Infrastructure Data Analyst

Our client is a giant Pharmaceutical company (U.S. MNC) and they are currently seeking an Infrastructure Data Analyst to join the Global Technology Organization (GTO) / Global Infrastructure Operations (GIO) Performance Management & Analytics team.

What You Will Do

• Support the data analytics and reporting function in both operations and strategic area.
• Conduct deep data analysis, develop dashboards and reports.
• Participate in initiatives and projects/programs including ideation, requirements gathering, alignment between IT strategy and information requirements etc.
• Design and implement user-centric reports and performance measurement dashboards.
• Report metrics and KPI/SLAs to include quality measurements, predictive analysis and cost per unit measurements.
• Apply user interface design to improve dashboard storytelling experience.
• Work with infrastructure vendors to get updates, report resource accounting and automate manual or repetitive tasks.
• Management of asset lifecycle, implement predictive forecasting and growth.
• Conduct analysis and insights on infrastructure data, propose and implement improvements.
• Conduct cost benefit analysis and measure cost per unit of infrastructure stacks for cost effectiveness.
• Perform integration and cross-analysis of multiple datasets to extract further insights into infrastructure service performance, identify gaps and trends to facilitate management decision making.
• Maintain Technology Roadmaps.
• Conduct process assessments and design workflows to improve customer experience towards excellent infrastructure service delivery and continuous improvement.
• Support demand forecasting and capacity management planning.
• Tool maintenance - operation and development based on demanded functionality
• Identify manual repetitive reporting efforts and creating automated reports.

What You Will Need

• BSc Degree or equivalent with relevant experience in Computer Science, Computer Science Engineering, Information Systems, Math, or equivalent experience.
• Experienced in SQL, Python and IT infrastructure.
• Knowledge of IT infrastructure stacks (servers, database, storage).
• Has an eye in user interface design and graphics visualization.
• Front-end visualization tools such as Spotfire, d3.js, Graphana and others.
• Experience in managing large data sets and knowledge of data science programming.
• Experience in creating documentation, defining workflows and processes.
• Experience in data collection, data mining, and metrics reporting.
• Strong analytical skills and comfortable to work with figures and numbers.
• Naturally curious and innovative.
• Self-motivated in delivering results and taking ownership.
• Independent, organized and meticulous.
• A team player with excellent communication skills.
• Willing to explore new concepts and tools.
• Strong interest in constantly improving customer experience through data transparency.

Interested candidates, please send in your application with your detailed and updated CV to Tammy Chew Wen Hui (R1877573) at [email protected]. Thank you!

Tammy Chew Wen Hui EA License No.: 02C3423 Personnel Registration No.: R1877573