Top Data Jobs in Singapore

As a Senior Data Analyst, you will optimize the routing platform, analyze geospatial data, design experiments, and build data products.

The Head of PT Data Engineering leads data product management, oversees implementation and adoption of data products, and aligns with Roche's digital strategy.

The BI Analyst will analyze blockchain data to provide insights for marketing campaigns, develop dashboards for metrics, and understand blockchain operations.

Lead the global data science team to drive user growth through predictive modeling, experimentation, and data-driven insights. Collaborate across teams to enhance data usage and drive business KPIs.

The Senior Data Scientist will lead analytical projects, mentor junior scientists, design experiments, and provide data-driven strategies to enhance Gojek's service offerings.

As the Head of Data, you will develop and execute data strategy, manage data teams, oversee governance, and drive data-driven decisions to boost business growth.

As a Growth Data Scientist at Moloco, you will analyze data to enhance campaign performance, optimize marketing strategies, and provide actionable insights to clients through effective data validation and collaboration.

As a Senior Data Scientist at Micron, you will analyze large datasets, develop predictive models, and create algorithms to enhance product services, requiring interaction with diverse teams.

The Data Engineer designs and maintains data architectures and pipelines, processes datasets, optimizes ETL processes, and collaborates with teams to support data-driven decisions.

The Data Lead will define and execute the data strategy, modernize the data stack, establish a centralized data platform, and lead the data team while partnering with cross-functional stakeholders.

Analyze blockchain data, creating efficient query solutions and fraud detection methodologies while ensuring data integrity and transforming customer data needs into actionable insights.

As a Data Engineer at SHOPLINE, you'll be responsible for managing payments data, enhancing data quality, and constructing business evaluation metrics while collaborating across functions.

The Senior Global Business and HR Data Analyst will analyze HR data, create reports, and provide insights to improve decision-making across the organization.

As a Senior Data Analyst at Athena, you'll provide actionable insights through reports and dashboards, ensure data accuracy, and collaborate with stakeholders to support business decisions.

The Senior Data Analyst will design dashboards in Qlik Sense, build AWS data pipelines, and translate BI needs into technical solutions, while addressing data governance and quality checks.

The Data Analytics Audit Manager delivers data analytics testing for audits, designs strategies, manages projects, and mentors junior colleagues to enhance audit capabilities through data-driven insights.

Analyze OEX product teams, develop analytical reports, propose experiments, monitor product performance, and improve data analysis tools while collaborating across teams.

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 Data Engineer will build and maintain ETL pipelines, design data transformations, and collaborate on modeling and performance optimization across data platforms.

As a Senior Data Analyst (Risk), you'll monitor credit risk performance, collaborate with credit teams, generate reports, and automate workflows to improve decision-making.

The Senior Data Analyst (Growth) will support business functions by analyzing data to drive growth, improve customer engagement, and strategize using metrics and insights.

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

Design and maintain scalable data platforms on AWS and Databricks, focusing on efficient data processing, analytics, and orchestration of pipelines.