Business Systems Analyst

Data and Business Systems Analyst Overview

• The Data and Business Systems Analyst will design and implement technology solutions to streamline processes and enhance operational efficiency.
• This role involves end-to-end ownership of recurring data workflows, ensuring seamless integration and automation.
• Collaborate with business users to identify opportunities for process improvement and scalable technology solutions.
• Develop production-quality applications and services that reduce manual effort and strengthen operational controls.
• Maintain integrations across internal systems, data platforms, and third-party tools to enhance information flow.
• Evaluate emerging technologies, including AI, to improve business processes and operational efficiency.
• This hybrid role offers flexibility and the opportunity to work in a dynamic fund environment.
• Candidates will have autonomy to shape technology solutions across multiple organizational functions.

Data and Business Systems Analyst Key Responsibilities & Duties

• Take ownership of solution lifecycles, including requirements gathering, implementation, deployment, and ongoing support.
• Partner with business users to define practical, scalable technology solutions tailored to their needs.
• Design, develop, test, and maintain applications, services, and workflows to improve operational efficiency.
• Build and support integrations across systems, data platforms, and reporting tools.
• Rapidly prototype solutions, gather user feedback, and evolve concepts into production-ready systems.
• Document solutions to ensure security, maintainability, and alignment with business requirements.
• Evaluate and implement AI-enabled technologies to enhance workflow automation and data processing.
• Collaborate with stakeholders to identify and prioritize opportunities for improvement.

Data and Business Systems Analyst Job Requirements

• Bachelor’s degree in computer science, engineering, data science, or related technical field.
• Minimum of five years of experience in software systems, workflow automation, and technology platforms.
• Proficiency in Python and SQL for application development and data analysis.
• Experience with production applications, APIs, databases, and data-driven systems.
• Familiarity with modern software engineering practices, including CI/CD and secure software design.
• Knowledge of AI-enabled technologies and workflow automation frameworks.
• Strong communication skills to effectively collaborate with business stakeholders.
• Ability to proactively identify opportunities for improvement and deliver scalable solutions.