Join the Commercial Bank in a Business Analytics Senior Associate role to support the Global Services function!

As a Business Analytics Senior Associate within the Data Analytics team, you will be responsible for managing strategy and operational insights for the Commercial Bank's Global Services function. This high-visibility role involves direct interaction and partnership with various senior stakeholders. You will gain knowledge of core business processes and develop the necessary people, process, and technology components to support a top-tier program. Additionally, you will lead the development of C-suite/Executive presentations and targeted analytics to provide insights into the health of the business.
 

Job responsibilities

Define, monitor, and report key managements metrics around the health of a global operations program Manage a complex analytics book of work, leveraging rigorous project management discipline Partner with senior leaders in advancing business analytics agenda to deliver in areas around operational efficiency, cost modeling, capacity planning, quality enhancements, etc. Define, design, and manage high priority strategic initiatives with senior level visibility in areas above Develop a deep understanding of technical systems and business processes to extract  data driven insights while identifying opportunities for engineering enhancements Develop strong partnerships with tech, application owners and data management teams to align on a roadmap for continual improvement e.g. advanced analytics, cloud adoption etc.

 Required qualifications, skills and capabilities

5+ years of total experience within Analytics, MIS, Marketing and/or Management Consulting roles Strong quantitative and problem-solving skills Knowledge and experience with various analytical and business intelligence tools Hands-on experience in the use of data to solve complex business problems, leveraging toolsets such as:  Qlik Sense, Tableau, Python, R, SQL Undergraduate degree in a quantitative field

Preferred qualifications, skills and capabilities

Financial services experience  Experience in Big Data/ Cloud platforms and technologies (AWS, Hadoop, Hive, Pig, Spark, etc.)  Advanced education