Junior Engineer

INTELLECT MINDS PTE. LTD.; Singapore; On-site; SGD 60,000 - 80,000; Full time

Job summary

A leading analytics firm in Singapore is seeking an experienced professional for supply chain data analysis. The role requires expertise in predictive modeling and data interpretation to enhance demand forecasting. Candidates should have over 14 years of experience in Data & Analytics, particularly in Life Sciences Supply Chain. Proficiency in tools like Power BI and AWS, as well as knowledge of regulatory compliance, is essential. The position offers opportunities for cross-functional collaboration and innovation in analytics.

Qualifications

• 14+ years of experience in Data & Analytics focused on Life Sciences Supply Chain.
• Hands-on experience with big data technologies and cloud-based analytics platforms.
• Proficiency in Databricks, Python, R, and various AWS/Azure services.
• Deep understanding of pharmaceutical supply chain processes.
• Familiarity with visualization tools and supply chain planning systems.
• Knowledge of regulatory compliance and experience with structured/unstructured data.

Responsibilities

• Analyze large and complex datasets for improving demand forecasting.
• Develop predictive models for demand sensing and capacity planning.
• Collaborate with teams to deliver tailored analytics solutions.
• Implement data governance practices to maintain data integrity.
• Create dashboards for real-time supply chain monitoring.
• Stay updated on AI/ML developments for supply chain analytics.

Skills

Data Analysis

Predictive Modeling

Cross-Functional Collaboration

Data Governance

Dashboard Creation

AI/ML in Supply Chain

Tools

Power BI

Tableau

Spotfire

Hadoop

PySpark

Databricks

AWS

Azure

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