Top Data Jobs in Singapore

The Business Analyst will bridge the gap between business and IT, prepare documentation, conduct testing, and ensure deliverables meet requirements.

The Data and Operations Analyst will analyze sales and operational data, create reports, improve processes, and collaborate with teams to support business objectives.

Manage patent data operations, analyze data requirements, ensure data quality, optimize processing frameworks, and collaborate with data architects.

Develop and optimize scalable data pipelines using AWS and Python, maintaining data quality and collaborating with analytics teams for business intelligence.

As a Data Analyst, you will be responsible for collecting, analyzing, and interpreting complex data sets to support decision-making.

Design, build, and optimize data infrastructure and scalable pipelines. Support analytics and BI tools for actionable insights. Work with diverse datasets.

The Data Analytics Lead Analyst role involves integrating subject matter expertise, contributing to standards, resolving complex issues, and overseeing data science projects. Requires 6-10 years of statistical modeling experience with large data sets.

Develop integrated solutions for backend operations focused on data-driven decisions. Extensive collaboration to enhance cost, quality, and efficiency through data architecture and best known methods deployment.

The Senior Analyst in Channel Data Services will manage customer data queries, ensure SLA compliance, support automation tasks, and provide insights through data analysis.

The role involves managing BI tools, developing ETL pipelines, creating documentation, training team members, and ensuring compliance with standards.

The role involves developing scalable data pipelines using Python and AWS, collaborating with teams for data model improvements, and ensuring data quality.

The Senior Data Engineer will develop and maintain scalable data pipelines, enhance data accessibility, collaborate with teams for data modeling, and ensure data quality.

The role involves analyzing large datasets, developing AI/ML algorithms for fraud detection, and collaborating with cross-functional teams to enhance product offerings while ensuring compliance with privacy laws.

The Data Visualization Intern will design and develop interactive visualizations, analyze data, and collaborate with teams to enhance data insights.

Lead Empower's Data Science team in Latin America and APAC, developing risk models and credit policies to drive underwriting and product innovation.

As a Data Scientist at Kyndryl, you'll bridge business challenges with data-driven solutions, using AI methodologies while collaborating with clients, managing data, and developing AI projects.

The Data Scientist will develop machine learning solutions, optimize data pipelines, and enhance AI capabilities to drive data-centric decisions.