System Analyst

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