Data Analyst Payments Analytics - Vice President

We are seeking a Data Analyst to elevate our analytics capabilities, strengthen core reporting, and help design and operationalize AI-augmented analytics that improve how we understand partner and merchant behavior and outcomes.

As a Data Analyst in SMB Payments , you will play a pivotal role in identifying key metrics, building durable reporting, and conducting comprehensive analyses to inform business strategies.

You will work collaboratively with cross-functional teams-including Product, Sales, Marketing, Account Management, and Risk-to drive product upselling and cross-selling, enhancing both partner and merchant experiences.You will also contribute to the team's LLM/AI analytics roadmap by applying GenAI thoughtfully to unlock insights from unstructured and semi-structured data (e.g., call notes, tickets, feedback, emails where permitted), automate narrative generation, and improve analytic workflows-while ensuring strong controls, data privacy, and measurable quality.

The JPMorganChase SMB Payments Analytics team is dedicated to cultivating a data-driven culture and empowering fact-based decision-making.

Our Business Analytics division champions this mission by delivering data, insights, and scalable reporting-while also accelerating the integration of modern analytics techniques, including LLM/GenAI-enabled insights, into everyday decisioning.

Job Responsibilities


* Identify, define, and maintain core SMB Payments performance metrics; build scorecards/dashboards and recurring reporting for stakeholders.


* Perform deep-dive analyses to surface trends, drivers, and root causes; translate findings into clear narratives and recommended actions.


* Build scalable datasets and self-service analytics assets with clear documentation (metric definitions, assumptions, and data lineage).


* Partner with Product and commercial teams to size opportunities, monitor funnel performance, and measure outcomes of upsell/cross-sell initiatives.


* Apply LLMs and modern AI techniques to augment analytics workflows (e.g., summarization, topic modeling/classification, semantic search, insight extraction) and reduce time-to-insight.


* Help design and run LLM evaluation and monitoring (quality, robustness, latency, cost) and contribute to improving prompts, retrieval approaches, and end-to-end performance.


* Use critical thinking and advanced analytics to diagnose underperforming models/pipelines (data issues, drift, prompt failures, weak retrieval, label quality).


* Collaborate with partners across Product, Engineering, Data, and Risk to ensure AI-enabled solutions are secure, compliant, auditable, and reliable in production.

Required Qualifications, Capabilities, and Skills


* 5+ years of experience in analytics, business analytics, or data analysis delivering business-critical insights and reporting.


* Fluency in SQL and Python for analysis, automation, and reproducible analytics.


* Strong ability to fra...