Analyst, Data Analytics, Commercial & Investment Bank, Tech Strategy and Execution

JPMorgan Chase’s Commercial & Investment Bank is seeking an Analyst for its AI for Tech initiative. The role will build data foundations, pipelines, metrics, and analyses to measure software engineering throughput, business outcomes, and the contribution of GenAI, while supporting technology strategy and organizational change management.

What you'll do:

• Build and maintain scalable data ingestion and transformation pipelines that connect source engineering systems into an analytical foundation
• Design and evolve the engineering measurement data model, ensuring it accurately reflects how software is delivered across teams
• Drive improvements in data quality, consistency, and definition alignment across multiple engineering data sources
• Develop metrics and analyses from data, pressure-testing them with engineers to ensure measurement reflects real delivery behavior
• Translate requirements into concrete analytical deliverables that can be iterated quickly as leadership priorities evolve
• Engage technology and business stakeholders across Markets, Payments, Security Services, and Global Banking to ensure measurement outputs reflect the needs of different customer groups
• Partner closely with engineers, data scientists, and central global technology teams
• Support vendor strategy decisions

What they're looking for:

• Bachelor's or Master's degree in a quantitative or technical field (e.g. Computer Science, Data Science, Mathematics, Statistics)
• Extensive hands-on experience with Python, SQL, Spark, Databricks building and maintaining data ingestion and transformation pipelines
• Experience with data visualization tools such as Tableau, Sigma, Qlikview
• Strong Excel data modelling skills
• Fluency in software engineering and domain understanding of the software development lifecycle (SDLC)
• Strong problem-solving skills to work from ambiguous open-ended questions, and communicate clearly to senior stakeholders
• Preferred background in data analytics / engineering within a strategy or consulting context

Benefits:

• Commission-based pay for eligible roles
• Discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, for eligible roles
• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching