Top Logistics Data & Analytics Jobs in Chicago, IL

The Pricing Analyst will analyze market data, assist in RFP processes, collaborate with the Business Development team, and provide detailed recommendations to improve pricing strategies and customer solutions.

The Senior Analytics Engineer will develop data pipelines, build models, and create dashboards to provide actionable insights for various teams. The role requires collaboration with multiple stakeholders to meet analytical needs and ensure data governance.

Lead the evolution of data platform by designing scalable pipelines, improving data processes, mentoring teams, and modernizing data architecture.

As a Fraud Analyst, you will assess fraud risks, develop prevention strategies, and leverage data analytics while collaborating with cross-functional teams.

The Pricing Analyst will develop accurate pricing for drayage opportunities by analyzing market data, costs, and operational realities, and support bid processes and cross-functional collaboration.

As a Senior GCP Data Engineer, you will design data pipelines, implement data governance, mentor team members, and ensure data quality and integrity.

The Strategic Pricing Analyst will provide data-driven pricing proposals, analyze market trends, and develop pricing strategies for shippers, while collaborating across various internal teams.

The Analytics & Tech Support Manager leads analytics delivery and technical support, focusing on BI development, data governance, and operational excellence. Key responsibilities include defining reporting requirements, managing TMS support, and ensuring data accuracy.

Lead customer-facing analytics to turn multi-source data into actionable insights that drive growth and retention. Embed analytics in sales cycles, build dashboards and playbooks, translate business questions into solutions, capture customer needs, deliver trainings and demos, combine internal and industry signals to craft market perspectives, and engage with strategic customers and industry forums.

The Staff Data Engineer will design data architecture, develop scalable data pipelines, ensure data quality, and lead governance practices while collaborating across teams.