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

JPMorgan Chase & Co. — Analyst, AI for Tech

JPMorgan Chase’s Commercial & Investment Bank (CIB) is seeking an Analyst on our AI for Tech initiative. CIB is investing heavily in AI tooling and adoption across the software engineering lifecycle. You will design, build, and produce analysis to quantify software engineering throughput, understand business outcomes, and assess the contribution of GenAI to those outcomes. This work will support culture change efforts for AI usage by software engineers, guiding cultural transformation through data-driven evidence and insights.

As a Strategy Analyst in our CIB Tech Strategy and Execution team, you will take a hands-on builder role at the intersection of strategy, engineering, and data. You will own core parts of the data foundation and work iteratively to turn ambiguous questions into scalable data and insight. In addition to measurement work, you may support other AI for Tech strategic priorities as business needs evolve. This role requires quantitative problem solving, data engineering skills, and analytical curiosity to use data to shape organizational change management. Your analytical insights and outputs will be consumed by senior leaders of CIB’s technology organization.

Job Responsibilities

• 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 to accurately reflect how software is delivered across teams.
• Drive improvements in data quality, consistency, and alignment of definitions across multiple engineering data sources.
• Develop metrics and analyses from data, validating 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 meet the needs of different customer groups.
• Partner closely with engineers, data scientists, and central global technology teams.
• Support vendor strategy decisions.

Required Qualifications, Capabilities, and Skills

• 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, and Databricks building and maintaining data ingestion and transformation pipelines.
• Experience with data visualization tools such as Tableau, Sigma, and QlikView.
• Strong Excel data modeling 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 Qualifications, Capabilities, and Skills

• Preferred background in data analytics/engineering within a strategy or consulting context.