- Singapore Singapore
全职 Data Analyst 工作, 薪水, Singtel 公司招聘中 - Ricebowl
工作地点
职位描述
岗位职责
Date: 31 Aug 2026
Location: Singapore, Singapore
#job-location.job-location-inline { display: inline; }
Company: Singtel Group
We're building an AI-first telco for the future—connecting people, businesses and communities through trusted networks, intelligent digital services and next-generation technology.
From transforming everyday experiences in mobile, broadband, entertainment and lifestyle services to enabling enterprises with AI, 5G+, cloud, cybersecurity, data centres and digital platforms, we create the technology that powers how millions live, work and connect.
At Singtel, your work creates real impact. You'll solve meaningful challenges, shape critical digital infrastructure and help build secure, resilient and AI-enabled solutions that serve businesses, digital ecosystems and communities across the globe.
This is where BIG Possibilities become reality. Whether you're engineering intelligent networks, advancing sovereign AI cloud platforms, strengthening cybersecurity, designing seamless customer experiences or driving sustainable innovation, you'll be part of teams shaping the future of technology.
Backed by decades of expertise and driven by a culture of continuous learning and innovation, Singtel offers the scale, opportunities and support to help you grow your career while making a difference where it matters most.
How You will Make An Impact:
Data Analytics & Business Intelligence
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.
Outside Plant Network Analytics
Support analytics for outside plant infrastructure including:
Fibre and Copper cables
Cables routes and cable segments
Ducts and sub-ducts
Manholes
Fibre distribution infrastructure
Splitters and access network resources
Analyse infrastructure capacity, utilization, availability, and infrastructure conditions.
Identify underutilize, duplicate, obsolete or incorrect recorded resources.
Provide analytical support for infrastructure investment decision.
Outside Plant Inventory & Data Quality
Perform data validation, reconciliation, and cleansing of inventory information.
Identify missing, duplicate, inconsistent or inaccurate records.
Work with engineering and system teams to investigate and resolve inventory discrepancies.
Support reconciliation between Network Resource Inventory (NRI), GIS, Digital Field Force (DFF) and other sources systems.
Automation & Process Improvement
Identify repetitive operational activities suitable for automation.
Develop automated workflows using tools such as Power Automate, Power Automate Desktop or equivalent tools that are approved by company.
Reduce manual effort and improve process turnaround time through data-driven automation.
Measure and track productivity and man-hour saving delivered through automation initiatives.
AI & Advanced Analytics
Design, build and maintain AI workflow/agents for operations use cases.
Develop and optimize AI-driven workflows to improve operational efficiency.
Experiment with multi-agent architecture, RAG pipelines, and skills-based frameworks.
Apply emerging AI technologies to enhance AI workflow/agents.
Explore the application of AI, GenAI, and advanced analytics to Outside Plant Engineering use cases.
Work with operation teams and stakeholders to validate outputs and improve workflows based on user and operational feedback.
Skills for Success:
Degree in Computer Science, Engineering, Machine Learning, Artificial Intelligence, or a related discipline.
Strong analytical thinker, fast learner, able to understand requirements, adapt to new AI tools and domains, communicate clearly, and work independently
Strong proficiency in Python programming and familiarity with AI/ML libraries.
Experience with retrieval-augmented generation (RAG), multi-agent frameworks, or workflow orchestration systems.
Hands-on experience with AI-assisted development tools (e.g., Claude Code, Codex, Cursor) is an added advantage.
Keen interest in applying latest AI technologies.
Telcom outside plant or network inventory experience would be advantage.
Are you ready to say hello to BIG Possibilities?
Join Singtel to shape what's next and accelerate your career through meaningful work, continuous learning, and real impact.
Location: Singapore, Singapore
#job-location.job-location-inline { display: inline; }
Company: Singtel Group
We're building an AI-first telco for the future—connecting people, businesses and communities through trusted networks, intelligent digital services and next-generation technology.
From transforming everyday experiences in mobile, broadband, entertainment and lifestyle services to enabling enterprises with AI, 5G+, cloud, cybersecurity, data centres and digital platforms, we create the technology that powers how millions live, work and connect.
At Singtel, your work creates real impact. You'll solve meaningful challenges, shape critical digital infrastructure and help build secure, resilient and AI-enabled solutions that serve businesses, digital ecosystems and communities across the globe.
This is where BIG Possibilities become reality. Whether you're engineering intelligent networks, advancing sovereign AI cloud platforms, strengthening cybersecurity, designing seamless customer experiences or driving sustainable innovation, you'll be part of teams shaping the future of technology.
Backed by decades of expertise and driven by a culture of continuous learning and innovation, Singtel offers the scale, opportunities and support to help you grow your career while making a difference where it matters most.
How You will Make An Impact:
Data Analytics & Business Intelligence
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.
Outside Plant Network Analytics
Support analytics for outside plant infrastructure including:
Fibre and Copper cables
Cables routes and cable segments
Ducts and sub-ducts
Manholes
Fibre distribution infrastructure
Splitters and access network resources
Analyse infrastructure capacity, utilization, availability, and infrastructure conditions.
Identify underutilize, duplicate, obsolete or incorrect recorded resources.
Provide analytical support for infrastructure investment decision.
Outside Plant Inventory & Data Quality
Perform data validation, reconciliation, and cleansing of inventory information.
Identify missing, duplicate, inconsistent or inaccurate records.
Work with engineering and system teams to investigate and resolve inventory discrepancies.
Support reconciliation between Network Resource Inventory (NRI), GIS, Digital Field Force (DFF) and other sources systems.
Automation & Process Improvement
Identify repetitive operational activities suitable for automation.
Develop automated workflows using tools such as Power Automate, Power Automate Desktop or equivalent tools that are approved by company.
Reduce manual effort and improve process turnaround time through data-driven automation.
Measure and track productivity and man-hour saving delivered through automation initiatives.
AI & Advanced Analytics
Design, build and maintain AI workflow/agents for operations use cases.
Develop and optimize AI-driven workflows to improve operational efficiency.
Experiment with multi-agent architecture, RAG pipelines, and skills-based frameworks.
Apply emerging AI technologies to enhance AI workflow/agents.
Explore the application of AI, GenAI, and advanced analytics to Outside Plant Engineering use cases.
Work with operation teams and stakeholders to validate outputs and improve workflows based on user and operational feedback.
Skills for Success:
Degree in Computer Science, Engineering, Machine Learning, Artificial Intelligence, or a related discipline.
Strong analytical thinker, fast learner, able to understand requirements, adapt to new AI tools and domains, communicate clearly, and work independently
Strong proficiency in Python programming and familiarity with AI/ML libraries.
Experience with retrieval-augmented generation (RAG), multi-agent frameworks, or workflow orchestration systems.
Hands-on experience with AI-assisted development tools (e.g., Claude Code, Codex, Cursor) is an added advantage.
Keen interest in applying latest AI technologies.
Telcom outside plant or network inventory experience would be advantage.
Are you ready to say hello to BIG Possibilities?
Join Singtel to shape what's next and accelerate your career through meaningful work, continuous learning, and real impact.
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