Top Data Jobs in Singapore

The Senior Data Scientist role involves analyzing business processes, cleaning and processing data, designing analytical solutions, conducting experiments, and developing models. This position collaborates with engineering and application development teams to implement AI/ML solutions and aims to drive innovation within the organization.

As a Senior Data Analyst, you will drive data-driven decision making related to marketing and retention, providing actionable insights, designing dashboards, and analyzing A/B experiments. You will work closely with cross-functional teams to optimize processes and contribute to strategic business initiatives.

The Cloud Data Engineer at Kyndryl will engage in understanding business problems and transforming them into data solutions. Responsibilities include data collection and exploration, statistical modeling, deploying models, and ensuring data security and management. This role emphasizes the importance of accuracy and alignment with business objectives, driving meaningful change through data expertise.

As a Data Catalog Lead, responsible for implementing and maintaining the enterprise data catalog solution to support data governance initiatives. Collaborate with stakeholders to enhance features and functionality, automate manual tasks using AI, and ensure compliance with data governance policies.

The Data Engineer II will enhance existing business analytics solutions, perform data mining to support sales and market growth, ensure data quality and integrity, analyze datasets for trends, and collaborate across teams for performance forecasting and reporting.

The Data Analyst will be responsible for interpreting data, analyzing results using statistical techniques, and providing ongoing reports. They will work closely with management to understand business needs, and they will optimize data collection and analysis processes.

The Data Analyst will analyze and transform data to improve Kpler’s analytical offerings in the maritime industry. Responsibilities include collaborating with business users, leading data research and processing projects, developing code and data transformations, designing dashboards and reports, identifying insights, ensuring data quality, and actively participating in team objectives and meetings.

The Data Tech Lead is responsible for designing, developing, and delivering data solutions using AWS core services. Key responsibilities include managing data platforms, implementing data management strategies, ensuring system performance and quality, and collaborating with cross-functional teams to translate business needs into technical solutions.