Sr Analyst - Advanced Analytics, GIC SC Analytics

Overview

Key Accountabilities

• Translate business objectives into analytical problems, project scopes, success criteria, and feasible data requirements for manufacturing and supply chain initiatives.
• Extract, cleanse, and analyze manufacturing data using SQL, Python, and BigQuery to identify trends, drivers, and root causes.
• Develop and apply statistical, optimization, predictive, prescriptive, and machine learning models.
• Use models to improve performance, reliability, maintenance, and waste.
• Build and maintain dashboards, recommendation reports, and self-service analytics solutions using Python, Dash, GitHub, and DevOps practices.
• Ensure data quality, automation, version control, and production deployment.
• Independently deliver moderately complex projects, partner with plant and business stakeholders, and communicate results.
• Demonstrate business impact, follow Agile practices, and mentor analysts while ensuring analytical rigor.

Minimum Qualifications

• Bachelor's degree in a relevant field such as Engineering, Statistics, Mathematics, Operations Research, or Computer Science.
• 2–5 years of experience in a data analytics or engineering role, preferably within manufacturing or supply chain.
• Proficiency in SQL and Python programming.
• Strong analytical, problem-solving, communication, collaboration, and independent-working skills.
• Ability to connect insights to business decisions.

Preferred Qualifications

• Master’s degree in engineering, Statistics, Mathematics, Operations Research, or a related field.
• 4+ years of analytics or engineering experience in manufacturing or supply chain.
• Proficiency in Python, Dash or similar visualization tools, SQL, and cloud platforms such as BigQuery.
• Knowledge of statistical modeling, optimization, machine learning, and reliability methods including FMEA and RCM.
• Experience with MES, ERP, MMS, and Agile-Scrum environments.