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 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.
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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- 5+ years of experience in analytics, business analytics, or data analysis delivering business-critical insights and reporting.
- Fluency in SQL for analysis, automation, and reproducible analytics.
- Fluency in 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 or other BI tools).
- Demonstrated exposure to AI/LLM concepts and applied use cases (prompting/evaluation, embeddings/semantic search, text analytics, or ML experimentation).
- Strong collaboration skills across cross-functional stakeholders (Product, Sales, Marketing, Account Management, Risk).
- Bachelor's degree 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).
- 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.
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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