JPMorgan Marketing Business Analytics - Senior Associate 

United States, Illinois, Chicago 

342581687

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