Top Data Jobs in Singapore

Analyze large datasets using SQL and Python, maintain recurring analyses and data products, perform quality checks, investigate discrepancies, and identify trends. Collaborate with Research, Engineering, and Product teams to resolve data issues, document findings, and improve analytical workflows through automation and AI tools. The role is designed for an early-career analyst who is detail-oriented, curious, and interested in using data to inform investment decisions.

Connects marine, data, and delivery teams by integrating and validating shipping data, analyzing large datasets with SQL, translating business needs into technical requirements, and coordinating Agile delivery. Applies marine and dry bulk shipping expertise across vessels, voyages, ports, cargoes, bunkers, and operations while supporting predictive analytics, data quality, stakeholder management, testing, and implementation.

Manage and govern the bank’s enterprise Power BI platform, including Microsoft Fabric capacity, workspaces, gateways, access controls, reporting standards, deployment, monitoring, and performance optimization. Lead Power BI development practices, SQL-based data integration, Python automation, Jenkins workflows, and release management. Partner with engineering, infrastructure, security, governance, vendors, and business stakeholders to deliver secure, scalable, compliant analytics solutions while mentoring developers and coordinating concurrent initiatives.

Lead design and deployment of agentic AI for manufacturing planning and operations. Build multi-agent systems combining LLM reasoning and optimization (MIP, heuristics, simulation), integrate agents with data pipelines and enterprise systems, and deliver solutions for capacity planning, production flow optimization, and decision automation. Partner with planning, operations, data engineering, and MLOps teams to translate domain requirements into deployable AI workflows and reusable orchestration frameworks.

Analyze manufacturing, inventory, and supply chain data; monitor supply risks; support forecasting; review planning parameters and system compliance; present insights; build automated reports and dashboards; use AI tools to improve processes; and contribute to continuous improvement and digital transformation initiatives.

Owns the lifecycle and prioritization of corporate data products, including dashboards, datasets, analytics, and AI-enabled solutions. Partners with business, engineering, data science, and AI teams to translate business needs into use cases, coordinate delivery, drive adoption, and measure value. Leads data stewardship and quality efforts by establishing definitions, rules, ownership, and governance practices across Corporate Functions.

Support investment teams by acquiring, cleaning, and analyzing diverse datasets to test investment theses. Learn fundamental investor approaches, identify key data drivers and inflection points, and present research findings. Work with existing and new data to generate insights and decision-support tools for sector-focused investment research.

Supports APAC marketing analytics for Disney+ by measuring campaign performance, designing tests, analyzing subscriber cohorts, building dashboards, maintaining data pipelines, and translating findings into recommendations. Uses SQL and Tableau to analyze marketing channels including paid media, email, push, and in-app campaigns. Collaborates with regional marketing stakeholders and local teams to improve acquisition, engagement, retention, and winback initiatives.

Supports global sustainability data collection, quality assurance, reporting, dashboard maintenance, and property onboarding across UL 360 and Greenview Portal. Coordinates with international property teams and the parent company, resolves data discrepancies, prepares sustainability reports, researches best practices, and assists with sustainability initiatives. The role requires strong analytical, communication, organizational, and data accuracy skills, plus an interest in environmental impact and sustainability frameworks.

Intern will design and optimize Generative AI use cases for risk exposure, anomaly, fraud, and red-flag detection. Responsibilities include prompt engineering, testing, validation, automation, data analysis, dashboard development, visualization, and data mart maintenance. The role supports audit effectiveness, operational efficiency, reporting, and data-driven decision-making using Python, SQL, and visualization tools.

Leads Manulife Singapore’s enterprise AI, data, analytics, governance, and transformation strategy. Oversees data platforms, AI solutions, advanced analytics teams, process redesign, regulatory alignment, portfolio delivery, and value realization. Builds AI literacy, strategic partnerships, high-performing teams, and responsible innovation capabilities while engaging executives, regulators, and industry bodies.

