Technical Data Analyst Financial Services, MDM, Golden Source exp

Technical Data Analyst

Location:

Jersey City, NJ or Boston (3 days onsite, onsite interview required). No sponsorship; USC and GC only.

• Act as a Subject Matter Expert for MDM initiatives across Security Master, Account, Client, Benchmark, and related financial data domains.
• Analyze, profile, and document enterprise data flows, business rules, and data lineage across financial systems and platforms.
• Contribute to the development and execution of the organization’s data strategy, aligning data initiatives with business goals.
• Support enterprise MDM implementation and modernization initiatives involving legacy and cloud-native data platforms.
• Support the implementation of scalable data architecture and frameworks to enable advanced analytics and reporting.
• Perform detailed data analysis, data mapping, source-to-target mapping, and reconciliation activities across multiple financial data sources.
• Collaborate with data architects, engineers, governance teams, and business stakeholders to define and manage enterprise master and reference data standards.
• Support integration of MDM platforms and legacy financial systems into enterprise data lake, warehouse, and cloud data ecosystems.
• Develop strong familiarity with enterprise financial datasets and serve as trusted data SME for downstream analytics, operational, and reporting teams.
• Work with market data providers, internal operational systems, accounting platforms, and external reference data feeds to ensure data consistency and accuracy.
• Support data quality initiatives including validation, issue analysis, exception management, and governance processes.
• Partner with engineering and platform teams supporting cloud-based data platforms and modern data architecture initiatives.
• Assist in defining data governance standards, metadata management, lineage tracking, and operational data controls.
• Support enterprise reporting, analytics, risk, compliance, and operational data initiatives.

• 5–6 years of experience in data analysis, data engineering, or a related technical role.
• Strong experience in MDM and enterprise data analysis.
• Drive initiatives around data standardization, metadata management, and data cataloging.
• Expertise with financial master and reference data domains including Security Master, Account, Benchmark, Client, and related datasets.
• Experience with MDM platforms such as Golden Source or similar solutions.
• Strong understanding of financial services data ecosystems and operational data flows.
• Experience with fund accounting, wealth management, custody, investment operations, or related platforms.
• Understanding of data modeling, data warehousing, and data integration concepts.
• Familiarity with market data providers, reference data feeds, and financial instrument data structures.
• Experience performing data mapping, source-to-target analysis, reconciliation, and data lineage documentation.
• Strong SQL and data analysis skills capable of analyzing large and complex datasets.
• Understanding of enterprise data warehouse, data lake, and modern cloud data platform architectures.
• Familiarity with cloud-based data platforms and technologies including Databricks, Spark, and distributed data environments.
• Experience collaborating with data engineering, architecture, governance, and analytics teams.
• Knowledge of metadata management, data quality, and governance processes.
• Experience supporting data integration initiatives across legacy and modern enterprise platforms.
• Understanding of financial industry regulatory, operational, and reporting data requirements within U.S. financial institutions.

• Experience in Financial Services, Asset Management, Wealth Management, or Banking industry.
• Exposure to enterprise data modernization and cloud migration initiatives.
• Familiarity with Azure, AWS, or other cloud-native data ecosystems.
• Experience supporting analytics, reporting, and enterprise data consumption platforms.
• Strong communication, documentation, and stakeholder management skills.
• Ability to function as trusted SME within enterprise data programs and cross-functional initiatives.

Bachelor’s degree in Computer…