September 18, 2024

GIC Investment

Singapore

OTHER

VP, Data Business Analyst (Investment Data Cluster), Data Strategy Group

Location: Singapore, SG

Job Function: Data Strategy Group

Job Type: Permanent

Req ID: 15958

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.

Data Strategy Group
We build our data architecture in a robust operational environment with scale and efficiency. Data is meaningful in a functional, discoverable, and accessible format to power GIC’s innovative investment strategies.

Data Management
You will actively manage GIC’s data through technology-enabled activities such as data sourcing, maintenance, and remediation. Our stewardship ensures data remains trustworthy, and of high quality.

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 (Investment Data Cluster)?

Manage and oversee end to end data management operational activities in DSG’s data warehouse. This includes monitor, analyse, investigate, and resolve day-to-day operational incidents and provide 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 relationship with data providers (internal and external) and vendor 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 Postgre SQL) 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 guides 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 grphrodtaops@gic.com.sg at any point of the application or interview process if adjustments need to be made due to a disability.

Learn more about our Data Strategy Group Department here:
https://gic.careers/group/data-strategy-group/