Top Data Jobs in Singapore

Monitor compliance with customer experience standards, analyze data for insights, drive corrective measures, and collaborate with teams to enhance service delivery in financial services.

As a Data Analysis Specialist, perform data mining, maintain databases, generate reports, troubleshoot Spotfire tools, and support process improvements.

As a Data Analyst at Manus, you'll analyze business metrics and user behavior, conduct A/B tests, and create dashboards to drive product strategy and growth.

Assist with statistical analysis, data modeling, and preparing reports. Interpret industry data and support compliance with data security protocols.

This internship involves supporting data collection, AI solution development, stakeholder collaboration, and ensuring product readiness through testing and documentation.

The Data Analyst will develop frameworks to evaluate AI product performance, analyze unstructured data, and support product strategies through data-driven insights.

As a Data Analyst, you will focus on user behavior analytics, integrating sales data, and providing actionable insights to optimize subscription revenue and user engagement.

Design and develop data warehouse systems, optimize data processing, and collaborate with teams to deliver efficient data solutions.

Develop and maintain data pipelines, support data collection, build datasets for AI evaluation, and create dashboards for monitoring product metrics.

Analyze international sectors and their data trends for Mi-Data Research. Responsibilities include data collection, analysis, and report preparation.

Lead data architects design modern data architectures, provide technical leadership, and guide teams to align with data strategies and project outcomes.

The role involves providing expertise in enterprise applications, engaging clients, designing solutions, managing projects, and executing tests.

The Data Analyst supports Compliance Asia by analyzing client activity data to ensure compliance with AML, KYC, and regulatory requirements. Responsibilities include data collection, analysis, report preparation, and collaboration with compliance and IT teams.

The Sales Specialist for Data & Feeds will drive gross sales of pricing and reference data services, engaging with institutional clients, and handling regulatory compliance needs. They will collaborate with account managers and drive revenue growth through relationship building in various departments.

Responsible for managing the full lifecycle of data centre projects including planning, execution, quality compliance, and stakeholder communication.

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

The Senior Paralegal provides legal support, reviews agreements, assists with compliance, and administers programs under supervision. Requires legal knowledge and relevant experience.

As a functional business analyst, you will collaborate with teams to gather requirements, propose solutions, and ensure quality deliverables for data and CRM projects in the banking sector.

Work with project teams on datamart and CRM systems, liaising with stakeholders, defining requirements, reviewing specifications, and participating in UAT.

Data Developers at Rimes build and maintain ETL pipelines for financial datasets, ensuring data accuracy and managing integrations with multiple data vendors.

The Finance Compensation Data Specialist will manage compensation data reports, analyze data for business insights, and ensure compliance in financial operations.

Lead AI and advanced analytics projects in health domain, focusing on model development, ethical AI practices, and leading a team of data scientists.

Lead data analysis projects, oversee data migration, ensure data quality, and manage project teams while collaborating with stakeholders.

Lead and manage data migration projects, gathering requirements, coordinating teams, defining data mappings, and ensuring compliance through testing.

As an Intern in Data & AI, you'll identify business challenges, propose analytics solutions, develop ML models, and create visual dashboards.