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Marketing Business Analytics - Senior Associate

JPMorganChase
Full-time
On-site
Chicago, Illinois, United States
$95,000 - $150,000 USD yearly
Description

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