Data Analyst Analytics - Vice President
Job in
Plano, Collin County, Texas, 75023, USA
Listed on 2026-07-26
Listing for:
JPMorgan Chase & Co.
Full Time
position Listed on 2026-07-26
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, AI Engineer (Applied/Software), Data Scientist
Job Description & How to Apply Below
:
Category:
Predictive Science
Job Schedule:
Full time
Posted Date: T21:32:43+00:00
Job Shift:
:
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 JPMorgan
Chase 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 frame ambiguous business problems, design analyses, and communicate results to both technical and non-technical audiences.
* Experience building dashboards and visualizations (e.g., Tableau; other BI tools acceptable).
* Demonstrated exposure to AI/LLM concepts and applied use cases (prompting/evaluation, embeddings/semantic search, text analytics, or ML experimentation) with a strong interest in expanding hands-on delivery.
* Strong collaboration skills across cross-functional stakeholders (Product, Sales, Marketing, Account Management, Risk).
Preferred Qualifications , Capabilities, and Skills
* Bachelor's degree (Master's a plus) in Computer Science, Statistics, Economics, Mathematics, Engineering, or related field (or equivalent experience).
* Knowledge of consumer/retail banking and/or payments products (SMB/payments domain strongly preferred).
* Working knowledge of Alteryx and advanced Tableau development.
* Experience with big data and modern data ecosystems (e.g., Spark, cloud data platforms, distributed querying).
* Experience with ML/AI tooling (e.g., scikit-learn, PyTorch/Tensor Flow) and/or deploying analytics into production workflows.
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