Reference Data Analyst

Join a dynamic team at JP Morgan focused on delivering innovative market data solutions for internal clients across Asset & Wealth Management.
Drive the management and enhancement of centralized analytics data, supporting business growth and operational excellence.
Job Summary
As an Analyst within the Reference Data Management - MDA Ops Team, you support the delivery of internal client demands across Asset and Wealth Management Lines of Business at JP Morgan. You will help build and manage a centralized repository for Environmental, Social, and Governance (ESG), Funds, Corporate, and Instrument analytics data sourced from third-party vendors and internal sources. Your role ensures high-quality data, timely issue resolution, and effective collaboration with stakeholders and vendors.
Job Responsibilities
Become an SME across all vendor datasets to support analysis and resolve consumer queries
Develop expertise in ESG, Funds, corporate, and instrument analytic data in MDA
Define and enhance business rules to identify critical data exceptions and publish alerts
Support onboarding of new products and consumers to MDA
Research and route data issues identified by consumers and DQ alerts for resolution
Analyze and document consumer data usage patterns to escalate critical health checks
Collaborate with technology and product teams for change and production releases
Help vendors improve data quality by highlighting recurring patterns, data inconsistencies and potential data health checks or process changes to improve data at source
Maintain inventory of vendor data incidents, feedbacks and resolution status
Profile new data sets to identify and document characteristics required to build logical data models, data quality checks and exception alerts aligned to consumer priorities
Ensure SOPs are updated and proper controls are in place to reduce risks
Required Qualifications, Skills and Capabilities
2+ years of experience in Financial Services with a background in Data Management, Data Quality, or Business Analysis
Proficiency in manipulating and analyzing large data sets in Excel (pivots, formulas, charts)
Strong analytical, problem-solving, and strategic thinking skills
Excellent communication, presentation, and influencing skills across virtual teams
Preferred Qualifications, Skills and Capabilities
Experience in AWM or CDO/Data Quality/Data Management functions
Ability to query large databases using SQL for data analysis
Experience producing PowerPoint presentations for senior audiences
Exposure to tools and technologies such as UiPath, Alteryx, or Tableau