Develop AI, machine learning, data analytics, automation, and agentic AI solutions for global financial markets, supporting trading and sales teams. Responsibilities include predictive model development, exploratory analysis, data pipelines, dashboard creation, data integrity management, and analytics for financial products and clients. The role also evaluates new data science approaches, partners with business and operations teams, and leads junior team members.

The role involves leading data analytics initiatives to improve yield and quality, developing algorithms, enhancing data infrastructure, and collaborating with cross-functional teams to drive innovation in HBM product engineering.

Lead advanced data analytics and ML initiatives to improve yield, quality, and reliability for HBM products. Develop ML/DL models, build data infrastructure, integrate solutions into disposition workflows, mentor team members, and collaborate cross-functionally to optimize KPIs including quality, cost, cycle time, and scale.

Manages end-to-end clinical data management for complex human-use research and clinical trial projects. Oversees data quality, EDC and other data collection systems, study documentation, vendors, CROs, and compliance with GCP, CFR, ICH, and company standards. Collaborates with Clinical, Biostatistics, external providers, and cross-functional teams; supports audits and health authority inspections; leads data quality reviews, evaluates proposals, manages deliverables, and mentors junior professionals.

Develop and deploy AI solutions including generative AI copilots, recommendations, RAG, and agentic AI systems. Build predictive and generative machine learning models using structured and unstructured data, apply advanced visualization and storytelling, and collaborate with business and technical teams on cloud, MLOps, and real-time data initiatives.

Design, build, and ship agentic AI applications that answer business questions over governed data. Implement RAG, NL-to-query, tool/function calling, and evaluation/guardrails. Partner with data teams on metrics, models, pipelines, and apply strong data governance and security for financial services.

Develop and deploy optimization, simulation, and ML models to improve semiconductor factory capacity, throughput, and cycle time. Partner with cross-functional manufacturing and engineering teams to analyze constraints, run scenario analyses, and deliver data-driven recommendations integrated into production pipelines and decision-support tools.

Lead credit risk analytics for business lending: monitor portfolio performance, identify emerging risks, support portfolio-level credit strategies, prepare reports and dashboards, collaborate with operations and product, contribute to stress testing, regulatory reporting, and governance.

Drive data science for Coinbase consumer products by analyzing ambiguous business problems, defining metrics, building experimentation and causal frameworks, developing advanced models, maintaining ETL pipelines, and translating insights into product strategy. The role requires SQL and Python expertise, statistical rigor, data visualization, stakeholder influence, code reviews, and responsible use of generative AI tools.

Supports technology-enabled transformation projects for energy and commodities trading clients. Responsibilities include designing operating models and workflows, shaping technology strategies and platform roadmaps, strengthening data and analytics foundations, selecting and implementing CTRM/ETRM systems, applying automation and AI, and developing risk and control frameworks. The role also supports project planning, deliverables, stakeholder relationships, and business development activities.

Lead design and implementation of cloud DevOps strategy for global Data and AI infrastructure. Build observability and detection capabilities, enable self-service tooling for data teams, manage scalable, secure infrastructure, and align DevOps practices and standards across geographies.

Prospect into Singapore public sector organizations through phone, email, social selling, events, and other outbound channels. Research accounts, identify stakeholders, tailor outreach, qualify prospects, and create sales opportunities in partnership with Account Executives and partners. The role focuses on achieving activity, meeting, pipeline, and new-logo targets while engaging technology stakeholders across IT, security, cloud, data, and engineering.

Lead data governance and management consulting engagements for financial services clients. Design governance frameworks, maintain data dictionaries, glossaries, metadata catalogs, lineage, and classification standards, and support data quality, architecture, MDM, and regulatory compliance initiatives. Partner with executives, risk, compliance, technology, and business stakeholders while delivering Agile data transformation programs and governance reporting using enterprise platforms such as Collibra, Informatica, and Microsoft Purview.

Design and implement analytics, simulation, optimization, and digital twin solutions for semiconductor manufacturing. Develop software, models, and AI/LLM-enabled tools to analyze large unstructured data, optimize operations, and communicate insights to product and operations teams while driving global collaboration and continuous improvement.