Job Overview
Position Responsibilities The candidate will work to apply data science skills to provide new insights and build new tools to solve strategic problems. Candidate is expected to perform extract-transform-load operations as well as design and operationalize analytics. Required Qualifications Demonstrated on-the-job experience getting data or proposing ways in which to measure or collect the data in the future Experience working with and manipulating the data to answer the question at hand or develop metrics that are relevant Demonstrated on-the-job experience with Data Analytics Demonstrated on-the-job experience solving data problems, successfully and skillfully conveying process and outcomes to senior stakeholders in both written and oral formats Intellectually curious and motivated to research and learn new techniques to support Enterprise Supply Chain initiatives Masters or higher in a quantitative discipline such as Statistics, Economics, Mathematics, Computer Science Experience extracting New and Innovative Insights from Complex, Non-Traditional, andor Large Data Sets Demonstrated on-the-job experience with Data Analytics tools including SQL Developer, Python, MS Access, Advanced Excel Demonstrated on-the-job experience briefing results and associated methodologies in a manner that is easy for non-technical audience to understand Demonstrated on-the-job experience with the enterprise data systems such as Peoplesoft, Beeline Experience working in an Agile environment Experience with Data visualization Tools including Tableau, Microsoft Power BI Predictive modeling, statistics, trend analysis, and other data analysis techniques to collect, explore, and identify the right data to be analyzed from internal and external sources Proficient in working with large-scale business data sets, fluent in scripting and rapid prototyping skills 5 – 7 years related experience
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