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Analytics and Reporting Manager

Date: Jul 30, 2019

Location: Taipei, Taiwan, TW

Company: Corning

Requisition Number: 37695

 

Corning 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:

• Lead 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 leader, working closely with IT, to drive effectiveness in the overall division data warehouse strategy and use of analytics and reporting tools

• Lead projects / programs and initiatives, working cross functionally within the business and with IT/external suppliers to deliver required capabilities

• Leverage Corning corporate & regional capabilities, initiatives, and expertise to enhance CDT analytics, business intelligence and reporting capabilities

• Work closely with IT to bring best practices into CDT data analytics, business intelligence and reporting applications

 

Key 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 success

• Develop the analytics and reporting strategy, gaining alignment across the division and Corporate strategies

• Develop and maintain metrics around reporting and advanced analytics usage and impact.

• Provide advice, and work with IT from the business perspective to improve architecture performance

• Process and system alignment and integration across functions: commercial, supply chain, quality, logistics, procurement and manufacturing

• Evaluate advanced analytics and reporting tools and drive utilization and standardization in alignment with IT

 

Performance Metrics:

• Utilization of preferred/modern reporting and analytics tools

• Enabling data access and analysis with less time required by the user

 

Desired Competencies (knowledge, skills and behaviors):

• Strong business acumen

• Analytics knowledge on AI, machine learning, algorithm development, business intelligence techniques

• SAP system and process knowledge

• Skills and experience in end-to-end supply chain (Plan, Source, Make, and Deliver) or Development and Engineering, or Finance

• Experience working with relational databases (Oracle, SQL Server, AWS) is required

• Experience using PowerBI for the creation of dashboards, standard reports and ad-hoc reports; familiar with Data Visualization best practices

• Experience working with multiple disparate data sources

• Experience with advanced PowerBI, R and Python topics such as complex calculations, table calculations, parameters, geographic mapping, and performance optimization

• Ability to:

o Identify and cultivate new talent

o Sell new ideas effectively and get to win/win

o Deal effectively with ambiguity

o Collaborate, motivate and lead globally across cultures and through others to influence the achievement of common goals.

 

Experience/Education:

• Bachelor's Degree (Technical, Business, or IT)

• 10+ years analytics and data analysis experience

• Global work experience, working across regions and cultures.

• Experience leading global teams, including matrix assignments Desired

• Master’s in Statistics, Data Science, Business or Supply Chain Management / Computer Science.

• Business Analysis Certification

• Supply Chain / Logistics Certification and experience

• LEAN or Six Sigma Certification or equivalent experience

• Experience across multiple businesses, division and/or technologies