Associate/AVP Data Business Analyst, Technology Group

About GIC and the Technology Group

GIC ranks among the largest sovereign wealth funds worldwide, operating with over 2,000 employees across 11 global offices. Investing in more than 40 countries, GIC offers a unique platform to engage with leading global industry experts. The Technology Group supports critical functions such as asset management, trading, investment operations, and risk management by delivering secure, reliable, and integrated technology solutions alongside insights into emerging technologies.

The Enterprise and Data Technology team within the group focuses on developing key technology and data platforms that drive integration, analytics, and innovation. Their mission is to foster seamless system connections, enhance data accessibility, and employ AI to enable smarter decision-making, thereby equipping the organization with tools that enhance insight, collaboration, and operational excellence.

Role Overview and Impact

In this capacity, you will be instrumental in establishing a high-performance enterprise data infrastructure and championing a results-oriented strategy centered on delivering impactful data products.

Key Responsibilities

• Lead requirement gathering sessions with stakeholders and undertake comprehensive design of solutions across the Data Services Group offerings.
• Collaborate closely with business users, data vendors, and engineers to implement and maintain data solutions that conform to data governance and architecture standards.
• Develop testing plans and conduct thorough end-to-end user acceptance testing for system and data enhancements.
• Oversee operational aspects of data product management including monitoring data delivery, addressing incidents, and providing advisory support to users.
• Establish scalable data operation processes covering the complete data lifecycle from registration through decommissioning.
• Design metrics to evaluate and ensure data quality and integrity, especially for market data.
• Continuously refine data operations by analyzing operational data such as SLAs and team efficiency, driving process improvements for operational excellence.
• Maintain strong relationships with internal and external data providers and vendors to ensure ongoing support and knowledge sharing.
• Provide mentorship and guidance to junior team members.

Qualifications and Desired Skills

• Degree from a recognized tertiary institution with a minimum of 5 years relevant experience in data management, finance, or asset management; at least 3 years involve hands-on roles in data management, analytics, or business analysis.
• Familiarity with Software Development Life Cycle (SDLC) methodologies and agile frameworks such as Scrum and Kanban.
• Experience managing data warehouses, developing data models, and using data management tools like Oracle, Snowflake, Informatica, Denodo; proficiency with visualization tools such as Tableau.
• Additional knowledge of Excel formulas/macros or programming in Python is an advantage.
• Good grasp of data management principles, controls, and processes.
• Strong attention to detail with excellent analytical and problem-solving capabilities.
• Effective communication skills to engage with a diverse group of stakeholders for solution design and development.
• Self-motivated, proactive, and committed to enhancing data processing efficiency and quality through innovative solutions.

Work Environment and Values

GIC encourages forward-thinking talent to join their agile and diverse teams where innovation, open dialogue, and value-driven principles guide work and career growth. The PRIME Values—Prudence, Respect, Integrity, Merit, and Excellence—form the foundation of everyday decisions and interactions.

Employees work onsite with a flexible model allowing four days weekly in office and flexible remote days depending on situational needs.

Diversity and Inclusion

GIC is an equal opportunity employer committed to diversity and inclusion. The organization prohibits discrimination based on race, religion, color, national origin, sex, gender, sexual orientation, age, marital or veteran status, or disability. Reasonable accommodations are provided throughout the hiring and employment process.