Darren Mac Callum
About Darren Mac Callum
Darren Mac Callum is a Senior Decision Scientist at MD Financial Management in Ottawa, Ontario, where he has worked since 2020. He specializes in transforming data into actionable insights using tools like Alteryx and Tableau, and has a background in performance measurement and reporting.
Work at MD Financial Management
Darren Mac Callum has been employed at MD Financial Management | Gestion financière MD since 2020, serving as a Senior Decision Scientist. In this role, he focuses on transforming disparate data into actionable insights through comprehensive analytics processes. He utilizes tools such as Alteryx and Tableau on a daily basis to develop visualizations tailored for various stakeholders, including KPI dashboards and Risk & Compliance dashboards. Prior to his current position, he worked as a Performance Measurement & Reporting Analyst at the same organization from 2013 to 2020.
Education and Expertise
Darren Mac Callum earned a Bachelor of Commerce (B.Com.) degree in International Business from Saint Mary's University, where he studied from 1991 to 1995. His educational background provides a solid foundation for his expertise in data analytics and decision science. He has developed proficiency in various analytical tools, including Python, SQL, Microsoft Power BI, and Microsoft Access, which complement his primary focus on Alteryx and Tableau.
Background
Before joining MD Financial Management, Darren Mac Callum held the position of HR Service Centre Manager at Bank of America from 2009 to 2012. This role contributed to his understanding of organizational dynamics and data management. His career at MD Financial Management began in 2013, where he initially worked as a Performance Measurement & Reporting Analyst for seven years before advancing to his current role.
Technical Skills and Tools
Darren Mac Callum specializes in utilizing various data analytics tools to enhance decision-making processes. He employs Alteryx and Tableau extensively in his daily work, focusing on creating visual representations of data that inform stakeholders. His technical skill set also includes experience with Python, SQL, Microsoft Power BI, and Microsoft Access, enabling him to handle complex data sets and perform in-depth analysis.