About this role
Role Summary We are seeking experienced System Analysts to drive requirement analysis, solution design, and data architecture for enterprise analytics and AI/NLP use cases. You will work closely with business, regulatory, and technical stakeholders to translate requirements into robust, scalable solutions, supporting advanced analytics and data-driven decision-making for our projects with various clientele. Key Responsibilities Requirement Analysis & Solution Design: • Analyze business, regulatory, and analytics requirements for new projects and change requests. • Translate requirements into scalable solution designs and logical data layering strategies. • Enable AI/NLP use cases such as text classification, entity extraction, risk indicator identification, and summarization. • Design data architectures supporting ingestion, curation, and governance of unstructured data within Data Lake and Data Warehouse platforms. Effort Estimation & Planning: • Perform detailed effort estimation for projects and change requests. • Support project planning and resource allocation. Testing & Data Validation: • Review and approve test strategies, functional test cases, and data validation approaches. • Ensure data quality and compliance with business and regulatory standards. Stakeholder Communication: • Communicate complex technical and architectural concepts to business and senior stakeholders in a clear, simplified manner. • Collaborate with cross-functional teams to ensure alignment of solutions with business objectives. Mandatory Skills & Experience • Degree in Computer Science, Information Technology, Engineering, or related discipline. • Minimum 3 years of experience in system analysis, solution design, or data architecture roles. • Strong experience with: • Requirement analysis and effort estimation • Data architecture and data modeling (including logical data layering and curation) • Designing solutions for AI/NLP analytics use cases (text classification, entity extraction, etc.) • Data validation and test strategy review • Proven ability to communicate technical concepts to non-technical stakeholders. • Experience supporting data platforms (Data Lake, Data Warehouse) and unstructured data management. Preferred/Advantageous Skills & Experience • Exposure to regulatory and compliance-driven analytics projects. • Experience with AI/NLP platform enablement and analytics use case design. • Familiarity with modern data governance, curation, and data quality frameworks. • Strong stakeholder management and cross-functional collaboration skills. • Certification in business analysis, data architecture, or related disciplines. Technical Stack / Domain Knowledge • Requirement Analysis & Solution Design: Business and analytics requirements, effort estimation, solution architecture • Data Architecture: Logical data layering, curation, Data Lake, Data Warehouse, unstructured data management • AI/NLP Use Cases: Text classification, entity extraction, risk indicator identification, summarization • Testing & Validation: Test strategy review, data validation, compliance • Stakeholder Communication: Technical documentation, business communication, project planning
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