Małgorzata Amo Vidal
About Małgorzata Amo Vidal
Małgorzata Amo Vidal is a BI & Data Analyst at UBS in Cracow, Poland, where she has worked since 2022. She has a background in various roles at UBS, including Management Support Officer and Automation Solutions Developer.
Work at UBS
Małgorzata Amo Vidal has been employed at UBS since 2012, holding various positions over the years. Currently, she serves as a BI & Data Analyst, a role she has occupied since 2022 in Cracow, Małopolskie, Poland. In this position, she leads a small team focused on developing web applications and maintaining automation processes. Prior to her current role, she worked as an Automation Solutions Developer (RPA) from 2019 to 2022 and as a Management Support Officer in Group Internal Audit from 2016 to 2019. Her career at UBS began as an Operational Risk Reporting Specialist, where she worked from 2012 to 2016.
Education and Expertise
Małgorzata Amo Vidal possesses expertise in data analysis and business intelligence, with a strong background in web application development. She utilizes programming languages such as Python, HTML, CSS, and JavaScript to create web applications within an agile framework. Her experience spans various roles that involve automation and risk reporting, showcasing her proficiency in operational risk management and data-driven decision-making.
Background
Małgorzata Amo Vidal is based in Cracow, Małopolskie, Poland. She has built a career at UBS over more than a decade, transitioning through several roles that have enhanced her skills in data analysis, automation, and web development. Her professional journey reflects a commitment to leveraging technology to improve operational efficiency and support business objectives.
Achievements
Throughout her tenure at UBS, Małgorzata Amo Vidal has contributed to various projects that involve web application development and automation solutions. Her leadership in her current role as a BI & Data Analyst demonstrates her ability to manage teams and drive initiatives focused on technology and data analysis. Her previous roles have also equipped her with a comprehensive understanding of operational risk and management support.