You will support the creation and continuous improvement of best-fit, data products and delivery solutions to make Commercial and Investment banking employees more effective and efficient in their roles, with specific focus on the Innovation Economy ecosystem and institutional investor segment broadly. You will partner closely with business process integration leads to deliver solutions using a combination of existing data assets and also identify new capabilities that need to be developed - in some cases, directly supporting the new capability development. As the role brings together aspects of product management and business process/operations, you will work in a dynamic cross-functional environment. You must have superior data analysis skills and the ability to articulate business impacts and formulate recommendations.

Job Responsibilities:

• Collaborate with Executive Management end users, Business Process Integration leads, Technology partners, developers, and other stakeholders
• Analyze various JPMC and 3rd party data sources to inform strategies and turn data discoveries and process into operational capabilities
• Articulate analytical findings in clear and concise manner tailored to very different audiences
• Be flexible and comfortable managing evolving analytical requirements continuously learning quickly on the job
• Constantly drive to become SME on CIB Data Team data model and capabilities

Required Qualifications, Skills and Capabilities:

• Degree qualified
• Must be highly analytical and have strong communication and presentation skills
• Work experience across broad range of analytics tools; demonstrated advanced Excel is a must; Alteryx, Tableau/Qlik, supported by ability to code in SQL and/or Python/R
• Experience with 3^rd party data relevant to Commercial and Investment Banking
• Experience in data analysis, data management, technology development, ML analytical technology and/or comparable business integration concepts
• Demonstrated ability to identify and articulate organizational practices in data capture and usage to design pragmatic and best fit enhancements
• Ability to partner effectively across multiple workstreams with complex interdependencies and stakeholders of varying seniority