Data BA
3B Staffing LLC, Charlotte, NC, United States
Key Responsibilities
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Requirements Gathering:
Elicit and document business needs for reference data systems, translating them into detailed functional and technical specifications for developers.
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Data Analysis & Quality:
Perform data analysis to ensure the accuracy, completeness, and consistency of reference data, identifying and resolving exceptions and inconsistencies.
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System Design & Implementation:
Collaborate on the design, development, and implementation of reference data solutions and related processes.
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Project Management:
Manage the project lifecycle for reference data initiatives, including planning, status reporting, and stakeholder communication.
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Liaison & Communication:
Act as a key point of contact between business stakeholders (front and back office), technical teams, and developers.
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Process Improvement:
Identify opportunities for process improvements and automation to enhance efficiency and data quality.
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Regulatory Compliance:
Ensure reference data management practices comply with regulatory requirements and internal policies.
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Documentation & Reporting:
Create and maintain project documentation, user guides, and status reports for various stakeholders.
Essential Skills
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Data Analysis:
Proficient in analyzing data to identify trends, issues, and improvements, often using tools like SQL, Python, or Excel.
•
Business Acumen:
Strong understanding of financial products, trading activities, and the data lifecycle.
•
Communication:
Excellent written and verbal communication skills for effectively conveying requirements and collaborating with diverse teams.
•
Problem-Solving:
Ability to conduct root cause analysis and develop effective solutions for data-related issues.
•
Technical Proficiency:
Familiarity with data modeling, data governance, and data management principles.
•
Project Management:
Experience in managing projects, facilitating workshops, and overseeing UAT.
•
Requirements Gathering:
Elicit and document business needs for reference data systems, translating them into detailed functional and technical specifications for developers.
•
Data Analysis & Quality:
Perform data analysis to ensure the accuracy, completeness, and consistency of reference data, identifying and resolving exceptions and inconsistencies.
•
System Design & Implementation:
Collaborate on the design, development, and implementation of reference data solutions and related processes.
•
Project Management:
Manage the project lifecycle for reference data initiatives, including planning, status reporting, and stakeholder communication.
•
Liaison & Communication:
Act as a key point of contact between business stakeholders (front and back office), technical teams, and developers.
•
Process Improvement:
Identify opportunities for process improvements and automation to enhance efficiency and data quality.
•
Regulatory Compliance:
Ensure reference data management practices comply with regulatory requirements and internal policies.
•
Documentation & Reporting:
Create and maintain project documentation, user guides, and status reports for various stakeholders.
Essential Skills
•
Data Analysis:
Proficient in analyzing data to identify trends, issues, and improvements, often using tools like SQL, Python, or Excel.
•
Business Acumen:
Strong understanding of financial products, trading activities, and the data lifecycle.
•
Communication:
Excellent written and verbal communication skills for effectively conveying requirements and collaborating with diverse teams.
•
Problem-Solving:
Ability to conduct root cause analysis and develop effective solutions for data-related issues.
•
Technical Proficiency:
Familiarity with data modeling, data governance, and data management principles.
•
Project Management:
Experience in managing projects, facilitating workshops, and overseeing UAT.