Fixed Income Business Systems Analyst, Data Engineering

Job Title: Fixed Income Business Systems Analyst, Data Engineering

Work Model: hybrid model in Newark

Compensation: 120-170k base + bonus

Summary: A large asset manager is seeking a data driven business systems analyst to join their team, specifically focused on fixed income products. The right candidate is an analytic, data driven and a technical data/business analyst to partner with business users and assist with implementation and testing of software releases.

Qualifications:

• 5 + years of Business Analysis at a buy-side Fixed Income firm

• Experience in various Fixed Income instruments is required (e.g. U.S. Treasuries, Investment Grade, High Yield, EMD, Mortgages, Sovereign Debt / Government Bonds, Corporate Bonds, OTCD, and Repos)

• Working knowledge of data governance and ability to ensure high data quality is maintained throughout the data lifecycle of a project

• Proficient in writing SQL queries and understand stored procedures

• Innate ability to assess current process and suggest change-driven solutions to enhance business outcomes

• Proficiency in technical tools and techniques for data analysis, documentation, and system analysis (e.g., SQL, data modeling, system architecture).

• Strong analytical and problem-solving skills, with ability to conduct root cause analysis on system, process or production problems and ability to provide viable solutions

• Experience working with large data sets

• Knowledge of business analysis best practices and industry standards.

• Basic knowledge of python

• Advance knowledge of Excel

• Experience with Application Lifecycle Management (ALM) tools (Jira, Confluence)

Responsibilities:

• Utilize knowledge of business analysis concepts and Software Development Life Cycle (SDLC) methodologies to support business initiatives and system enhancements within our Data Engineering Enablement team.

• Perform business process reviews and workflow changes by working with business users, vendors, and IT when applicable.

• Manage clear expectations by establishing clear timelines, milestones, and providing transparency on risks, dependencies, and issues through status reporting.

• Create process flows and conduct gap analysis for current state vs future state.

• Analyze data to help support business requirement gathering and data quality efforts.

• Maintain accurate and up-to-date documentation of business requirements, process flows, and system configurations.

• Analyze business processes and make recommendations for improvements.

• Keep abreast of industry initiatives and market trends that impact the business to continue to improve efficiencies.

• Responsible for understanding technology impact on the business processes.

• Assist with internal/external communication, improving transparency and disseminating information.