Michael D.

Supporting product teams with product analytics, experimentation and tracking strategy to improve product decisions and user experience.

Back Market

• Designed and analyzed A/B tests on product features to evaluate product improvements

• Built analyses in Amplitude and BigQuery to measure feature impact and user behavior

• Defined product KPIs and experimentation frameworks with product teams

• Delivered insights and recommendations to support data-driven product decisions

DocPlanner

• Partnered with the Search & Recommendation product team to deliver product analytics and insights

• Built dbt models and analytical datasets powering Tableau dashboards and product analyses

• Delivered recurring analyses to support search performance and product decisions

• Designed doctor ranking and scoring models used to prioritize higher-scoring doctors in search results

Sora

• Defined and implemented the product tracking strategy (events, funnels, KPIs) for core user journeys

• Built Tableau dashboards to monitor product performance and user behavior

• Led tracking implementation, funnel analyses and A/B test analyses on onboarding and booking flows

Worklib

• Set up product tracking and dashboards to support early product decisions

• Delivered exploratory analyses and defined product KPIs with the product team

Led a dynamic 3-member data analyst team across diverse sectors. Boosted team synergy, fostering a streamlined analytical approach.

• Secure Payment: Monitored and analyzed secure payment features, driving +350% year-over-year deal growth.

• Professionals and Premium Services: Conducted in-depth analyses, driving 30%-35% of company revenue through targeted insights.

• Authentication and Identity feature : Implemented dual authentication and SMS verification, reducing fraudulent messages by 30%. Conducted A/B tests on new features, resulting in a 20% increase in trust and usage.

• Prioritized scopes and executed testing, revolutionizing tracking operations in under a year.

Optimized search algorithms and sponsored results, improving customer experience.

Monitored and abtest the advertising sector, which is driving 15%-20% of business revenue, to ensure data-driven decisions.

• Crafted team roadmap, recruiting and training new data analysts to fuel business growth.

• Analyzed 20-25 million daily visits, optimizing search functionalities and recommendation algorithms for a 15% increase in efficiency.

• Conducted A/B testing on new search features, driving a 10% increase in user engagement (CTR).

• Monitored and analyzed advertising formats and tracking tools, driving 15%-20% of company revenue.

• Implemented new analytical tools and conducted A/B testing, resulting in a 25% improvement in ad performance metrics.

• Evaluated internal feature publicity, increasing usage by 5% (CTR).

• Implemented tracking and monitoring for internal promotion tools like referral programs and trustpilot rating projects.

• Evaluated the Return on Investment for a €5 million annual TV campaign budget, optimizing ROI by 18% through data insights.

• Analyzed user profile and engagement post-TV campaign, informing strategic decisions.

• Developed and maintained business dashboards using AT Internet and Tableau, enhancing data accessibility and reporting efficiency for feature teams.