Junior Data Analyst jobs in Singapore

As a Data Modeler, you will be responsible for designing and implementing conceptual, logical, and physical data models that support WFS's cloud-native architecture. You will work cross-functionally with data engineers, analysts, and product teams to translate business requirements into scalable data structures, ensuring performance, consistency, and compliance across the data ecosystem.

• Design and maintain conceptual, logical, and physical data models.
• Implement models across AWS services (Redshift, RDS, S3, Glue, DynamoDB).
• Establish and enforce data modelling standards, naming conventions, and metadata practices.
• Collaborate with business stakeholders to translate needs into efficient data structures.
• Optimize data models for performance, scalability, and cost‑efficiency in the cloud.
• Ensure data integrity, lineage, and governance through modelling best practices.
• Support secure, compliant, and well‑documented data architecture design.
• Participate in data integration and transformation efforts across systems.
• Maintain and update ER diagrams, data dictionaries, and related documentation.

• Bachelor's degree in computer science, Information Systems, Data Science, or related.
• 3+ years of hands‑on experience in data modelling and architecture.
• Strong command of AWS data services: Redshift, RDS, S3, Glue, Athena, DynamoDB.
• Proficient in SQL and data modelling tools (ER/Studio, ERwin, dbt, etc.).
• Experience with relational, dimensional, and NoSQL modelling.
• Understanding of streaming platforms (e.g., Kafka, Kinesis).
• Experience with data warehouse and Lakehouse architectures.
• Familiar with Agile methodologies and cross‑functional team collaboration.
• Excellent communication and documentation skills.
• Ability to simplify complex data concepts for diverse audiences.
• Proactive, collaborative, and solution‑oriented mindset.

• Hands‑on experience with Confluent Cloud and Kafka.
• Understanding of data governance frameworks and cataloguing tools.
• Exposure to CI/CD, Terraform, and DataOps pipelines.
• AWS certification (e.g., Data Analytics or Solutions Architect) is a plus.

• A cloud-native environment focused on innovation and learning.
• Opportunities for professional development and AWS certification support.
• Competitive compensation and benefits.
• Flexible work options, including hybrid or remote work.
• Culture of collaboration and data‑driven impact.

• Curiosity and passion for understanding technology.
• Analytical, with an affinity to solve problems.
• Ability to work under pressure in a fast‑paced, dynamic environment.
• Eager to embrace unfamiliar situations with a positive mindset.
• Hard‑working and results‑driven.
• Team player.
• Excellent communication skills.

26 September