Technical Data Analyst

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I hope you are doing well.

Please find the job details below:

Job Title: Technical Data Analyst
Location: Jersey City NJ

• 5 6 years of experience in Data Analysis Data Engineering or a related technical role.

• Strong experience with Master Data Management (MDM) and enterprise data analysis.

• Expertise in financial master and reference data domains including Security Master Account Benchmark Client and related financial datasets.

• Experience with enterprise MDM platforms such as GoldenSource 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 financial platforms.

• Strong SQL skills with experience analyzing large and complex datasets.

• Experience with data mapping source-to-target mapping reconciliation and data lineage documentation.

• Understanding of data modeling data warehousing and enterprise data integration.

• Familiarity with cloud data platforms including Databricks Spark Azure AWS or similar technologies.

• Knowledge of metadata management data governance and data quality processes.

• Bachelors degree in Computer Science Information Systems Finance Engineering Mathematics or a related field.

Schedule: Standard

We are seeking an experienced Technical Data Analyst with expertise in Master Data Management (MDM) financial data domains and enterprise data platforms within the Financial Services industry. The role supports enterprise data initiatives focused on Security Master Account Benchmark Client and other critical master and reference data domains while driving data modernization and cloud transformation initiatives.

• Serve as a Subject Matter Expert (SME) for Master Data Management (MDM) across Security Master Account Client Benchmark and related financial data domains.

• Analyze profile and document enterprise data flows business rules and data lineage.

• Support enterprise MDM implementation and modernization initiatives.

• Perform data analysis source-to-target mapping reconciliation and integration across multiple financial systems.

• Collaborate with data architects engineers governance teams and business stakeholders.

• Support integration of legacy financial systems into enterprise data warehouses data lakes and cloud platforms.

• Drive data quality governance metadata management and operational controls.

• Partner with engineering teams supporting Databricks Spark and cloud-native data platforms.

• Support enterprise reporting analytics risk compliance and operational data initiatives.

• Work with market data providers and financial reference data feeds to ensure data consistency and accuracy.

• Financial Services Asset Management Wealth Management or Banking industry experience.

• Exposure to enterprise data modernization and cloud migration initiatives.

• Experience with Azure AWS Databricks Spark and distributed data environments.

• Strong stakeholder management communication and documentation skills.

• Ability to function as a trusted SME within enterprise data programs and cross-functional initiatives.