The Supply Chain Data Analyst plays a critical role in optimizing supply chain operations by collecting, analyzing, and interpreting data to support decision-making.
Analyze transportation and supply chain data to identify trends, variances, and improvement opportunities related to cost, service, and efficiency.
Develop and maintain transportation-focused dashboards and performance scorecards using Tableau or similar visualization tools.
Support cost-benefit analyses comparing prepaid vs. collect freight terms across various business units and customer segments.
Conduct carrier performance evaluations using shipment-level data to assess service levels, freight spend, and delivery trends.
Investigate shipping patterns across customers to uncover anomalies, inefficiencies, or mode optimization opportunities.
Collaborate with IT and business users to define reporting requirements, participate in UAT (User Acceptance Testing), and help implement new analytical reports.
Assist in the development and tracking of transportation KPIs, benchmarks, and quarterly business reviews.
Prepare analytical summaries and recommendations to support strategic initiatives, budget reviews, and carrier negotiations.
Maintain documentation for datasets, definitions, and recurring reports to ensure data integrity and repeatability.
Bachelor's degree in Information Technology, Data Science, Supply Chain, or a related quantitative field.
Experience in Python, R, SQL, Alteryx & Excel for data analysis, data cleaning, and visualization.
Strong understanding of machine learning techniques including classification, clustering, regression, and model evaluation.
Experience with SQL, relational databases, and data modeling (dimensional modeling, ETL processes, OLAP).
Experience with data visualization tools such as Tableau or Power BI to build interactive dashboards and reports.
Ability to analyze large datasets, uncover trends, and derive actionable insights in areas such as transportation or carrier performance.
Strong communication skills with the ability to explain technical insights to non-technical stakeholders.
Detail-oriented, highly organized, and capable of working on multiple projects simultaneously.
Master's degree in Information Technology, Industrial Engineering or a related field.
2-3 years of experience in key functional areas: supply chain management, logistics, decision support, transportation management, distribution or procurement functional responsibilities.
SAP BW Hana preferred.
Knowledge and experience with Transportation Management Systems, SAP preferred.
Strong knowledge and understanding of supply chain, transportation, inventory and warehousing concepts, methods & modes.
Experience collecting and analyzing data for modeling, network optimization and/or transportation redesign purposes.