全职 Data Systems Analyst - Enterprise Analytics 工作, 薪水 up to SGD 8,000, RANDSTAD PTE. LIMITED Islandwide (Singapore) 公司招聘中 - Ricebowl

about the company.
A premier multinational banking and financial services group recognized globally for its market leadership, extensive international presence, and robust corporate governance. The organization is committed to continuous technological innovation and building resilient enterprise platforms to power data-driven digital capabilities.

about the job.
Step into a pivotal technical leadership role driving the architectural design, implementation, and governance of enterprise-scale data and intelligence solutions.

• Lead end-to-end technical delivery across the systems development lifecycle for enterprise data and analytics initiatives.
• Translate complex business and regulatory specifications into scalable data models, pipeline architectures, and execution plans.
• Collaborate with engineering, testing, and production support teams to establish rigorous data validation frameworks and prevent operational defects.
• Drive platform modernization programs across automated data discovery, metadata management, and enterprise intelligence enablement.
• Facilitate stakeholder alignment by articulating technical architectures and platform solutions clearly to non-technical business partners.

skills and experience required.

• Substantial background in data systems analysis, platform architecture, and solution design within corporate financial services or banking environments.
• Practical expertise designing distributed processing frameworks, modern table formats, and enterprise ETL pipelines using open-source big data ecosystems.
• Hands-on proficiency with structured querying languages, relational database programming, and analytical scripting languages for large-scale data manipulation.
• Demonstrated understanding of data governance standards, lineage tracking, and regulatory compliance frameworks in highly regulated industries.
• Experience delivering advanced analytics solutions, relationship-based graph modelling, or natural language processing workflows.

Please click on the 'apply' button to apply online. For more information, please reach out to Naveen Vasudevan. (EA: 94C3609 / R1330844)