Business Analyst with Golden Source
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst with Golden Source in New Jersey/New York, offering a contract length of "unknown" and a pay rate of "unknown." Requires 3–7 years in financial services, 2+ years with Golden Source, and strong data governance skills.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Jersey City, NJ
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🧠 - Skills detailed
#UAT (User Acceptance Testing) #Data Quality #Agile #Scala #Documentation #Business Analysis #Compliance #Data Lineage #Scrum #SQL (Structured Query Language) #Data Analysis #Stories #SQL Queries #Data Governance
Role description
Role: Business Analyst with Golden Source
New Jersey/New York
Key Responsibilities:
• Gather and document business requirements for reference data systems, focusing on GoldenSource implementations.
•
• Work closely with business stakeholders (Operations, Compliance, Risk, Front Office) to identify needs and provide scalable solutions.
•
• Translate requirements into functional specifications, user stories, and workflows.
•
• Coordinate with technical teams to ensure accurate implementation of business rules and processes in GoldenSource.
•
• Perform gap analysis between current and target state processes.
•
• Support testing efforts including UAT planning, execution, and issue tracking.
•
• Maintain GoldenSource configuration including rules, workflows, and data models as needed.
•
• Create and maintain system documentation, training materials, and support knowledge bases.
•
• Serve as a liaison between business units and IT for data quality, governance, and integration projects.
Required Skills and Experience:
• 3–7 years of experience as a Business Analyst in the financial services industry.
•
• 2+ years of hands-on experience with Golden Source or similar EDM platforms.
•
• Strong understanding of financial reference data (e.g., securities, instruments, issuers, prices, corporate actions).
•
• Proficient in writing BRDs, FRDs, user stories, and process flows.
•
• Solid understanding of data governance, data quality, and data lineage.
•
• Experience working in Agile/Scrum environments.
•
• Strong communication and stakeholder management skills.
•
• Ability to write and execute SQL queries for data analysis is a plus.
Role: Business Analyst with Golden Source
New Jersey/New York
Key Responsibilities:
• Gather and document business requirements for reference data systems, focusing on GoldenSource implementations.
•
• Work closely with business stakeholders (Operations, Compliance, Risk, Front Office) to identify needs and provide scalable solutions.
•
• Translate requirements into functional specifications, user stories, and workflows.
•
• Coordinate with technical teams to ensure accurate implementation of business rules and processes in GoldenSource.
•
• Perform gap analysis between current and target state processes.
•
• Support testing efforts including UAT planning, execution, and issue tracking.
•
• Maintain GoldenSource configuration including rules, workflows, and data models as needed.
•
• Create and maintain system documentation, training materials, and support knowledge bases.
•
• Serve as a liaison between business units and IT for data quality, governance, and integration projects.
Required Skills and Experience:
• 3–7 years of experience as a Business Analyst in the financial services industry.
•
• 2+ years of hands-on experience with Golden Source or similar EDM platforms.
•
• Strong understanding of financial reference data (e.g., securities, instruments, issuers, prices, corporate actions).
•
• Proficient in writing BRDs, FRDs, user stories, and process flows.
•
• Solid understanding of data governance, data quality, and data lineage.
•
• Experience working in Agile/Scrum environments.
•
• Strong communication and stakeholder management skills.
•
• Ability to write and execute SQL queries for data analysis is a plus.
