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Sr. Manager, International Supply Chain Analytics \u0026 Insights

Walmart


Location:
BENTONVILLE, AR
Date:
08/15/2017
2017-08-152017-09-13
Job Code:
878737BR
Walmart
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Job Details

JobId: 878737BR
JobTitle: Sr. Manager, International Supply Chain Analytics \u0026 Insights
City: BENTONVILLE
State: AR
Description: Leads the continuous improvement of data science and analytics by researching industry best practices and staying up-to-date on analytical practices; developing innovative solutions, processes, and techniques (for example, developing and scaling new algorithms); evaluating and recommending vendor products and services; integrating third-party solutions into current processes; utilizing data tools (for example, SQL, Hadoop, Weka, R, Matlab, ILog) to drive insights; validating models and algorithmic techniques; developing and recommending process standards and best practices across the retail industry; and mentoring peers and analysts across the division in analytical best practices. Consults with business stakeholders on data-based insights by serving as the data science subject matter expert for the division; analyzing data to develop data-driven insights; applying analytical results to division goals; identifying trends across the company; translating results into actionable recommendations; identifying potential consequences of proposed plans and providing alternative recommendations; and presenting insights and recommendations to stakeholders and peers. Drives strategies for analytics across the division by participating in business strategy discussions to ensure alignment between data and business objectives; analyzing business direction and identifying key insights needed; developing advanced analytics models based on business initiatives; leading project team discussions to determine project plans and direction; synthesizing data to ensure validity and usability; building large analytics datasets to support project goals; utilizing big data analytics and advanced data and text mining technologies; building learning systems to analyze and filter continuous data flows and offline data analysis; presenting results, insights, and actionable recommendations for business plans to key stakeholders; and influencing future business plans based on analytics insights. Leads multiple large-scale analytic project teams by serving as the senior technical lead for project teams; working with business partners to translate project goals into data analytic models; facilitating discussions with business partners to determine the root cause of business problems; aligning divisional goals with project plans; developing contingency plans for data analysis; designing data collection tools to conduct primary research to address business initiatives; developing timelines for project execution; utilizing business knowledge to ensure data supports project goals; and developing recommendations based on data analysis.
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