Summary
Samuel Dias is a data analyst with eight years of experience bridging accounting and data engineering expertise, focused on financial systems and treasury optimization. With a Master's in Science, Technology and Innovation and hands-on roles across BI, ETL, Power BI, Looker ML, BigQuery and SQL, he builds dashboards and analytics that drive KPI improvements and SLA performance. His background as a CFO assistant and creator of a surplus cash and receivables management system gives him uncommon domain depth for translating finance problems into data solutions. At companies from MontenegroLABS to Incentiv.me and now ROIT, he has combined process improvement (PDCA/OKR) with technical automation in Python and Java to streamline financial operations. Based in Paraná, Brazil, Samuel is expanding his programming skills (starting with JavaScript) while continuing to specialize in tax reform analytics and financial data models.
8 years of coding experience
Federal University of Rio Grande do Norte
Bachelor of Information Technology, interrupted graduation, Bachelor of Information Technology, interrupted graduation at Universidade Federal Rural do Semi-Árido
English