Remote Logistics Analytics Intern

Otis Worldwide Corporation; Connecticut; Hybrid; USD 28,000 - 32,000; Full time

Job summary

Otis Worldwide Corporation is offering a Logistics Analyst Summer Intern position to support the Logistics Center of Excellence in advancing global transportation and warehousing strategies through data analysis and procurement event support.

You will work with regional logistics, procurement, and finance stakeholders to improve cost visibility, optimize end-to-end material flows, and quantify value creation. Strong analytical skills and Excel experience are essential for success in this role.

Qualifications

• Strong analytical and problem-solving skills.
• Proficiency with Excel and PowerPoint; experience with Power BI/Power Query/Python/SQL preferred.
• Interest in AI, automation, and digital tools for supply chain decisions.

Responsibilities

• Support the development and facilitation of transportation and warehousing RFPs across global regions.
• Validate inputs to and outputs from procurement events, including lane data and rate structures.
• Manage data/templates to ensure alignment across regional stakeholders and teams.
• Develop tools and dashboards to quantify value and improve visibility of logistics spend and performance.
• Collaborate with regional teams to understand cost, service, and capacity impacts across networks.

Skills

Analytical skills

Excel

PowerPoint

Power BI

Python

SQL

Data analytics

Communication

Collaboration

Education

Pursuing degree in supply chain/logistics/analytics

Tools

Power BI

Power Query

Python

SQL

Job description

Otis Worldwide Corporation is offering a Logistics Analyst Summer Intern position to support the Logistics Center of Excellence in advancing global transportation and warehousing strategies through data analysis and procurement event support.

You will work with regional logistics, procurement, and finance stakeholders to improve cost visibility, optimize end-to-end material flows, and quantify value creation. Strong analytical skills and Excel experience are essential for success in this role.