Top Data Analyst Jobs in Singapore

As a Pricing Data Analyst at JPMorgan Chase, you will manage data quality, provide operational support for Securities Services and Markets, and drive improvements in reference data operations. You'll ensure a robust control framework and engage in resolving client queries while supporting various teams across the APAC region.

As an Analyst in the Instrument Reference Data team, you will manage data quality and exceptions, ensure timely delivery of quality reference data, handle corporate action events, provide subject matter expertise, and improve operational processes while collaborating with various teams.

The Data Analyst will support analytics efforts by preparing and analyzing data, developing user-friendly dashboards, generating reports, ensuring data quality, and collaborating with stakeholders to meet analytical needs.

The Data Analyst will support the delivery of data solutions for predictive modeling in finance. Responsibilities include identifying data sources, coordinating with compliance and legal teams, assisting with data requests and monitoring data collection processes, and maintaining data documentation.

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The Risk Data Analyst will analyze data for risk patterns, design risk control solutions, collaborate with engineering teams to implement strategies, and establish frameworks for project evaluation and monitoring. The role includes developing anti-fraud solutions and leading experiments in the crypto space.

The Data Analyst role involves delivering impactful business analysis, engaging stakeholders, performing data reconciliation, and conducting analyses on large data sets. Responsibilities also include producing reports, identifying business opportunities, and presenting insights for strategic improvement.

As a Principal Data Analyst, you'll lead data-driven initiatives, mentor junior analysts, and design sophisticated analytical solutions using large datasets. Your role will involve collaborating across teams to derive insights, support product decisions, and enhance user experience through data storytelling. You'll utilize tools like SQL, Python, and visualization software to communicate findings effectively.