Top Data Jobs in Singapore

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

The Client Project Manager oversees and directs multiple projects, ensuring client satisfaction, managing stakeholder communication, and delivering projects on time and budget.

The Data Management Specialist will develop data governance tools, collaborate on metadata standards, and implement solutions for data quality and integrity.

As Director, S-REIT, you'll manage the NTT DC REIT portfolio, enhance profitability, and lead investor relations efforts while ensuring compliance with regulations.

As part of the Wealth Management Operations team, you'll manage security instruments and counterparty information, ensuring accuracy and adherence to SOPs. You'll provide exceptional client service while executing control and delivery frameworks, report statistics, and support ad hoc tasks or projects as assigned.

The Data Engineer will design and maintain data pipelines, optimize SQL, automate data workflows using Unix/shell scripting, and collaborate with stakeholders on cloud platforms.

Intern will optimize data pipelines, automate processes, and contribute to QA framework development while learning from experienced data professionals.

The Principal Cloud Engineer will design and maintain cloud architectures across multiple platforms, focusing on AI and data-intensive workloads, while optimizing resilience and performance through automation and collaboration.

Join Iron Mountain as a Data Processing Specialist, contributing to records management and digital transformation for diverse customers. Enhance your skills in a supportive culture.

The Forward-Deployed Data Analyst will engage with African Ministries of Health, build data management solutions, develop dashboards, and support public health decision-making.

As a Data Analyst at Manus, you'll analyze business metrics and user behavior, conduct A/B tests, and create dashboards to drive product strategy and growth.

The Data Analyst will develop frameworks to evaluate AI product performance, analyze unstructured data, and support product strategies through data-driven insights.

As a Data Analyst, you will focus on user behavior analytics, integrating sales data, and providing actionable insights to optimize subscription revenue and user engagement.

Design and develop data warehouse systems, optimize data processing, and collaborate with teams to deliver efficient data solutions.

Develop and maintain data pipelines, support data collection, build datasets for AI evaluation, and create dashboards for monitoring product metrics.

Collaborate with teams to create experiment frameworks, perform data analysis for growth strategies, build dashboards, and translate data insights for stakeholders.

Lead data architects design modern data architectures, provide technical leadership, and guide teams to align with data strategies and project outcomes.

Analyze international sectors and their data trends for Mi-Data Research. Responsibilities include data collection, analysis, and report preparation.

As a Senior Consultant in Data Science, you will lead teams in AI/ML solution development, collaborate across engineering, and define data-driven strategies across the client portfolio.

Assist with statistical analysis, data modeling, and preparing reports. Interpret industry data and support compliance with data security protocols.

This internship involves supporting data collection, AI solution development, stakeholder collaboration, and ensuring product readiness through testing and documentation.

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

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

The role involves providing expertise in enterprise applications, engaging clients, designing solutions, managing projects, and executing tests.

Lead data engineering activities including strategy execution, team management, architecture design, technology selection, performance optimization, and data governance for global wealth data management.