, Operations, and Finance enabling alignment and consistency in reporting. Automated reporting and forecasting for business-critical metrics. Simplified financial model structure reducing manual work and improving decision speed.
Built full A/B testing pipeline in Python and led rollout across product and marketing teams cutting test cycle time by 30% and improving prioritization. Led internal reporting system for Support: built dashboards and KPIs with Compliance and Engineering reducing support backlog by 30% and improving SLA visibility. Created product performance layer from scratch: daily KPIs, user cohorts, alerting. Refactored legacy SQL pipelines improving report reliability and reducing run time from 2 hours to under 10 minutes. Mentored 2 analysts and helped grow a product-oriented analytics team.
Identified key onboarding friction and introduced guided user flow increasing retention by 3.5%. Analyzed usage patterns and competitor pricing informing product packaging changes resulting in ~5% unit MRR growth. Found high-usage, non-paying user segment contributing to the launch of a standalone Competitive Intelligence product. Defined proxy metrics to better track activation and early usage.
Bachelor of Business Informatics
Covered statistics, programming (VBA, C++, F#), and IT project management
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