Logistics Data Analyst (EM6877)

Samsung-posted about 1 year ago
Full-time • Entry Level
Plano, TX
5,001-10,000 employees
Merchant Wholesalers, Durable Goods
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The Logistics Data Analyst at Samsung SDS America plays a crucial role in supporting data-driven decision-making processes within logistics and supply chain operations. This position focuses on collecting, analyzing, and visualizing data to optimize logistics performance, reduce costs, and enhance operational efficiency. The analyst will work with various data analysis tools and automation technologies to improve operational workflows and reporting.

  • 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
  • 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
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