Reference Data Product Analyst
J.P. Morgan
Product, IT
Ohio, USA
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).
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
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.
Reference Data Product Analyst