Logistics Analytics & Optimization Specialist

Granules Pharmaceuticals, Inc.; Chantilly (VA); On-site; USD 60,000 - 70,000; Full time

Job summary

Granules Pharmaceuticals Inc. in Chantilly, Virginia, is seeking a Logistics Analytics & Optimization Analyst to transform transportation data into actionable insights.

You will own freight cost models, dashboards, and performance metrics to drive cost efficiency across inbound and outbound logistics. Collaborating with Logistics, Supply Chain, Procurement, and Operations, you will build forecasting models, support S&OP, and lead ongoing optimization across modes, carriers, and networks to

Qualifications

• Advanced data analytics, statistical analysis, cost modeling of transportation and logistics operations.
• Experience with BI dashboards and data visualization.
• Knowledge of freight market intelligence platforms and logistics data management.

Responsibilities

• Build and maintain freight cost dashboards across all modes (ocean, air, FTL, LTL, parcel, drayage).
• Benchmark freight rates against market indices monthly (DAT, Xeneta, Freightos).
• Model cost impact of network changes (e.g., NDC consolidation, mode shifts).
• Own the monthly logistics performance scorecard and KPI reporting.
• Support S&OP with transportation capacity and cost inputs; drive ongoing optimization.

Skills

Advanced data analytics

Power BI/Tableau

SQL/Python

Cost modeling

Stakeholder management

Education

Bachelor’s degree in supply chain, Industrial Engineering, Data Science, or Analytics

Tools

TMS

SAP/ERP reporting

Xeneta/DAT/FreightWaves

Job description

Granules Pharmaceuticals Inc. in Chantilly, Virginia, is seeking a Logistics Analytics & Optimization Analyst to transform transportation data into actionable insights.

You will own freight cost models, dashboards, and performance metrics to drive cost efficiency across inbound and outbound logistics. Collaborating with Logistics, Supply Chain, Procurement, and Operations, you will build forecasting models, support S&OP, and lead ongoing optimization across modes, carriers, and networks to