Data Analyst - marketing & e-commerce at Adidas

Owned and led data strategy for sales and marketing across Eastern European departments; primary contact for data initiatives, increasing account coverage from 7% to 100% and extending reach to 17% of Central European accounts. Analyzed customer retention revealing 42% of first-time buyers return within 90 days vs 68% for loyalty members, and identified regional gaps driving an 8% QoQ boost in repeat purchases. Led a cross-functional team of data analysts and engineers, prioritized technical improvements, and aligned data initiatives with global e-commerce strategy. Designed and automated scalable data pipelines in Python (Databricks, Azure, ClickHouse, Salesforce), integrating automation tools (Airflow/Power Automate) to build DAGs. Built self-service dashboards in Power BI delivering real-time insights that improved ROAS by +22pp and retailer sales by +16pp. Automated data collection with Selenium, reducing time from a full day to minutes. Led A/B testing for campaigns, analyzed seas

Data Specialist at L'Oréal

Supported data-driven decision-making in Innovation Management; contributed to marketing strategies and recruitment outcomes. Implemented data-driven strategies leading to improved recruitment outcomes, including a notable increase in applications following strategy implementation. Interned at L'Oréal in the Innovation Management department and collaborated on innovative marketing initiatives leveraging data insights.