Analytics and Reporting SME
Corning
台北市, TW
6天前
source : jobs4it

Location : Taipei, Taiwan, TWCompany : CorningRequisition Number : 37559Corning is one of the world’s leading innovators in materials science.

For more than 160 years, Corning has applied its unparalleled expertise in specialty glass, ceramics, and optical physics to develop products that have created new industries and transformed people’s lives.

Corning succeeds through sustained investment in R&D, a unique combination of material and process innovation, and close collaboration with customers to solve tough technology challenges.

The Global Supply Management (GSM) Function is recognized as a critical function for business success. It delivers the training, tools and opportunities needed to create innovative solutions for the function & the corporation.

GSM has leading edge, effective processes to anticipate and exceed customer requirements. Role Purpose : SME of CDT analytics and reporting requirements collection, analysis, review and prioritization with functional stakeholders.

o Systems covered include : ERP (SAP, PeopleSoft), MES, Logistics & Procurement, Planning, Production Performance Tracking, and Quality.

Business SME, working closely with IT, to drive effectiveness in the overall division data warehouse strategy and use of analytics and reporting toolsManage projects / programs and initiatives, working cross functionally within the business and with IT / external suppliers to deliver required capabilitiesLeverage Corning corporate & regional capabilities, initiatives, and expertise to enhance CDT analytics, business intelligence and reporting capabilitiesWork closely with IT to bring best practices into CDT data analytics, business intelligence and reporting applicationsKey Responsibilities : Deliver analytics capabilities and reports through direct project leadership and engagement with functional customers, leveraging IT or external capabilities.

Support function led projects in related areas to enable successDevelop the analytics and reporting strategy, gaining alignment across the division and Corporate strategiesDevelop and maintain metrics around reporting and advanced analytics usage and impact.

Provide advice, and work with IT from the business perspective to improve architecture performanceProcess and system alignment and integration across functions : commercial, supply chain, quality, logistics, procurement and manufacturingEvaluate advanced analytics and reporting tools and drive utilization and standardization in alignment with ITPerformance Metrics : Utilization of preferred / modern reporting and analytics toolsEnabling data access and analysis with less time required by the userDesired Competencies (knowledge, skills and behaviors) : Strong business acumenAnalytics knowledge on AI, machine learning, algorithm development, business intelligence techniquesSAP system and process knowledgeSkills and experience in end-

to-end supply chain (Plan, Source, Make, and Deliver) or Development and Engineering, or FinanceChange management experience across different functionsStrong knowledge around databases, extract and load processes, and reporting and analytics toolsAbility to : o Identify and cultivate new talent o Sell new ideas effectively and get to win / wino Deal effectively with ambiguityo Collaborate, motivate and lead globally across cultures and through others to influence the achievement of common goals.

Experience / Education : RequiredBachelor’s Degree (Technical, Business, or IT)8+ years analytics and data analysis experienceGlobal work experience, working across regions and cultures.

Experience leading global teams, including matrix assignmentsDesiredMaster’s in Statistics, Data Science, Business or Supply Chain Management / Computer Science.

  • Business Analysis Certification
  • Supply Chain / Logistics Certification and experienceLEAN or Six Sigma Certification or equivalent experienceExperience across multiple businesses, division and / or technologies.
  • Familiar with Data Analytics related tools, such as Power BI, SAS etc.

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