Finance & Business Management - Senior Associate

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 110,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. is seeking a data engineering professional to drive automation and modernize lending finance analytics.

You will design and maintain scalable data pipelines using SQL, Python, and Databricks, transforming complex lending and pricing data into decision-ready insights for Finance, Risk, Product, and Technology teams. You will build executive-grade dashboards in Tableau to support governance and speed, implement rigorous data quality and lineage, and collaborate across source

Qualifications

• Bachelor's degree in a quantitative field.
• Advanced SQL proficiency with clean, efficient code.
• Production-level Python for data transformation and automation.
• Experience with Databricks or equivalent cloud data platforms.
• Mastery of Tableau, Power BI or equivalent dashboards with automated refresh.

Responsibilities

• Own and execute the automation roadmap for BB Lending Finance — identify manual reporting and analytical processes and replace with scalable, governed solutions.
• Build and maintain production-grade data pipelines using SQL, Python, and Databricks that ingest, transform, validate, and serve financial data reliably at scale.
• Design and build executive-grade dashboards in Tableau and other visualization tools to guide decisions with narrative discipline.
• Implement data quality checks, source-to-target validation, data lineage documentation, and business rules for traceability.
• Respond rapidly to new requirements from the financial intelligence team — scope, build, test, and deploy with quality and controls.
• Leverage AI-assisted development tools to accelerate build quality, code documentation, and pipeline efficiency.
• Partner with Technology and Data Engineering to integrate financial data across sources with sound data modeling and governance.
• Identify opportunities to modernize financial operations and management reporting through data centralization and automation.

Skills

Advanced SQL

Python for data pipelines

Databricks

Tableau/Power BI

Data quality & governance

Finance stakeholder communication

Attention to detail

Education

Bachelor's degree in Computer Science / Data Science / Statistics / Engineering

Tools

Databricks

Snowflake / Azure / AWS

Tableau

Power BI

Job description

Job Summary

Bring your data engineering and modernization expertise to a role where your pipelines, automation solutions, and dashboards directly power small business lending decisions. You’ll join a team that turns complex lending portfolio and pricing data into clear, decision-ready intelligence. Partnering closely with Finance, Risk, Product, and Technology, you’ll help build the automated infrastructure that keeps the financial intelligence function running with speed, precision, and strong governance. If you thrive on replacing manual processes with scalable solutions and take pride in outputs that are both technically sound and business-ready, you’ll find meaningful impact here.

Job Responsibilities:

• Own and execute the automation roadmap for BB Lending Finance — identifying manual reporting and analytical processes and replacing them with scalable, governed, automated solutions.
• Build and maintain production-grade data pipelines using SQL, Python, and Databricks that ingest, transform, validate, and serve financial data reliably at scale.
• Design and build executive-grade dashboards in Tableau and other visualization tools, applying visual hierarchy, narrative discipline, and audience awareness to guide decisions — not just display data.
• Implement data quality checks, source-to-target validation, data lineage documentation, and business rules so every number on every dashboard is traceable and defensible.
• Respond rapidly to new requirements from the financial intelligence team — scope, build, test, and deploy without sacrificing quality or controls.
• Leverage AI-assisted development tools to accelerate build quality, code documentation, and pipeline efficiency.
• Partner with Technology and Data Engineering teams to integrate financial data across source systems using sound data modeling, dimensional design, and governance practices.
• Identify opportunities to modernize financial operations and management reporting through data centralization and the development of intelligent, automated solutions.

Required qualifications, capabilities, and skills:

• 4+ years of progressive experience in data engineering, analytics engineering, or a related technical field.
• Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field.
• Advanced SQL proficiency — clean, efficient, and readable code.
• Production-level Python for data transformation, pipeline automation, and analytical tooling.
• Hands‑on experience with Databricks or an equivalent cloud data platform such as Snowflake, Azure, or AWS.
• Demonstrated mastery of Tableau, Power BI, or equivalent — including data modeling, automated refresh, drill‑through design, and a portfolio of dashboards you can defend.
• Data quality and governance experience — validation frameworks, reconciliation processes, source‑to‑target mapping, and lineage documentation.
• Strong communication skills — able to translate a technical constraint or data quality issue into plain language a finance stakeholder understands and trusts.
• Quality obsession and aesthetic judgment — knows the difference between a dashboard that informs and one that overwhelms, and never confuses the two.
• Strong attention to detail with a well‑organized, solutions‑oriented approach.

Preferred qualifications, capabilities and skills

• Experience supporting a financial intelligence, FP&A, or pricing analytics function in a banking or financial services environment.

• Familiarity with lending portfolio analytics, including performance metrics and profitability frameworks.
• Experience with AI‑assisted coding tools and exposure to agentic AI concepts, with practical experience applying AI agents to automate multi‑step analytical or reporting workflows.
• Experience designing data models for financial reporting.

• Advanced degree in a quantitative field is a plus.

• To be eligible for this role, you must be authorized to work in the United States. We do not offer any type of employment‑based immigration sponsorship for this role. Likewise, JPMorgan Chase & Co. will not provide any assistance or sign any documentation in support of any other form of immigration sponsorship or benefit, including optional practical training (OPT) or curricular practical training (CPT).