Top Data Jobs in Singapore

The Data Production Engineer will automate data tasks, support trading teams, analyze data sets, and ensure data pipeline quality and reliability.

Lead and manage data analysis projects at Pfizer, utilizing strong communication and analytical skills to improve processes and guide operational teams.

This role involves building a centralized risk platform with advanced analytics and machine learning, conducting risk analysis, and optimizing risk strategies while collaborating with internal and external stakeholders.

Lead the data science team by providing mentorship, influence strategy through data analysis, and help shape product strategies based on data insights.

The Portfolio Data Analyst will gather and track investment data, monitor financial statements, process capital calls, and collaborate across departments to support operational tasks.

As a Data Analysis Specialist, perform data mining, maintain databases, generate reports, troubleshoot Spotfire tools, and support process improvements.

Assist in organizing and cleaning advertising data, create dashboards, and explore AI usage in data analytics and reporting.

The intern will improve AI prompts, organize advertising data, create dashboards, learn about data usage in advertising, and document effective AI tools.

The Data Analyst will create interactive dashboards in Qlik Sense, optimize performance and usability, manage data governance, and support BI solutions adoption within the organization.

The role involves managing data architecture, optimizing analytics and compliance systems, and collaborating to enhance AML processes within financial operations.

The intern will build data pipelines, orchestrate workflows, model data, and collaborate for data discovery, gaining exposure to modern data and AI technologies.

The Data Analyst will design Power BI dashboards, optimize SQL queries, manage ETL processes, and provide insights on customer behavior and campaign performance.

The Research Editor role involves creating, updating, and managing compliance data profiles, conducting research, maintaining workflows, and responding to client inquiries while requiring fluency in English and Chinese.

The Senior Data Analyst will develop and deliver analytical solutions, support data-driven business decisions, and maintain documentation of analytics initiatives.

The Data Management Specialist will enhance data governance and quality by designing tools, implementing solutions, and collaborating with stakeholders, within a technological framework.

Lead the Underwriting Disruption project by integrating advanced data analytics and technology into insurance underwriting operations, enhancing predictive capabilities and streamlining processes through strategic leadership and cross-functional collaboration.

Collect and analyze data related to user behavior and market trends. Develop data visualizations and support A/B testing for product features.

Manage patent data operations, analyze data requirements, ensure data quality, optimize processing frameworks, and collaborate on architecture upgrades.

Lead development of enterprise analytic data products, execute data strategies, and communicate technology concepts while guiding and mentoring teams.

The Senior Data Engineer will analyze datasets, prototype ML features, validate data quality, and collaborate on regulatory compliance insights in a fast-paced environment.

As the Data Analytics Lead, you will develop CoinGecko's analytics strategy, manage data platforms, and lead a team to enhance data culture and governance.

Seeking a Data Analyst to analyze data sets, generate reports, and support data-driven decision-making within the company.

The role involves developing predictive models, maintaining financial models, and designing scalable data pipelines for a financial institution.

The Senior Data Analyst will develop dashboards, analyze business performance, and guide data strategy while maintaining data products and pipelines. Requires 5 years of experience.

Responsible for designing and overseeing data architecture, leading data engineers, and implementing enterprise-level data solutions in a cloud environment.