Top Data Jobs in Singapore

As a Graduate Data Analyst, you'll partner with Compliance teams, develop reporting layers, and create data models to monitor compliance risks effectively.

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 role focuses on advancing data and AI governance, implementing innovative strategies, maintaining compliance, and integrating governance controls into workflows. Responsibilities include proactive detection systems and collaboration across teams to ensure operational efficiency and audit readiness.

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.

Manage daily data privacy operations, including data subject requests, privacy assessments, incident management, and regulatory compliance.

The Global Data & Reporting Analyst will develop and manage automated data pipelines, ensure data quality for sustainability reporting, and optimize data processes for internal and external stakeholders.

As an ISC Data Analyst, you will develop and maintain data solutions, collaborate with stakeholders, and design reporting tools leveraging Power BI and other data tools to create value for the supply chain.

As a Data Scientist Intern, you will analyze large datasets, develop dashboards, build data pipelines, and collaborate on business strategies.

Analyze data to identify business opportunities and optimize product performance. Develop dashboards, assist in pipeline construction, and collaborate with teams to implement strategies.

The Finance Compensation Data Specialist supports compensation operations, ensures accurate reporting, analyzes business data, and proposes solutions for process improvements.

The Data Analytics Engineer develops and maintains analytics models and dashboards, ensuring high data quality and enabling decision-making through actionable insights.

The Data Engineer will design and build data platforms, manage data pipelines, ensure data quality, and mentor junior engineers.

The FinOps Sr Specialist analyzes cloud costs, provides optimization solutions, develops reports, and trains colleagues on cost management strategies.

Conduct data analysis using SQL and Python, automate processes, collaborate with teams, and assist with UAT migration tasks.

The Senior Data Scientist will develop AI solutions for gamers, focusing on Reinforcement Learning and Generative AI, collaborating closely with game developers and engineers.

The Senior Data Engineer will lead AI Data Engineering initiatives, architect and manage data infrastructure, and optimize data pipelines for AI and ML applications using various tools and technologies.

The Senior Data Strategist will drive data discovery and utilization strategies, source datasets, manage vendor relationships, and partner with teams to enhance data operations and identify new opportunities for trading signals.

The Business & Data Analyst will partner with teams to analyze data, create data processing pipelines, and support analytics consulting projects, focusing on transport-related insights.

The role involves analyzing user growth, optimizing growth funnels, developing user segmentation, evaluating marketing effectiveness, and collaborating with cross-functional teams to improve data strategies.

As a Senior Data Annotator, you'll review, analyze, and label diverse data for AI projects, perform quality assurance, and ensure compliance with ethical standards.

Responsible for designing and maintaining data pipelines using DBT and Snowflake, optimizing performance, and ensuring data quality.

The Data Engineer designs and optimizes ETL pipelines using SQL, Python, Spark, and Hadoop, ensuring data quality and collaboration with teams.

Architect, design, develop and deploy Salesforce solutions using Data Cloud and Marketing Cloud, ensuring high-quality and secure implementations while collaborating with stakeholders and managing project deliverables.