Pablo M.
About Pablo M.
Pablo M. is an Assistant Manager of Advanced Analytics at Aquent, where he has worked since 2018. He has a diverse background in financial analysis and data insights, with experience in various roles across multiple companies in the Detroit area.
Current Role at Aquent
Pablo M. serves as the Assistant Manager of Advanced Analytics at Aquent. He has held this position since 2018, contributing to the company's analytical capabilities for six years. In this role, he plays a significant part in enhancing the accuracy, performance, and efficiency of existing dashboards. He regularly presents analytical findings to Executive Leadership, ensuring that data-driven insights inform strategic decisions.
Previous Experience in Analytics
Prior to his current role, Pablo M. worked at Aquent as a Marketing Performance Analytics Associate from 2016 to 2018. His earlier positions include serving as a Data & Insights Specialist and later as a Data & Insights Lead at iProspect, where he worked from 2013 to 2016. His experience spans various analytical roles, allowing him to develop a comprehensive understanding of data analytics and insights.
Professional Background in Finance and Analysis
Pablo M. has a diverse background in finance and analysis, having worked in several roles before joining Aquent. He was a Financial Analyst and Reports Specialist at The Bartech Group from 2006 to 2012. He also served as a Cost Analyst at TechCentral from 2003 to 2006 and as a Reporting Tools & Systems Analyst at Carat for a brief period in 2012. His early experience includes an International Finance Co-op position at Valenite from 2001 to 2003.
Education and Expertise
Pablo M. earned a Bachelor's of Science in Finance from Oakland University, where he studied from 1998 to 2002. His academic background laid the foundation for his analytical skills and expertise in financial analysis. He has developed proficiency in ETL processes using Teradata, Hadoop, and SQL Server, as well as expertise in visualization software such as Tableau, Power BI, and R Markdown.