Description

You will own the analytics and statistical modeling workstream for global supply chain operations.

Responsibilities

• Partner with Network Planning, Procurement, and Logistics to identify analytics opportunities and define hypotheses.
• Assess dataset feasibility and design prototype models for applied data science and machine learning use cases.
• Perform hands-on data analysis and statistical modeling to deliver actionable insights.
• Build functional apps, interactive dashboards, and data wrangling workflows for business consumption.

Required Skills

• 5+ years of hands-on experience in analytics, data science, or business intelligence.
• Expertise in Python (pandas, numpy, sklearn), R, or SAS for exploratory data analysis.
• Strong SQL skills for complex querying and performance optimization.
• Experience building interactive visualizations using Plotly Dash, QuickSight, or Tableau.
• Proficiency sourcing and cleansing datasets using Databricks, AWS Glue, or Alteryx.
• Experience with AWS cloud platforms including S3, Athena, Redshift, Glue, and SageMaker.
• Practical experience with GitHub, Jupyter Notebook, and Jira.
• Foundational understanding of data warehousing, design, modeling, and data engineering.
• Experience working with large-scale ERP systems such as Oracle and SAP.

Preferred Skills

• 3+ years of experience in supply chain, operations, procurement, consulting, or life sciences.
• Understanding of UX design principles, product management, and agile methodology.

Key Skills

Education

Any Gradute