Data Analyst

Candidate will perform the data management aspect for the enterprise data distribution channel. He/she is expected to possess good business knowledge of the financial industry. Experience with programming will be an added advantage.

Requirements:

• Possess a degree in Computer Science/Information Technology or related fields.
• Possess ownership mindset to the problem and be outcome driven.
• Good problem-solving skills with ability to provide sound, feasible solution to problems; be resourceful and conduct fact findings and thorough analysis.
• Strong advocate of the product, understand how to resolve business problem with the current capabilities.
• Proactively identify area of improvement in processes, communication and generating insights for better decision-making.
• Ability to bridge technical terminologies and business use cases.
• Ability to understand technology landscape, SDLC and GIC IT processes and standards to successfully translate problems (both data and technical) to product requirements.
• Ability to conduct thorough analysis, fact findings and design processes and complement with requirements for automation to reduce any manual work.
• Analyze and understand the trade-offs inherent in differing scenarios of a solution outcome.
• Ability to clearly communicate analysis in solution proposals and recommendations.
• Ability to breakdown problem to execution step-by-step, leverage on AI and prompt engineering.
• Proficient in Python, SQL, and Prompt Engineering.

Responsibilities:

• Work closely with business stakeholders, data engineers and platform team to implement and support data distribution solution.
• Leveraging on technology, to design an optimal onboarding process with clear visibility of the various life cycle of a product.
• Contribute, influence, and validate the design of data distribution solutions to ensure they meet both business and operational needs.
• Perform data access control operations to ensure data ingested and distributed comply with enterprise data governance and data handling standards.
• Document the business requirements clearly.
• Perform user acceptance testing on the data distribution channel and ensure that it meets the requirements.
• Participate in building new product capabilities and shaping the new features.
• Identify opportunities for continuous improvement in assigned area of work.