Top Data Jobs in Singapore

Analyzing financial data, preparing reports, supporting forecasting activities, investigating discrepancies, and collaborating with stakeholders to improve processes.

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 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 Engineer 4 role involves developing and overseeing the company's data systems, optimizing database solutions, managing data migrations, and ensuring compliance with regulations. The incumbent will analyze data needs, recommend improvements, and collaborate with product teams for strategic initiatives, ultimately enhancing customer experiences.

The Senior Data Analyst will own the analytics of games, collaborating with various teams to meet data needs and improve game performance through data-driven projects. Responsibilities include managing reports, enhancing BI technologies, optimizing ETL processes, and overseeing Junior Data Analysts.

The Big Data System Architect is responsible for constructing the company's data warehouse system, enhancing data architecture, leading data governance, and optimizing data development processes. This role involves collaborating with data analysts to leverage data for business operations and managing the data team for continuous improvement.

The Senior Data Scientist will optimize travel business operations by addressing complex problems, managing multiple data science projects, and translating business requirements into actionable data-driven solutions. Responsibilities include collaboration with marketing for optimization, development of data solutions, and effective communication of technical concepts to stakeholders.

The Test Environment and Data Manager is responsible for managing the test environments, including system integration and user acceptance testing. The role involves creating management strategies, establishing configuration controls, ensuring high levels of service, and managing test data. This position requires effective coordination between teams and adherence to standards and policies.

The Data Strategy Manager will assist clients in identifying opportunities for model improvement within their AI stacks, consulting on business goals, and designing data plans to enhance model performance. This role involves managing projects, creating diagnostics, and ensuring the delivery of high-impact data strategies in collaboration with internal teams and clients.

The Data Ingestion Lead will oversee data acquisition, ingestion, and transformation processes in the Global Pet Nutrition division. Responsibilities include optimizing data workflows, ensuring data quality and reliability, implementing compliance checks, and collaborating with various teams to enhance data capabilities.

The Data Engineer II role at Cencora focuses on providing accurate data support for Legal and Compliance departments. Responsibilities include data extraction and analysis, data quality validation, and developing analytics models to address business challenges. The position requires data monitoring, collaborating with teams, and ensuring data integrity for effective decision-making.

As a Lead Data Engineer at Cencora, you'll manage Microsoft Azure environments, design and develop scalable solutions, oversee cloud-based infrastructure, and lead a team of engineers. Your expertise will be critical in migrating services to the cloud, implementing IaC, and ensuring security and efficiency. Collaboration with IT teams to enhance operations is also key in this innovative role.

Collaborate with analysis and development teams on data modelling activities, contribute to data application projects, possess expertise in data warehousing and big data technologies, and demonstrate strong communication skills.

As a Principal Data Analyst, you'll transform large datasets into insights, architect analytical solutions, mentor analysts, and collaborate with product managers and engineers to derive actionable insights. You'll also conduct complex data analyses and use visualization tools to communicate insights effectively.

The Data Scientist III role involves applying data management principles, advanced statistical methods, and machine learning techniques to solve business problems. Responsibilities include developing and validating analytical models, deploying them in production, conducting exploratory data analysis, and creating data visualizations. The position also requires translating business challenges into data-driven solutions and mentoring junior associates.

The Senior Data Analyst will lead data-centric projects, analyze complex datasets to uncover business insights, and communicate findings effectively to stakeholders. This role requires collaboration with product managers and engineers to ensure proper data management and governance, and to develop strategies for leveraging data to enhance business outcomes.

As a Data Engineer III at Sam's Club Tech, you will design and implement low-latency REST APIs using Java or Scala, manage backend services for advertising, and work on scalable data pipelines. Responsibilities also include developing APIs for on-demand reporting, troubleshooting production issues, and utilizing modern architectures like microservices and serverless frameworks.