Top Data Jobs in Singapore

The Client Manager will build client relationships, manage accounts, drive sales growth, and ensure client satisfaction using Salesforce.com and strategic planning.

The Cloud Sales Specialist drives sales in Hybrid Cloud solutions, builds relationships with clients, and collaborates with internal teams to meet client needs and achieve sales targets.

The Networking Sales Specialist identifies new opportunities, supports the sales process, builds client relationships, and leads conversations to drive business growth.

The Associate Systems Integration Specialist will learn to manage configurations, installations, and support break/fix events with the TS Systems Integration team.

The Associate Systems Integration Specialist learns to manage configurations, installations, and break/fix events and supports senior engineers during the project lifecycle.

As a Senior Cross-Technology Technical Architect, you will design transformative solutions, support business development, mentor junior architects, and influence sales strategies, ensuring successful implementation for clients.

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.

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

As a Data Scientist, you'll analyze large datasets using statistical modeling and machine learning. Responsibilities include developing software for data cleansing, evaluating diverse data sources, and collaborating with cross-functional teams.

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

Supervise data centre operations, ensuring tasks are completed on time and within standards. Act as the first escalation point, drive automation and process improvements, and support compliance and operational reporting.

Wayvia is building a talent pipeline for engineering roles focusing on backend systems, data pipelines, and product engineering. They seek curious and collaborative engineers to connect with and solve future challenges.

The Data Science Senior Analyst conducts strategic data analysis, develops recommendations, drives analytics initiatives, and solves complex system issues while providing user support and ensuring quality in project execution.

The role involves developing and implementing a data strategy, optimizing data delivery processes, and collaborating with teams to solve business challenges leveraging data.

The role involves application support for wealth data platforms, incident management, process improvement, stakeholder engagement, and mentoring team members.

The role focuses on software development, especially in Java, and involves working with big data technologies to meet business needs.

Manage customer relationships to drive satisfaction and success with ZEMA products, ensuring effective onboarding, strategy, and collaboration with customers across departments.

The Senior Business & Data Analyst will lead AI program enablement, analyze business processes, mentor junior analysts, and support data-driven decisions.

As a Data Scientist, you will implement data engineering, develop and test models, automate processes, and interact with clients to deliver AI solutions.

The Data Scientist will leverage advanced data science and machine learning techniques to detect security threats and collaborate with stakeholders to improve risk mitigation strategies.

Seeking a Data Engineer to develop data pipelines, ETL processes, and data architecture using AWS services, Python, and SQL. Collaborate with teams on data initiatives and ensure compliance with data security.

As a Business Development Manager, you will drive growth through strategy, client relationship building, and market analysis. You'll leverage insights to tailor solutions for clients in the financial services sector.

The Data Scientist will develop machine learning models to detect security threats and collaborate with cybersecurity teams to improve detection accuracy. Responsibilities include monitoring models, leading projects, and communicating insights to stakeholders.

The Data Engineer will lead the migration to AWS, develop data pipelines, automate workflows, manage documentation, and support end users in using the new data systems.

Develop and maintain internal Data Platform components, ensuring system scalability, high availability, and integration with data warehouses and orchestration systems. Write maintainable code and support deployment and monitoring processes.