Reference Data Product Analyst

JPMorgan Chase & Co.•Columbus, OH

About The Position

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.

Requirements

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.

Nice To Haves

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).

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.