Panos Soilis is a Data Analytics Manager based in Berlin with eight years of experience building product-focused analytics and behavioral data platforms. He leads cross-functional teams that combine analytics, data engineering and product to turn front-end tracking into high-impact business insights, recently driving a migration from GA4 to a first-party Snowplow setup to improve governance and data quality. Equally comfortable as a hands-on analyst and a people manager, he splits time between mentoring, hiring and delivering ETL, A/B testing and growth analyses. His background spans eCommerce, retail and tech (Zalando, HelloFresh) and includes an MSc in Computer Science (Data Science) from TU Delft, which underpins a strong technical fluency with Python, SQL and Databricks. Not obvious from his title: he has a track record of optimizing operational processes (e.g., automation that cut maintenance time at Plaisio by 30%) and brings an end-user analyst perspective to engineering decisions.
8 years of coding experience
7 years of employment as a software developer
BSc Management Science & Technology, Specialization: Quantitative Methods in Finance, 8.64/10, BSc Management Science & Technology, Specialization: Quantitative Methods in Finance, 8.64/10 at Athens University of Economics and Business
Erasmus Exchange Student, International Business Administration, Erasmus Exchange Student, International Business Administration at University of Vienna
MSc Computer Science, Specialization: Data Science & Technology, 8.14/10, MSc Computer Science, Specialization: Data Science & Technology, 8.14/10 at Delft University of Technology
Contributions:10 commits, 5 pushes, 1 branch in 5 months
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