Top Data Jobs in Singapore

The role involves designing data architecture, developing ETL pipelines, managing big data tools, and collaborating with product teams to improve workflows. Requires experience in SQL, Python, and related technologies.

Manage datasets for QRT's research and trading platform, design data stores and APIs, monitor data health, and support users.

As a Data Analyst Intern, you will process and verify data integrity, provide analytics insights, design tools and dashboards, and assist with data queries using SQL.

You will analyze growth in product performance, develop analytical reports, propose experiments, monitor trends, and improve data analysis tools.

Manage the construction and maintenance of data reports and advertising data indicators for overseas developers, while developing data flows for the advertising system.

The intern will construct and maintain data reports, manage overseas advertising data indicators, and develop data flows within advertising systems.

Analyze data to provide insights on user behavior, partner with teams for product decisions, and design experiments to optimize product offerings.

As a Data Engineer Intern, you'll develop data pipelines, storage systems, and backend applications to support Razer's AI gaming products, leveraging cloud technologies and industry best practices.

The Data Analyst Intern will process and organize data, perform QA, and automate data pipelines, supporting client needs in marketing analytics.

Design and implement scalable ETL pipelines using AWS and Python, optimize data solutions, and ensure data quality and compliance.

The Senior Product Analyst will analyze data for product teams, design experiments, develop frameworks, and provide insights to improve customer service and business outcomes.

As a Senior Data Scientist, you'll develop scalable machine learning algorithms focused on search and ranking, process datasets, deploy models, and run A/B tests.

The Senior Data Scientist will develop AI/ML models for dynamic pricing, automate model processes, build monitoring dashboards, and present findings.

Analyze large datasets to extract insights, develop AI/ML models, predict demand, and enhance user experiences in deliveries and dining services.

As a Senior Data Scientist, you'll build scalable machine learning systems, analyze data, develop models, and collaborate with cross-functional teams in insurance product development.

The Senior Data Scientist will lead the development of chatbot technologies using machine learning and NLP to enhance user experience at Grab.

The Senior Data Product Manager will design in-house data tools, prioritize data requests, and improve efficiency for data users across the company.

Develop and deliver large scale data pipelines, support thought leadership in data engineering, and strengthen partnerships to enhance client value.

The Cloud Engineer will design, implement, and maintain cloud infrastructure while ensuring performance, security, and compliance standards are met.

The Data Engineer will develop large-scale data pipelines, support automated systems, and enhance client value through data solutions. Responsibilities include building and operationalizing data applications using AWS and Databricks while ensuring effective client communication and agile practices.

Lead the design and architecture of data storage solutions, develop ETL processes, optimize data pipelines, and collaborate with teams to ensure data quality and governance.

Lead the data engineering team to solve complex problems using data and AI, maintain data platforms, and develop client relationships.

Support the insights team with data cleaning, analysis, dashboard creation, media monitoring, and collaboration on data-driven recommendations.

As an Audit Data Analytics Intern, you will support the Digitalization and Data Analytical Team by providing data support, participating in project implementation, integrating analytics and machine learning techniques, and developing dashboards.

Collaborate with quantitative researchers and traders to design datasets, code for data extraction and management, and solve data issues.