VP, Data Business Analyst, Technology Group

GIC Private Limited; Singapore; On-site; SGD 120,000 - 160,000; Full time

Benefits offered by this job

Flexible working arrangements

Professional growth opportunities

Diverse and inclusive work culture

Job summary

A leading sovereign wealth fund in Singapore is looking for a VP, Data Business Analyst to manage end-to-end data operations and oversee data quality. You will engage with various stakeholders to improve investment data services and ensure operational excellence. The ideal candidate has at least 6 years of experience in data management and analytics, with strong analytical skills. The role offers a flexible work environment and encourages innovative approaches to data management.

Qualifications

• At least 6 years of working experience, with 3 years in data management or related fields.
• Familiarity with data extraction and visualization tools.
• Strong problem-solving and analytical skills.
• Experience with SDLC and agile methodologies.

Responsibilities

• Manage end-to-end data management activities in the data warehouse.
• Oversee data quality management to ensure integrity of data.
• Participate in new enterprise data initiatives and projects.
• Work with business stakeholders to enhance data services.
• Monitor and resolve operational incidents in data management.

Skills

Data management

Data analysis

Business requirements analysis

Data visualization

Analytical skills

Interpersonal skills

Agile methodologies

Education

Degree in relevant field

Tools

SQL

Tableau

MS SQL

Snowflake

PostgreSQL

Job description

VP, Data Business Analyst, Technology Group

Location: Singapore, SG

Job Function: Technology Group

Job Type: Permanent

GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 offices around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long‑term investor, we work at the point of impact for Singapore’s financial future, and the communities we invest in worldwide.

Technology Group

We experiment, design, and lead a 24×7 global business where we support core capabilities in asset management, trading, investment operations, and risk management. We deliver secure, reliable, and integrated solutions, and provide insights on new, and emerging technologies.

Enterprise and Data Technology

Enterprise & Data Technology builds and advances the technology that underpins our enterprise and data capabilities. It brings together our core technology and data experts to design and deliver platforms for integration, analytics, and innovation. By combining these strengths into one coordinated group, we create seamless solutions that connect systems, improve data accessibility, and leverage AI at the platform level to enable smarter decision‑making. Through modern, scalable, and secure technology, the team empowers the organisation with tools that drive insight, collaboration, and operational excellence.

What impact can you make in this role?

You will strive to build a high‑performance enterprise data infrastructure, and create a results‑driven approach with data products.

What will you do as a Data Business Analyst?

• Manage and oversee end‑to‑end data management operational activities in DSG’s data warehouse. This includes monitoring, analysing, investigating, and resolving day‑to‑day operational incidents and providing advisory to users.
• Oversee data quality management in the warehouse by ensuring the integrity and quality of data, designing quality metrics, and monitoring quality of enterprise data.
• Actively participate in new enterprise data initiatives and projects.
• Proactively work with business (Risk Analysts, BMOs, Quantitative Strategists, end‑users, etc.), understanding and analysing the business requirements to enhance our investment data services, solutions and strategies.
• Evaluate business requests for new data and work closely with Data Engineers and relevant stakeholders to implement and support data solutions using best‑of‑breed technology and methodology.
• Contribute, influence, and review the design of data solutions to ensure they meet both business and operational needs.
• Plan, develop testing strategies and execute end‑to‑end user acceptance testing of system and data changes in data solutions.
• Incorporate data management best practices into operational workflows.
• Manage and maintain strong relationships with data providers (internal and external) and vendors to ensure continuous support and knowledge for existing and future data needs.
• Provide support in documentation of functional requirements and specifications.
• Provide coaching and guidance to juniors.
• Set up, improve, and streamline data operations processes through analysing systems operations data (SLAs, customer satisfaction, delivery quality, team efficiency, etc.) for continuous improvements.
• Identify opportunities for streamlining of processes and propose changes for improvements and operational excellence.

What qualifications or skills should you possess in this role?

• Possess a degree with at least 6 years of working experience, where at least 3 years of hands‑on experience is in data management, data analysis, business requirements analysis, data analytics and visualisation within investment and banking industry.
• Good understanding of the principles, key controls and processes relating to data management as well as data modelling and data integration.
• Agile and fast learner and able to adapt to change.
• Meticulous with operations and work well with details.
• Strong analytical skills and enjoy complex problem solving.
• A good team player with excellent interpersonal and communication skills to interact with diverse stakeholders.
• Experienced with the Systems Development Life Cycle implementation methodology (SDLC) and/or agile methodologies like Scrum and Kanban.
• Familiarity with data warehouse, data models, data management tools and data extraction, data visualisation tools such as SQL, Tableau is preferred.
• Knowledge of using formulas/macros in Excel is advantageous.
• Experience working with enterprise databases using database technologies (MS SQL, Snowflake, and PostgreSQL) and data integration products (e.g. Informatica) is advantageous.
• Experience in economics/finance related courses is preferred.

Work at the Point of Impact

We need to be forward‑looking to attract the right people to help us become the Leading Global Long‑term Investor. Join our ambitious, agile, and diverse teams – be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME values: Prudence, Respect, Integrity, Merit and Excellence, which guide us in how we make our day‑to‑day decisions. We strive to inspire. To make an impact.

Flexibility at GIC

At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection. At the same time, we believe that flexibility allows us to do our best work and be our best selves. Thus, our teams come into the office four days per week to harness the benefits of in‑person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

GIC is an equal opportunity employer

GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please email [e-mail] at any point of the application or interview process if adjustments need to be made due to a disability.