Technical Data Analyst (Master Data Management / Financial Data)
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Job description
Seeking an experienced Technical Data Analyst to support enterprise-wide Master Data Management (MDM) initiatives within Brown Brothers Harriman’s Data organization. The role focuses on managing Security Master, Account, Client, Benchmark, and other financial reference data domains, supporting enterprise data modernization, cloud data platforms, data integration, governance, and analytics initiatives. The ideal candidate will possess strong financial data domain knowledge, advanced SQL skills, and experience working with enterprise data warehouses, MDM platforms, and modern cloud-based data ecosystems.
Requirements
- Strong Financial Services / Asset Management domain experience is required.
- Hands-on Master Data Management (MDM) experience is mandatory.
- Experience with Security Master, Account, Client, and Benchmark data domains is highly preferred.
- Strong SQL and enterprise data analysis experience required.
- Experience with GoldenSource or similar MDM platforms is a big plus.
- Exposure to Databricks, Spark, Azure/AWS cloud data platforms is preferred., * 5 6+ years of Technical Data Analysis or Data Engineering experience.
- Strong Master Data Management (MDM) expertise.
- Experience with Security Master, Client, Account, Benchmark, and Reference Data.
- Financial Services / Asset Management / Banking domain experience.
- Strong SQL and large-scale data analysis skills.
- Experience with GoldenSource or similar enterprise MDM platforms.
- Data Mapping, Data Lineage, Source-to-Target Mapping, and Reconciliation.
- Data Warehousing, Data Modeling, and Enterprise Data Integration.
- Experience with Databricks, Spark, Data Lake, or Cloud Data Platforms.
- Knowledge of Metadata Management, Data Governance, and Data Quality.
- Excellent communication and stakeholder management skills.
Skills
- Asset Management, Wealth Management, Custody, or Fund Accounting experience.
- Experience with enterprise cloud migration or data modernization initiatives.
- Azure or AWS cloud data ecosystem exposure.
- Experience supporting enterprise analytics and reporting platforms.
- Strong documentation and cross-functional collaboration skills.
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