Associate/AVP, Data Business Analyst, Technology Group

The SpringCube team curated the following job opportunity to help you in your job search. Explore the position below to find your next career move.

Company Overview
A leading global sovereign wealth fund, with over 2,000 employees across 11 offices worldwide, invests in more than 40 countries across multiple asset classes and businesses. The organization provides exposure to a high-performing network of global industry leaders and plays a key role in shaping Singapore’s financial future while positively impacting the communities it invests in.

Technology Group Overview
The Technology Group designs, experiments, and leads a 24×7 global business supporting core capabilities in asset management, trading, investment operations, and risk management. It delivers secure, reliable, and integrated solutions while exploring emerging technologies to enhance operational effectiveness.

Enterprise & Data Technology Overview
Enterprise & Data Technology combines technology and data expertise to design and deliver platforms for integration, analytics, and innovation. The team builds modern, scalable, and secure technology solutions that improve data accessibility, leverage AI, and enable smarter decision-making across the organization.

What impact can you make in this role?
You will help build a high-performance enterprise data infrastructure and create a results-driven approach using data products.

Responsibilities

• Conduct requirement sessions with business users and design holistic solutions across the organization’s offerings
• Collaborate with business end-users, data vendors, and data engineers to implement and support data solutions using best-in-class technology while adhering to data governance standards and architecture principles
• Design testing strategies and execute end-to-end user acceptance testing of system and data changes
• Manage end-to-end operational activities of data products, including monitoring delivery, resolving incidents, and providing advisory to users
• Establish robust and scalable data operations processes covering the full data lifecycle, from registration to decommission
• Design and monitor quality metrics to ensure data integrity meets user expectations
• Improve and streamline data operations through analysis of system operations data, including SLAs, delivery quality, and team efficiency
• Maintain strong relationships with internal and external data providers to ensure continuous support
• Coach and guide junior team members

Qualifications

• Degree from a recognized tertiary institution with at least 5 years of relevant experience in data management, finance, or asset management, including 3+ years hands-on in data management, analytics, or business analysis
• Experience with SDLC and/or agile methodologies (Scrum, Kanban)
• Competent in managing data warehouses, designing data models, and using tools such as Oracle, Snowflake, Informatica, Denodo, and visualization tools like Tableau
• Knowledge of Excel formulas/macros or Python coding is advantageous
• Strong understanding of data management principles, key controls, and processes
• Detail-oriented with strong analytical and problem-solving skills
• Excellent interpersonal and communication skills to engage diverse stakeholders
• Self-driven, proactive, and capable of implementing innovative solutions to enhance data quality and efficiency

Disclaimer
SpringCube curates tech job listings from various company websites to support tech professionals in Singapore.

1. No Endorsement: Job ads on SpringCube do not imply endorsement of their authenticity or quality.
2. No Client Relationship: This company is not a client of SpringCube unless stated.
3. To Apply: Click the “Apply” button to be redirected to the hiring company’s application page for this job.
4. No Liability: SpringCube is not liable for inaccuracies.