BA需求分析师

Key Responsibilities 1.

Incident

Management and Problem Resolution o Respond promptly to production incidents, system alerts, and service disruptions. o Investigate and troubleshoot issues across application, database, middleware, and network layers. o Coordinate with development, infrastructure, and business teams to drive issue resolution and restore services efficiently. o Document lessons learned, maintain the knowledge base, and continuously improve operational procedures and best practices. 2.

Documentation

Management and Knowledge Sharing o Create, maintain, and enhance documentation related to business processes, system functionalities, and requirements management. o Continuously enrich the knowledge repository and promote standardization and best practices. o Provide knowledge-sharing sessions and training support for both business and technical teams. o Ensure project and system documentation is complete, consistent, and traceable. 3.

System

Analysis and Solution Support o Analyze existing business systems and technical implementations to understand system capabilities and business processes. o Assess the impact of new business requirements on existing applications, business workflows, and upstream/downstream systems. o Participate in the maintenance and enhancement of technical and functional documentation to build and preserve system knowledge. o Review Functional Specifications (FS) and User Requirements (UR), perform comprehensive testing and validation after system changes, and ensure system stability and quality. 4.

System

Monitoring and Stability Assurance o Utilize monitoring tools to track the health and performance of applications, servers, databases, and middleware. o Analyze system performance and proactively identify potential risks or issues. o Drive continuous improvements in system reliability, availability, and operational stability to ensure smooth business operations. 5.

Change Impact

Analysis and Risk Management o Participate in system changes, version upgrades, and platform enhancement initiatives. o Analyze the impact and risks associated with system changes and enhancements. o Develop validation and testing plans to ensure successful implementation of changes. o Monitor post-release performance and address any issues that arise after deployment.

• AI Learning and Innovation o Continuously learn and stay updated on emerging AI technologies and industry trends. o Maintain a solid understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, and other AI-related concepts. o Explore opportunities to leverage AI technologies to improve operational efficiency, system support, and business processes. ________________________________________ II.

Qualifications • Bachelor's degree or above in Computer Science, Software Engineering, Information Technology, or a related discipline.

• Fluent in both written and spoken English, with the ability to use English as a working language for daily communication, requirement discussions, meetings, and documentation.
• Strong documentation and analytical skills, with the ability to independently create and maintain Functional Specifications, User Stories, Use Cases, business process diagrams, workflow diagrams, and other project-related deliverables.
• Basic understanding of Java with the ability to read code and analyze application logic.
• Good understanding of APIs, databases, and system integration concepts, with the ability to communicate effectively with development teams.
• Proficient in SQL querying and data analysis to support business and system analysis activities.
• Strong communication, stakeholder management, and cross-functional collaboration skills.
• Strong analytical thinking, problem-solving, troubleshooting, and coordination skills. ________________________________________ III.

Preferred Qualifications • Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Prompt Engineering, and other AI-related technologies, with an interest in applying them to real business scenarios.

• Understanding or hands-on experience in applying AI to application support, intelligent monitoring, incident analysis, operational efficiency improvement, or related areas.
• Previous experience in Application Support, Business Analysis, System Analysis, or enterprise application environments is highly desirable.