Associate/AVP, Technical Data Business Analyst, Data Strategy Group
Singapore, SG
GIC Private Limited
We are driven by a common purpose – securing Singapore’s financial future.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 Technical Data Business Analyst?
• Develop, implement and maintain sustainable data products and/or systems to uplift our data team in their end-to-end data operation process; to bring in asset-level data on GIC’s private markets investments into the GIC environment, with the focus on the ensuring the quality of the data provided by our partners
• Create prototypes of data products based on user requirements to digitalize existing manual processes and collaborating with the technology group to systematize prototype created to the enterprise architecture
• Ensure smooth execution of business-as-usual (BAU) processes through effective implementation of data products, providing technical support to maintain operational efficiency
• Conduct user research and usability testing to ensure data products meet user needs and expectations, iterating on designs based on feedback to achieve optimal product-user fit
• Adhere to Agile and DevOps practices in building data products by utilizing CI/CD pipelines and ensuring proper version control in code management
• Develop comprehensive technical and user documentation for all data products developed, ensuring documentation is up-to-date and accessible for users and developers
• Provide continuous support and enhancements on the data product required, ensuring product uptime as per agreed SLA with the business
• Build and maintain strong relationships with internal and external stakeholders. Ensure clear and effective communication with all stakeholders regarding data requirements and timelines
What qualifications or skills should you possess in this role?
- Bachelor’s Degree in Computer Science, Engineering, or Technical Discipline
- At least 5 years of relevant experience in data solutioning, process re-engineering, and digital product development
- Exposure to financial services industry is preferred, experience in private markets is a bonus
- Possess knowledge and strong passion in data governance, data quality, and data management
- Good engineering experience & practices in the following:
- SQL, and/or any relational database/warehouse – e.g. Postgres, Oracle, Snowflake
- Python/Pandas/DBT/PySpark
- Java / C# (.NET Core), and/or similar OOP frameworks
- Unix, Shell scripting
- (Good to have) Docker / Kubernetes / Github workflow, and/or other devops capabilities
- (Good to have) AWS services such as Glue/Batch, S3, SQS, SNS, EKS
- (Good to have) Federated query tools such as Denodo, Presto/Trino, Starburst
- (Good to have) UIUX frameworks such as React, Angular
- Ability to engage with business to understand business needs and translating them into data solutions
- Excellent communication and interpersonal skills, with the ability to build relationships and work effectively with diverse stakeholders
- Ability to manage multiple priorities and meet deadlines in a fast-paced environment
- Possess strong learning agility, self-driven, pro-active, and great sense of purpose to relook on existing data usage
- Comfortable in attaining new skills through use of new technology tools and systems
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.
Learn more about our Data Strategy Group Department here:
https://gic.careers/group/data-strategy-group/
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Angular Architecture AWS CI/CD Computer Science Data governance Data management Data quality Data strategy dbt DevOps Docker Engineering GitHub Java Kubernetes OOP Oracle Pandas Pipelines PostgreSQL PySpark Python RDBMS React Research Shell scripting Snowflake SQL Testing
Perks/benefits: Career development Team events
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