Analytics Intern

About Axle Logistics

Meet Axle Logistics: an award-winning logistics company that doesn't fit the mold.

We pride ourselves on changing the industry standard and setting a new tone in the logistics field. Ask our current employees what it's like to work here, and you'll hear words not often used to describe a logistics shop: energetic, contagious, addicting, inspiring, meaningful, rewarding, and fun.

At Axle Logistics, we strongly embrace the entrepreneurial spirit and have a passion for providing real opportunities to ambitious professionals who share our energy and competitive nature. Whether you're a recent college graduate or a seasoned business professional looking for a career change, we can provide you with a path for success through our comprehensive training program, professional development process, and unlimited access to a dynamic leadership team with years of experience in the industry.

We love to see each other win. Positive attitudes produce positive results, and that spirit is the foundation of everything that we do.

About the role

Axle Logistics is seeking a highly motivated and analytical Analytics Intern to join our dynamic team. This role offers a unique opportunity to apply classroom knowledge to real-world transportation and logistics challenges, contributing directly to our operational efficiency and strategic decision-making.

What you'll do

• Gain exposure to the supply chain industry, specifically third-party logistics

• Develop business analytics skills

• Learn various sales skills - visualization software, operating systems, automation

• Build a board of directions (business network) throughout the summer

• Participate in a community service activity to cultivate community awareness and the growing needs of surrounding neighborhoods

Qualifications

• Current Enrollment: Must be currently enrolled in an accredited college or university pursuing a degree in a quantitative field such as Data Science, Business Analytics, Finance, Statistics, or a related discipline.
• Data Analysis Tools: Demonstrated proficiency and hands-on experience with:
• • SQL: Ability to write and understand basic to intermediate queries for data extraction and manipulation.
  • Microsoft Excel: Strong skills in using advanced functions (e.g., VLOOKUP, Pivot Tables, conditional formatting) for data modeling and analysis.
  • Power BI (or similar BI Tool): Familiarity with building basic dashboards, reports, and data visualizations.
• Analytical Aptitude: Proven ability to quickly learn complex business processes and translate raw data into actionable insights.
• Communication: Excellent verbal and written communication skills with the ability to clearly present technical findings.