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Analytics Insights Manager, Global Sourcing & Manufacturing

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Data & Analytics
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63 Total Views
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WHAT YOU BRING

  • Bachelor's degree required.
  • Advanced quantitative degree in Business Analytics, Statistics, Decision Science, Operations Research, Engineering, Applied Math, Econometrics, Behavioral Science, Computer Science (or other quantitative field) a plus
  • 4+ years in business insights, analytics, data products & reporting, and/or advanced analytics supporting a supply chain function via descriptive, predictive or prescriptive models
  • Preferred experience includes collecting, analyzing and visualizing data, and driving insights to understand, shape and optimize business outcomes, and influence decision making
  • Preferred experience includes tracking, managing and optimizing critical supply chain metrics and KPIs related to materials, sustainability, sourcing and manufacturing, and costing management
  • History of analytical team collaboration and developing collaborative business partner relationships
  • Skilled communicator who can express complex concepts and ideas in a simple manner (written, presentation and verbal)
  • Experience leading multiple projects and partners in a fast paced, results-driven business environment
  • Experience with agile & product management development methodologies preferred
  • Proficiency in SQL or similar experience in analyzing large structured and unstructured datasets is preferred
  • Experience with moderate to large-scale data sets is a plus
  • Experience working with Business Intelligence, Analytics and Data Visualization tools, e.g. Tableau, Cognos, Business Objects, Power BI, or similar is preferred
  • Experience working with data exploration and analytical packages (such as Python, R, MATLAB, SPSS, SAS, Stata, etc.) is a plus
  • Experience in applying advanced analytics models to advise or optimize end-to-end supply chain networks is a plus
  • Understanding of data sources, research methods and applied operations research methodologies including optimization algorithms, and simulation modeling, and statistical analyses such as sampling approaches, causal modeling, time series analysis, and data mining techniques is a plus