System Analyst, Data Lake/Data Warehouse (Banking, 1-year renewable contract)

Dear Applicant,

If you or someone you know is interested, please send the CV directly to [Confidential Information] (most preferred, as I may overlook some CVs due to the high volume).

Please note that visa sponsorship is not available at this time.

Key Responsibilities

• Analyze business, regulatory, and analytics requirements and translate them into scalable solution and data architecture designs
• Design data architectures supporting AI/NLP-driven analytics, including ingestion, curation, governance, and management of structured and unstructured data across Data Lake and Data Warehouse platforms
• Translate business and compliance requirements into NLP-enabled analytical use cases such as text classification, entity extraction, risk indicator identification, and document or alert summarization
• Develop logical data layering and curation strategies to support reporting, analytics, regulatory, and AI/NLP use cases
• Perform detailed effort estimation for projects, enhancements, and change requests
• Collaborate with business, technical, and regulatory stakeholders to define solution approaches and delivery strategies
• Communicate complex technical and architectural concepts clearly to business users and senior stakeholders
• Review and validate test strategies, functional test cases, and data validation approaches to ensure quality delivery
• Support governance, data quality, and validation activities across enterprise data platforms
• Work closely with cross-functional teams to ensure alignment between business objectives and technical implementation

Key Requirements

• Strong experience in enterprise data architecture, data modelling, and analytics solution design
• Hands-on experience working with Data Lake and Data Warehouse platforms
• Strong understanding of AI/NLP-driven analytics and unstructured data processing concepts
• Experience translating business and regulatory requirements into NLP-enabled analytical use cases
• Familiarity with use cases such as text classification, categorization, entity extraction, risk indicator identification, and summarization
• Strong knowledge of data curation, logical data layering, and governance strategies
• Experience in effort estimation, project sizing, and change request assessment
• Strong stakeholder management and communication skills with the ability to simplify complex technical concepts
• Experience reviewing testing strategies, functional test cases, and data validation processes
• Strong analytical, problem-solving, and solutioning capabilities
• Experience within banking, financial services, regulatory, or enterprise analytics environments is highly preferred