Top Data Jobs in Singapore

The Senior Data Analyst will oversee business analysis for trading products, implement data-driven strategies for growth, and develop tools for automated data reporting. Responsibilities include conducting independent analysis projects, building financial models, and collaborating with product teams based on data insights.

As a Data Engineer at OKX, you'll design and build resilient data pipelines for batch and real-time data, architect cloud data infrastructure, collaborate with teams to develop data-driven platforms, ensure data integrity, and improve data standards and monitoring.

The Senior Data & AI Specialist at IOTA will lead data analysis, model development using machine learning, and product strategy development. Responsibilities include data visualization, cross-functional collaboration, and process optimization to enhance data management and insights.

As a Quantitative Developer, you'll enhance the productivity of Research and Trading desks through data acquisition, designing datasets, solving data-related challenges, and managing data lifecycle projects.

The HR Data & Payroll Manager at OKX will be responsible for researching HR demands, analyzing data, developing HR data models, managing global HR data quality, and producing periodic reports. The role includes working with the compensation and benefits team to assist in optimizing salary systems and handling long-term incentive operations.

As a Data Architect at OKX, you will design and manage data architecture to support data operations, focusing on optimizing data flow and storage for both real-time and batch-processing systems. You will implement data solutions in AWS and Alibaba Cloud, develop and maintain data pipelines, and ensure data governance across the organization.

As a Senior Staff/Principal Data Engineer, you will design and maintain real-time and batch data processing pipelines using Flink, focusing on architecture and scalability. Collaborating with data scientists and cross-functional teams, you will address performance challenges and improve data integrity, particularly in FinTech or blockchain contexts.

The Data Analyst will support data-driven decision-making by collecting, cleaning, and analyzing data. Responsibilities include data extraction, ensuring accuracy of datasets, creating reports and visualizations, and assisting with data collection. The role allows for skill development while contributing to the team's success.

The Data Operations Team Lead at PitchBook is responsible for managing a team to enhance data quality and efficiency within the PitchBook platform. Key responsibilities include onboarding new team members, conducting performance reviews, compiling market intelligence, and coordinating workflows with the Mumbai Data Operations team to meet organizational standards.

The Global Data Analyst supports Purchase To Pay business processes within SAP by implementing master data governance strategies, conducting data quality assessments, and ensuring compliance with governance policies. They also lead projects in collaboration with IT and other stakeholders, providing user education and supporting data management efforts.

The Senior Data Analyst will assess business requirements, document and analyze processes, develop data requirements documents, and maintain user manuals while collaborating with cross-functional teams.

The job involves evaluating e-commerce data, conducting research, and rating the usefulness of product filters according to specific guidelines. This entry-level position provides an opportunity for candidates to gain experience in the AI field focusing on data annotation and rating tasks.

As a Senior Data Scientist in Growth Analytics at Moloco, you will deliver data products to enhance campaign performance by providing insights through data analysis, validation, and optimization. Responsibilities include creating visual displays of data, verifying ad exchange data accuracy, and collaborating with sales teams for bespoke analyses.

The Gen AI Data Scientist role at Kyndryl involves addressing business challenges by leveraging AI and data analysis. Responsibilities include collecting and analyzing data, developing statistical models, deploying solutions, and ensuring data security and usability. The role emphasizes a blend of consulting, data understanding, and collaboration with stakeholders to drive meaningful business transformations.

The Data Analyst at Cubist will support the data services team by identifying data sources, coordinating with compliance and legal teams, assisting investment teams with data requests, and maintaining a data infrastructure. The role requires basic programming in Python and SQL, along with strong organizational and communication skills.

The Data Scientist will work with a team to deliver accurate data and develop predictive models for finance. Responsibilities include identifying new data sets, engaging with vendors, building tools for data management, analyzing data, and researching alpha signals for Portfolio Managers.

The Senior Data Engineer will create and manage data infrastructure, design data storage and processing solutions, and integrate data platforms with applications. Responsibilities include implementing Big Data tools, developing data ETL solutions, ensuring compliance with data policies, and supporting new technology innovations.