Data Analyst, Vice President for SMB Payments, focuses on identifying core metrics, building durable reporting, and performing analyses to guide business strategy with a focus on AI enhanced analytics and GenAI / LLM insights from unstructured data.
Responsibilities
- Identify, define, and maintain key SMB Payments performance metrics; develop scorecards and dashboards and provide recurring stakeholder reporting.
- Conduct 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 thorough documentation of metric definitions, assumptions, and data lineage.
- Collaborate with Product and commercial teams to size opportunities, monitor funnel performance, and measure outcomes of upsell and cross-sell initiatives.
- Apply LLMs and modern AI techniques to augment analytics workflows such as summarization, topic modeling and classification, semantic search, and insight extraction to shorten time-to-insight.
- Design and run LLM evaluation and monitoring for quality, robustness, latency, and cost; contribute to improving prompts, retrieval approaches, and end-to-end performance.
- Use critical thinking and advanced analytics to diagnose underperforming models and data pipelines, including data issues, drift, prompt failures, weak retrieval, and label quality.
- Partner with Product, Engineering, Data, and Risk to ensure AI-enabled solutions are secure, compliant, auditable, and reliable in production.
Requirements
- 5+ years of 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 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).
- Bachelor's degree required.
Technologies
- SQL
- Python
- Tableau
- Alteryx
- Spark
- scikit-learn
- PyTorch
- TensorFlow
Benefits
- comprehensive health care coverage
- on-site health and wellness centers
- a retirement savings plan
- backup childcare
- tuition reimbursement
- mental health support
- financial coaching
About Us
JPMorgan Chase & Co. is a long standing financial institution delivering innovative financial solutions to consumers, small businesses, and a broad range of corporate, institutional, and government clients under the J.P. Morgan and Chase brands. With a history spanning more than 200 years, the firm is a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing, and asset management.
We offer a competitive total rewards package that includes base salary determined by role, experience, skill set, and location. Eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in cash and/or equity, based on individual contributions. We also provide a range of benefits and programs to meet employee needs, subject to eligibility.
We value the strengths and diverse talents of our global workforce. JPMorgan Chase & Co. is an Equal Opportunity Employer and does not discriminate on protected attributes, including race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital or veteran status, pregnancy, disability, or any other basis.
About the Team
J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments, and institutions worldwide rely on us in more than 100 countries to provide strategic advice, capital formation, risk management, and liquidity solutions.
