- 105 CECIL STREET Central Region (Singapore) Singapore

工作地点
职位描述
岗位职责
Role Overview
A banking institution is looking for a Data & Analytics Engineer to support AI-driven operations analytics, with a focus on log analysis, incident insights, and data modelling for intelligent operations. This role sits at the intersection of data engineering, analytics, and AI enablement.
Key Responsibilities
Data Engineering & Pipelines
Design and build data pipelines for logs, incident records, and infrastructure metrics
Integrate with log aggregation and monitoring platforms
Structure and prepare data for AI and analytics consumption
AI-Driven Analytics
Enable log correlation and intelligent reasoning using AI tools
Collaborate with AI teams to feed structured data into machine learning models
Operations Analytics Use Cases
Deliver analytics for incident management, storage and infrastructure metrics, and log monitoring insights
Dashboard & Visualisation
Build dashboards using business intelligence and monitoring tools
Present insights to leadership and support demo and rollout activities
Data Modelling & Governance
Design data models for operational analytics
Ensure data quality, consistency, and scalability across solutions
Requirements
Technical Skills
Strong experience in SQL and data modelling
Hands-on experience with ETL and data pipelines
Proficiency with business intelligence tools (e.g., Power BI or similar)
Experience with log and monitoring platforms (e.g., Elastic, Splunk, or similar)
Exposure to AI/ML concepts or LLM integration
Interested candidates please email your latest resume to *************
重要安全守则
申请工作时,切勿提供您的银行或信用卡详细资料。不要转账或完成无关的在线调查问卷。如果您发现可疑内容,请举报此招聘广告。