AI-Driven Data Analyst for Network Analytics

Sourceo; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Singtel is seeking an analytics engineer to design, build and maintain AI-enabled data workflows for Outside Plant Engineering. You will transform large operational data into actionable insights and scalable dashboards, enabling data-driven decisions across networks and resources.

You will leverage Python, AI tools, and modern orchestration methods to automate tasks, validate data quality, and drive continuous improvement in performance metrics.

Qualifications

• Degree in Computer Science, Engineering, Machine Learning, Artificial Intelligence, or a related discipline.
• Strong analytical thinker with fast learning ability, adaptable to new AI tools and domains.

Responsibilities

• Analyse large volumes of outside plant network, inventory and operational data to identify trends, exceptions, risks and improvements opportunities.
• Develop and maintain Power BI dashboards and management reports for Outside Plant Engineering and Operations.
• Establish KPIs and performance metrics covering utilization and work progress, SLA performance, productivity, data quality and operational efficiency.
• Perform trend, variance, aging, exception and root cause analysis to support management decision making.
• Support analytics for outside plant infrastructure including Fibre and Copper cables, routes, ducts and resources.
• Identify underutilized, duplicate, obsolete or incorrect recorded resources and validate data quality across systems.

Skills

Python programming

Data analysis

RAG pipelines

Multi-agent frameworks

Workflow orchestration

AI tools familiarity

Education

BSc in Computer Science/Engineering/ML/AI

Tools

Power BI

Claude/Codex/Cursor

RAG & multi-agent tools

Workflow orchestration systems

Job description

Singtel is seeking an analytics engineer to design, build and maintain AI-enabled data workflows for Outside Plant Engineering. You will transform large operational data into actionable insights and scalable dashboards, enabling data-driven decisions across networks and resources.

You will leverage Python, AI tools, and modern orchestration methods to automate tasks, validate data quality, and drive continuous improvement in performance metrics.