Top Data Jobs in Singapore

As a Functional Business Analyst, you will work with project teams on data management and CRM systems, defining requirements and reviewing specifications while ensuring quality deliverables.

Lead a team of data engineers to create scalable data solutions using cloud technologies. Responsibilities include mentoring, designing data pipelines, and optimizing data workflows.

The role involves maintaining the Market Data Platform, developing scripts for automation, and engaging with stakeholders to optimize systems and document solutions.

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

The Senior Data Scientist will leverage Machine Learning techniques to optimize game development processes, enhance workflows, and collaborate with teams to improve player experiences.

Collaborate with stakeholders to manage data needs, design infrastructure, create ETL pipelines, and monitor data health.

The Data Analyst I will manage reports, develop dashboards in Power BI, ensure data accuracy, and conduct business analytics for informed decision-making.

The Business Data Analyst will analyze business requirements, integrate datasets, design UI/UX for applications, generate reports, and provide training.

Assist in data analysis, perform data validation, collaborate with teams, and create visualizations for business insights.

The Senior Business Analyst will act as the liaison between stakeholders and the technical team, gather and analyze requirements, and support a data platform project in the CPG sector.

As a Senior Data ETL Engineer, you'll develop data pipelines, support AI/ML initiatives, ensure data quality, and optimize performance.

The Senior Data Analyst will analyze trading products to drive business growth, develop data tools, and lead analysis projects independently.

The role involves providing data analytics support, developing dashboards and reports, collaborating on process improvements, and analyzing large datasets for business insights.

The Senior Data Analyst conducts exploratory data analysis, applies statistical methods, utilizes Python and SQL, and communicates insights to stakeholders.

The role involves delivering data science and machine learning services, developing data-driven solutions, training customers, and enhancing ML applications using H2O's tools.

Lead the evolution of decentralized data infrastructure, design and maintain ETL/ELT pipelines, and collaborate across teams to derive insights from data.

The Senior Data Analyst will develop SQL models, create dashboards, mentor junior analysts, and engage stakeholders to drive data-driven decisions.

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.

As a Data Analyst Intern, you will process and verify data integrity, provide analytics insights, design tools and dashboards, and assist with data queries using SQL.

The Associate Data Analyst will support data analysis, develop forecasting models, automate reporting, and analyze trading performance metrics.

As a Staff Data Analyst at Stripe, you'll partner with teams to build data products, analyze large datasets, and deliver business insights through metrics and dashboards.

The Data Scientist will identify new data sets, build processes for data collection, analyze data for potential applications, and research alpha signals for portfolio managers.

The Data Analyst will analyze financial datasets, create data pipelines, engage with vendors, automate data checks, and support investment teams.

The role involves designing data architecture, developing ETL pipelines, managing big data tools, and collaborating with product teams to improve workflows. Requires experience in SQL, Python, and related technologies.

You will analyze growth in product performance, develop analytical reports, propose experiments, monitor trends, and improve data analysis tools.