Data Analyst Payments Analytics - Vice President
Role details
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Tech stack
Job description
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., * 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.
Requirements
- 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/TensorFlow) and/or deploying analytics into production workflows.
Benefits & conditions
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.