Mateusz Puka
About Mateusz Puka
Mateusz Puka is an Associate Director and Business Intelligence Developer/Analyst at UBS, with a strong background in business intelligence and reporting from his previous roles at IBM. He holds a Master's and Bachelor's degree in Finance and Accounting from Uniwersytet Ekonomiczny we Wrocławiu.
Current Role at UBS
Mateusz Puka serves as a Business Intelligence Developer/Analyst at UBS, holding the position of Associate Director since 2020. He is based in Wrocław, Woj. Dolnośląskie, Poland. In this role, he acts as a technical liaison between the Data Warehouse team and Service Managers, facilitating effective communication and ensuring the successful execution of projects. His responsibilities include developing KPI reports using Tableau, which enhances data visualization and supports decision-making processes.
Previous Experience at IBM
Mateusz Puka has extensive experience at IBM, where he held multiple roles over several years. He worked as a Global Measurements & Reporting Expert from 2016 to 2019, followed by a position as Reporting Lead / BI Business Analyst from 2019 to 2020. Prior to these roles, he served as a Measurements & Reporting Advisory Service Coordinator from 2015 to 2016 and as a Measurements & Reporting Service Coordinator from 2014 to 2015. His career at IBM began as a Junior Business Operations Specialist in 2014 and included a brief stint as a Trainee in the Finance Department in 2013.
Education and Expertise
Mateusz Puka studied at Uniwersytet Ekonomiczny we Wrocławiu, where he earned both a Bachelor and a Master in Finance & Accounting. He completed his Bachelor's degree from 2009 to 2012 and his Master's degree from 2012 to 2014. His academic background provides a strong foundation for his expertise in business intelligence and data analytics.
Skills in Business Intelligence
In his professional roles, Mateusz Puka has developed skills in creating comprehensive metrics and analytics that provide valuable insights for business strategies. He identifies process improvement opportunities, which drive operational efficiency and effectiveness. Additionally, he supports the Data Warehouse team in the ETL process, contributing to efficient data extraction, transformation, and loading.