Reference Data Product Analyst

The Reference Data Product Analyst supports the reference data needs of Firmwide Planning & Analysis (P&A) across forecasting, reporting, and analytics.

This role serves as a bridge between P&A stakeholders and data/technology teams, ensuring reference data requirements, quality, controls, lineage, and delivery are fit for purpose, well-governed, and scalable.

The analyst is responsible for day-to-day production support and for driving strategic initiatives related to P&A reference data domains, including Organization, Product, Balance Sheet Group, and others.

Key Responsibilities


* Elicit, document, and validate business requirements for reference data enhancements and defect remediation.


* Translate needs into clear user stories, functional requirements, acceptance criteria, and process flows.


* Support agile delivery (backlog refinement, sprint activities, release readiness) and coordinate UAT (test cases, execution, defect triage).


* Perform monthly operational tasks including data validation checks, exception reviews, control evidence, and recurring reporting/metrics.


* Investigate data issues using SQL; partner with technology and stakeholders to drive root-cause remediation.


* Identify recurring break patterns and drive root-cause analysis with upstream providers and technology.


* Maintain domain documentation (definitions, hierarchies, mappings, procedures/runbooks) aligned to governance standards.


* Collaborate across Finance/Risk/Operations/Technology to standardize taxonomy and ensure consistent consumption.

Required Qualifications


* Bachelor's degree or equivalent experience.


* 2-4 years' experience in business analysis, data analysis, or data operations (reference/master data preferred).


* Strong requirements writing, stakeholder management, and testing/UAT support experience.


* Working knowledge of SQL for data validation and troubleshooting.

Preferred Qualifications


* Databricks experience (preferred) and familiarity with large-scale data platforms.


* Knowledge of reference data concepts (taxonomies, hierarchies, mappings) and data quality controls/metrics.


* Exposure to data quality/control frameworks (metrics, SLAs, reconciliations, exceptions).


* Experience in agile delivery environments and tooling (e.g., Jira/Confluence or similar).

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P.

Morgan and Chase brands.

Our history spans over 200 years and today we are 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 including base salary determined based on the role, experience, skill set and location.

Those in eligible roles may...