Intern, Data Analyst (Operational Technology)
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Job Description
Job Description
Data Analytics & Operational Monitoring
Data Analytics & Operational Monitoring
- Analyse operational and system data to identify trends, issues and improvement opportunities
- Develop and enhance dashboards for system health, equipment status, spare-parts availability and operational KPIs
- Support the development of network monitoring dashboards to monitor device status, connectivity and performance
- Clean, validate and consolidate data from different sources
- Support reporting automation and continuous improvement of dashboards
- Gain practical experience in data analysis and visualisation
- Develop dashboard and reporting skills
- Understand how data supports operational monitoring and decision-making
- Gain exposure to IT/OT systems, infrastructure and network monitoring
- Develop analytical and problem-solving skills
- Basic data analysis and visualisation skills
- Excel and Power BI knowledge preferred
- Basic SQL/database knowledge is an advantage
- Basic networking knowledge is an advantage
- Analytical, detail-oriented and willing to learn
- Currently pursuing a Diploma or Bachelor's Degree in Data Analytics / Business Analytics / Information Systems / Computer Science / IT / Network Engineering, or a related discipline
- Student Status: Must be currently enrolled as a full-time student at a recognized Institute of Higher Learning (IHL) in Singapore
- Credit-Bearing & Graduation Requirement: The internship must be a compulsory, credit-bearing component of your academic program required for graduation
- Duration & Availability: Able to commit to a full-time internship for a minimum period of 16 consecutive weeks
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Key Skills
About Company
Skills:
Power Bi, Power Automate, AI tools
Skills:
google suite , docs , Excel, Canva, Word, Generative AI, Slides, Powerpoint, Content Creation, data reporting, Video Editing, CapCut, Copywriting, Filming and editing, Social media platforms, Sheets
Skills:
AI tools, Data Analysis, Portfolio analytics, Pricing Models
Skills:
Power Bi, Data Cleaning, Applications lifecycle management, Level 2 diagnosis, Data inventory, Data Retention Policy, Dynamic forms, GLPI
Skills:
Statistical Analysis, Artificial Intelligence, Machine Learning, Data Analysis, AI-Enabled workflows, process monitoring, Defect analysis, Visualization tools, Dashboard creation