Logistics Data Analyst (EM6877)

Position Summary:

Samsung SDS plays a leading role in the global logistics market with unique logistics services. With its innovative IT technology, SDS developed the integrated logistics solution called “Cello” in 2010, started its logistics business in 2012 and expanded its logistics business with Business Process Outsourcing.

As Korea’s no.1 IT service provider, Samsung SDS has completed a number of SCM/logistics consulting and system development projects for the last 30 years. Based on the extensive experience and expertise it built over the years, Samsung SDS started to provide tech-based logistics services in 2012 and has now grown into a global top-level third-party logistics company.

 The Logistics Data Analyst will support data-driven decision-making processes in logistics and supply chain operations. The role involves collecting, analyzing, and visualizing data to optimize logistics performance, reduce costs, and enhance operational efficiency. The role involves collecting, analyzing, and visualizing data to optimize logistics performance, reduce costs, and enhance operational efficiency.

To learn more about Samsung SDS America, Inc. please visit

Key Responsibilities:

• Analyze and scope requirements and create technical requirements; develop relevant use cases for RPA and Automation opportunities
• Monitor and test RPA programs to maintain stability and consistency of running scheduled tasks daily
• Design, develop, and manage RPA programs to automate various tasks such as emailing, scheduling, downloading data, and activating Excel macros
• Design and create dashboards using Microsoft Excel, Power BI, Qlik Sense, and other web applications
• Manage automation tasks such as: collecting data from various sources, aging delivery, and other functions as required. Design automation of routine tasks using RPA tools
• Design and document technical specifications for RPA implementation projects
• Develop test plans and test the new modules to ensure the software works as expected
• Analyze various data using Python and Qlik Sense to identify cost savings potential
• Work collaboratively with director and other developers in the team through the execution of the project
• Perform ad-hoc reporting and other job related duties, as required

• Bachelor’s degree in relevant field, such as Data Science, Statistics, Mathematics, Computer Science, Economics, Business Analytics, Supply Chain Management.
• 2+ years of experience in logistics, data analysis, or supply chain operations.
• Proficiency in data analysis tools (e.g., Excel, SQL, Tableau, or Power BI)
• Strong analytical, problem-solving, and critical thinking skills.
• Knowledge of logistics software and Transportation Management Systems (TMS) is a plus.
• Attention to detail and accuracy in data analysis.
• Ability to communicate findings effectively to non-technical stakeholders.
• Strong organizational skills and ability to prioritize tasks.
• Certifications in analytics tools (e.g., SQL, Tableau, Power BI) or relevant coursework in data visualization, database management, or machine learning preferred.

Samsung SDSA offers a comprehensive suite of programs to support our employees:

• Top-notch medical, dental, vision, and prescription coverage
• Wellness program
• Parental leave
• 401K match and savings plan

• Flexible spending accounts

• Life insurance

• Paid Holidays
• Paid Time off
• Additional benefits

Samsung SDS America will support your professional development and growth in your future career.

Your base pay is one part of our total compensation package and is determined within a range. This allows you to progress as you grow and develop within the position.

Your base pay will depend on your skills, education, qualifications, experience, and location.

Samsung SDS America, Inc. is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability, status as a protected veteran, marital status, genetic information, medical condition, or any other characteristic protected by law.