Top Data Jobs in Singapore

The Data Migration Business Analyst ensures business teams are ready for data migration through communication, coordination, and support during the transition phases. They handle data quality, documentation, and customer interactions to ensure a smooth process.

The role involves analyzing data sets, developing solutions using computer vision and machine learning techniques, and communicating insights for the WeChat ecosystem.

The Senior Sales Engineer assists customers with technical evaluations, develops sales strategies, and demonstrates expertise in storage products while supporting the sales team and its growth.

The Capital Markets Manager supports debt financing transactions and capital planning, collaborates with teams, performs financial analysis, and manages bank relationships to uphold financial objectives.

The role involves data management, quality assurance, and analytics, focusing on SQL and Python for data investigation and building dashboards. Responsibilities include project delivery support, requirement gathering, and collaboration with stakeholders.

The Data Partnerships Director will lead data partnership strategies across SEA, driving commercial growth and operational excellence while collaborating with various teams and partners.

The Sr. Manager, Strategy and Planning drives corporate and commercial strategy, manages partnerships, oversees strategic planning, and informs decision-making for the International Sports Medicine business.

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.

The role involves managing day-to-day operations of Zscaler services, troubleshooting incidents, policy administration, and integration management while ensuring secure and reliable user connectivity.

The Reference Data Services Analyst oversees customer account data management, supports operations, ensures data integrity, and prepares operational reports. They also guide the team and contribute to project work.

As a Lead Data Scientist, you will improve dynamic pricing systems, lead ML projects, collaborate with teams, and analyze data for business impact.

Lead the development and deployment of AI models focusing on computer vision and text processing. Responsible for enhancing model performance and collaborating with teams to meet business needs.

Collaborate with multiple teams to develop data requirements, manage data governance, and enhance efficiency through data development tools.

The role involves leading data-driven projects to optimize industrial processes, manage a data science team, and ensure effective stakeholder engagement for innovation.

The Principal Expert leads the data science strategy for MSAT, establishes best practices, delivers high-impact initiatives, and mentors teams in a regulated environment.

The Data Science Consultant supports marketing through data analysis, machine learning, and data engineering to drive business impact in luxury and consumer goods.

The Data Analyst will extract and analyze operational data, present insights, develop dashboards, ensure data accuracy, and collaborate for improvements.

As a Senior Data Analyst, you'll turn data into actionable insights, support decision-making, and enhance conversion rates through analytical practices and collaboration with teams.

Assist in translating business cases into technical solutions utilizing various technologies. Support data warehouse design, address performance issues, and contribute to data management standards.

Lead client-facing implementation projects for Pricing and Reference Data, optimizing processes, managing budgets, and ensuring effective communication across teams while mentoring junior members.

As a Data Engineer, you will develop data pipelines, transform analytics for business growth, automate reporting, and collaborate with stakeholders to deliver data-driven insights.