Business Systems Analyst

Description

Senior Business Sys. Analyst

Location: "Dallas / Westlake, TX". [100% onsite]

Job Description:

Use their Brokerage Domain Experience to Gather requirements for new features or enhancements for portfolio construction platform for data analysis. Coordinates and runs User Acceptance Testing (UAT) sessions. Collaborates with the technology and business

Job Responsibilities Include:

• Contribute as a key member of a cross-functional squad focused on driving platform modernization initiatives across the client's enterprise, ensuring seamless system integration and alignment with business objectives.
• Analyze, design, and support the implementation of enterprise web and middle-tier applications leveraging technologies such as Angular, TypeScript, and Java (Spring/Spring Boot) to meet performance and scalability requirements.
• Collaborate with developers, architects, and business stakeholders to translate business needs into detailed technical requirements and system specifications.
• Support end-to-end solution delivery, including requirements validation, impact analysis, testing coordination, and production readiness activities.
• Work both independently and within a team environment, ensuring timely, high-quality deliverables that align with established architecture standards and client expectations

Basic Qualifications:

• 5+ years of advanced experience as a Systems Analyst supporting the development of complex, enterprise software solutions.
• 5+ years solid grasp and experience with Structured Query Language (SQL), querying relational databases, and programming in general.
• 5+ years proven experience working with APIs - REST, SOAP, JSON, XML.
• 5+ years' experience with Agile development methodologies.
• Brokerage experience and familiarity with Trading capabilities
• Experience researching, optimizing, developing, and authoring solution requirements, user stories, and specifications for moderate to complex software systems.
• Experience in various systems analysis methodologies, including data analysis, data mapping, flowcharts, use-case development, story writing, set-up & configuration of systems, gap analysis, user acceptance testing, and product documentation.
• Experience with generative AI tools to increase efficiency and quality.
• Excellent communication and analytical skills, proactive, organized, highly responsive, and committed to quality.
• B.S. in Finance, Computer Science, Management Information Systems, or equivalent experience.