Principal Supply Chain Analytics Lead

INTELLECT MINDS PTE. LTD.; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading technology consulting firm in Singapore seeks an experienced Data & Analytics professional focused on Life Sciences Supply Chain. Responsibilities include data analysis, developing predictive models, and cross-functional collaboration to enhance supply chain performance. Candidates should have over 14 years of experience, proficiency in tools like Power BI and AWS, and a strong understanding of pharmaceutical supply chains. The role involves creating dashboards and ensuring data integrity while staying informed on innovative analytics techniques.

Qualifications

• 14+ years of experience in Data & Analytics, focusing on Life Sciences Supply Chain.
• Hands-on experience with big data technologies and cloud-based analytics.
• Proficiency in Databricks, Python, R, and AWS/Azure services.

Responsibilities

• Analyze large datasets from ERP, MES, and LIMS systems for demand forecasting.
• Develop and validate predictive models for supply chain optimization.
• Collaborate with cross-functional teams to solve operational challenges.
• Implement data governance practices to maintain data integrity.
• Create dashboards and reports for real-time supply chain monitoring.
• Stay updated on developments in AI/ML for supply chain analytics.

Skills

Data Analysis

Predictive Modeling

Cross-Functional Collaboration

Data Governance

Reporting

Innovation in Analytics

Tools

Power BI

Tableau

Spotfire

AWS

Azure

Databricks

Python

R

Hadoop

PySpark

SAP IBP

Kinaxis

Job description

Key Responsibilities

• Supply Chain Data Analysis and Interpretation: Analyze large and complex datasets from ERP, MES, and LIMS systems to identify trends, patterns, and actionable insights for improving demand forecasting
• Model Development for Supply Chain Optimization: Develop and validate predictive models and algorithms for demand sensing, capacity planning, lot traceability, and risk mitigation across global pharmaceutical
• Cross-Functional Collaboration: Work closely with manufacturing, quality, clinical supply, and distribution teams to understand operational challenges and deliver tailored analytics solutions tha standards
• Data Management & Compliance: Implement robust data governance practices to maintain data integrity and quality, ensuring adherence to FDA, EMA, and other regulatory requirements for life science
• Reporting and Visualization: Create intuitive dashboards and reports for real‑time supply chain monitoring, leveraging tools like Power BI, Tableau, or Spotfire to communicate insights to stakeholders
• Innovation in Supply Chain Analytics: Stay updated on the latest developments in AI/ML for supply chain, including digital twin modeling, predictive maintenance, and blockchain for serialization, appl complex challenges

Preferred Qualifications

• 14+ years of experience in Data & Analytics, with a strong focus on Life Sciences Supply Chain
• Hands‑on experience with big data technologies (Hadoop, PySpark) and cloud‑based analytics platforms (AWS, Azure)
• Proficiency in Databricks, Python, R, and AWS/Azure services such as SageMaker, Glue, Lambda, Step Functions, and EMR
• Deep understanding of pharmaceutical supply chain processes, including cold chain logistics, serialization, and clinical trial supply
• Familiarity with data visualization tools (Tableau, Power BI) and supply chain planning systems (SAP IBP, Kinaxis)
• Knowledge of regulatory compliance (GxP, FDA, EMA) and experience working with structured and unstructured data from ERP and manufacturing systems