AI-Driven Data Analyst for Networks & Operations

Singtel Group

Singapore

On-site

SGD 70,000 - 110,000

Full time

14 days+

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Job summary

Singtel is seeking a data/analytics specialist to drive Outside Plant Network Analytics, build AI-enabled workflows, and deliver insights that shape network operations and investments.

You will develop dashboards, refine KPIs, and apply AI/ML techniques to optimize infrastructure data and processes, collaborating with engineering and operations teams to ensure accurate outputs and continuous improvement.

Qualifications

  • Degree in Computer Science, Engineering, Machine Learning, AI, or related field.
  • Strong analytical thinker with ability to learn new AI tools and domains.
  • Proficiency in Python and AI/ML libraries.
  • Experience with retrieval-augmented generation (RAG) and multi-agent frameworks.
  • Hands-on experience with AI-assisted development tools is a plus.
  • Interest in applying latest AI technologies.

Responsibilities

  • Analyse large volumes of network data to identify trends, risks and improvements.
  • Develop and maintain Power BI dashboards and reports for Outside Plant Engineering and Operations.
  • Establish KPIs and performance metrics for utilization, SLA, productivity and data quality.
  • Perform trend, variance, aging, and root-cause analyses to support decision making.
  • Design and optimize AI workflows and multi-agent agents for operations use cases.
  • Collaborate with engineering and system teams to validate outputs and improve workflows.

Skills

Python
AI/ML
Data analysis
RAG
Multi-agent
Workflow orchestration

Education

Degree in CS/Engineering

Tools

Power Automate
Power Automate Desktop
Claude Code
Codex
Cursor

Job description

Singtel is seeking a data/analytics specialist to drive Outside Plant Network Analytics, build AI-enabled workflows, and deliver insights that shape network operations and investments.

You will develop dashboards, refine KPIs, and apply AI/ML techniques to optimize infrastructure data and processes, collaborating with engineering and operations teams to ensure accurate outputs and continuous improvement.

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