Description About J.P. Morgan JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. About Digital and Platform Services and CIB Chief Data & Analytics Office Digital and Platform Services (D&PS) within the Commercial & Investment Bank (CIB) was created in September 2018 with the vision to create a commercial platform that can seamlessly deliver all of J.P. Morgan’s capabilities to clients when and how they want it. As a unified organization, D&PS aligns J.P. Morgan CIB technology, data, digital solutions, and operational services to provide an unparalleled experience. The CIB Chief Data & Analytics Office (CIB CDAO) is a multi-disciplinary team tasked to enable the CIB of the future, powered by Data & Analytics. We enable the CIB businesses on the journey of data-driven business transformation, through Artificial Intelligence and Machine Learning techniques, coupled with the latest data science infrastructure and delivery of high-quality and compliant data, to harness the power of data and solve our most challenging business problems. Role Responsibilities: The Portfolio Management & Coordination team for the CIB Chief Analytics Office (CAO) is responsible for the end-to-end coordination of the analytics operating model in the entire CIB and for driving high priority accelerator analytics initiatives. As an associate in the team you will support delivery of the CIB’s strategic priorities, providing portfolio governance, and analysis across our book of work to create insights and analytical solutions that answer critical business questions and enable the wider AI/ML Community. Job Responsibilities Some of the responsibilities include but are not limited to: Responsible for reporting on the CIB CAO Book of Work including supporting the prioritization, management reporting, dashboards and analytics Create intuitive and interactive data visualizations to present complex information to stakeholders and ensure that data and analytics are available with high levels of accuracy to drive decisions and business outcomes for CIB Conduct analyses on CIB Analytics data to answer business questions from multiple stakeholders and to enable evidence based decision making Capture and understand end-user requirements, translate into customized analytical solutions, communicate insights via reports, dashboards, visualization etc. Support delivery of the CIB analytics operating model in partnership with the in-business CAOs Support coordination, collation and tracking of KPIs and costs/benefits Support key transformational analytics initiatives, gather requirements, track deliverables, define project scope, and establish success criteria Scope problems, identify major issues and actionable opportunities to design solutions Work with multiple teams across CDAO, Lines of Business and support functions to drive delivery, evaluate strategies and insights, alignment on priorities and data accuracy Qualifications: Attention to detail, rigor, and robustness in data analytics and results Excellent oral and written communication and the ability to convey complex information simply and clearly Able to deliver to conclusion multiple initiatives across a diverse group of partners, with the ability to manage multiple deliverables and work under pressure Driven with a curious mindset and a high tolerance to ambiguity Demonstrated ability to create custom solutions that solve business problems Demonstrated experience in presenting reports, insights, and data analytics findings Hands-on expertise in at least three of the following: Data analytics and visualization tools (e.g., Tableau, Qlik) Advanced excel skills (e.g., pivot tables, Analysis ToolPak) Data wrangling, workflows, and automation (e.g., SQL, Alteryx, Business Objects, etc.) Statistical software and coding languages (e.g., Python, R) Versatile in learning and picking up different software, tools, methodologies, and coding languages Relevant experience in data & analytics topics in consulting, client engagement, or project execution