Supply Chain Data Analyst


Job Description

  • Manage supply chain data and related analytics by designing, producing, analyzing, continuously improving, and presenting monthly logistics and supply chain metrics, measuring operational and financial performance against customer specific objectives
  • Design and produce monthly internal reports and metrics to measure performance against targets/budgets, and to measure internal operational performance, identify trends and issues, and to measure internal efficiency
  • Identify, prioritize, structure, and solve complex supply chain problems using data mining, analytics, and business judgment
  • Summarize findings into useful information with implication for increase revenue, cost reduction, and/or driving supply chain business decisions
  • Plan and implement supply chain optimization projects related to inventory management, cost optimization, and route planning, to meet business requirement
  • Responsible for developing models to recommend inventory deployment configurations and optimize ordering parameters
  • Regularly track KPIs and report on supply chain performance
  • Create dashboards, reports, and analysis that explain trends – what happened, what may happen, and why
  • Evaluate route schedules or load plans, including historical activity and shipment trends to provide recommendations for improvements to routing efficacy and solution efficiency
  • Handle reoccurring analysis and tasks aimed at driving continuous cost savings initiatives
  • Examine current processes to identify shortcomings and implement or recommend improvements to drive out waste
  • Responsible for planning and documenting standard operating processes
  • Collaborate with internal subject matter expert to resolve supply chain related problems and support implementations 

·     Education: Bachelor’s degree in Supply Chain, Logistics, Business, Industrial Engineering, or Information Systems. However, a degree in Industrial Engineering or Logistics & Supply Chain Management is often preferred·     Ability to analyze large and multi-dimensional data sets using SQL (PL/SQL or T-SQL), Excel, and other analysis tools. ·     Fundamental understanding of transportation, supply chain and logistics concepts, and familiarity with data warehousing and architecture concept/tools is a plus·     Working knowledge of Data Mapping and Data Mining experience and the ability to follows process and standard procedures·     Quantitative and analytical skills: must be highly numerate and possess the ability to perform statistical analysis on large data set, to provide analytical support for projects, new businesses opportunities, and proposals·     Problem solving skills: They are expected to be naturally curious and with proven ability to identify and resolve problems·     Critical thinking skills: They require an affinity for data and resourcefulness in obtaining data and must be able to relate with abstract to make decisions in situations where complete information is not available·     Master Data: keen understanding of Master Data Management and data structures within Project management skills: They also require project management skills to provide leadership for minor projects through to completio

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