Why Capstone?

Capstone is your partner-obsessed, data-driven, results-oriented transportation solutions provider. As the freight management division of Capstone Logistics, a billion-dollar supply chain entity spanning 550 facilities across North America and handling over 6 million shipments per year, we deliver an exceptional end-to-end client experience through deep supply chain expertise, innovative technology, and a national-reaching carrier network. From inbound logistics to last mile delivery, our integrated solutions serve a wide range of partners that require high-touch service. Additionally, we offer transportation bid management software for cost benchmarking, optimized mode selection, carrier sourcing, RFP hosting, and more.

Capstone has been named a Top Freight Brokerage Firm based on net revenue by Transport Topics and recognized by Food Logistics as both a Top 3PL & Cold Storage Provider and a Top Software & Technology provider.

Are you data driven, results oriented, and client obsessed? We’re looking for sharp, ambitious, and enthusiastic candidates to join our team. We’ve built a high-energy, positive environment with opportunities to elevate our people through mentorship and talent development programs, upward mobility, and community involvement.

What you’ll master:

As a Sr. Data Analyst at Capstone Logistics, Freight Management Division, you will support leadership with insights gained from analyzing both company data and external data sources across the trucking industry. The ideal candidate is adept at using large data sets to find opportunities for product and process optimizations and using models to test the effectiveness of different courses of action. Experience using a variety of data mining/data analysis methods, using a variety of data tools, and creating/utilizing algorithms and models is important. Candidate must have a proven ability to drive business results with their data-based insights while working cross-departmentally. We are looking for a professional with a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Some Specific Job duties include, but are not limited to:

Roles and Responsibilities:

• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions through trends and patterns
• Processing, cleansing, and verifying the integrity of data used for analysis
• Develop a deep understanding of the company pricing analytics platform and operational algorithms, creating processes and tools to monitor and analyze performance
• Use predictive modeling/machine learning to optimize proprietary products and tools, increase revenue generation and overall business outcomes
• Present solutions and strategies using data visualization techniques to stakeholders as well as the solutions implementation/product development team
• Documenting processes and research as well as contribute to the efficiency, effectiveness, and improvement of LDL data science best practices

What we’re looking for:

• Degree in Computer Science, Mathematics, Statistics, Operations, Research or related field.
• Excellent quantitative analysis skills, able to take mixed data as an input and derive actionable recommendations as output.
• Ability to visualize data and present core insights in a clear and compelling way.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, etc.) and their real-world advantages/drawbacks
• Knowledge of advanced statistical techniques, predictive modeling, operations research, informatics and tools, e.g., R, Python and experience with application
• Excellent written and communication skills
• 5 years in consultative data analytics
• 3 years logistics experience encouraged

What we bring to the table:

• Downtown Chicago location
• Health, dental, vision, disability, and life insurance
• PTO & paid holidays
• 401(k) company match
• Philanthropy events
• Casual dress code
• Corporate workout facility