Taha Shah

Taha Shah

Senior Business Intelligence Analyst @ Cargomatic

About Taha Shah

Taha Shah is a Senior Business Intelligence Analyst at Cargomatic, where he has worked since 2020. He holds a Bachelor's degree in Mechanical Engineering from CMR Institute of Technology and a Master's degree in Business Analytics from Arizona State University.

Work at Cargomatic

Taha Shah has been employed at Cargomatic as a Senior Business Intelligence Analyst since 2020. In this role, he has contributed to various initiatives aimed at improving business processes and analytics. He has built Tableau dashboards that provide critical insights into operations, performance, and key performance indicators (KPIs). Additionally, he has automated the billing process, reducing invoicing lead time significantly from approximately one month to one week. His work supports informed decision-making among stakeholders and enhances revenue realization.

Education and Expertise

Taha Shah holds a Bachelor of Engineering (B.E.) in Mechanical Engineering from CMR Institute of Technology, where he studied from 2011 to 2015. He furthered his education by obtaining a Master's of Science in Business Analytics from Arizona State University - W. P. Carey School of Business, completing this program in 2020. His educational background equips him with a strong foundation in engineering principles as well as advanced analytics, which he applies in his current role.

Background

Taha Shah completed his Higher Secondary School education at Indian School Muscat, where he studied Engineering Physics/Applied Physics from 1998 to 2010. This early education laid the groundwork for his later studies in engineering and business analytics. His diverse educational background reflects a strong analytical skill set that he has developed over many years.

Achievements in Business Intelligence

In his role as a Senior Business Intelligence Analyst, Taha Shah has developed and maintained comprehensive reports for sales and marketing teams. These reports include sales quotas, run rates, budgets, forecasting, and lead scoring matrices. His contributions have led to process improvements across the business. Additionally, he has designed data pipelines and workflows by integrating multiple data sources and customer relationship management (CRM) systems, supporting advanced analytics in Marketing, Sales, and Operations.

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