Supply Chain Data Analyst

The primary responsibilities of the Supply Chain Data Analyst are defining/documenting business requirements, designing and producing data sets and developing reports/dashboards to support supply chain initiatives. The resource will utilize their analytical skills to present process improvement initiatives to ensure the team achieves safety, delivery, quality and costs and objectives. Other key responsibilities include preparing monthly KPI information for the Global & Regional Business Review Meetings and supporting resources with data analytic requests. The position will work cross-functionally with other teams including IT, Finance, and Supply Chain Operations; building models and dashboards to understand current performance and trends. This position reports to the Global Logistics & Transportation Director.

• Analyze data, workflow, and processes, using numerical and statistical analyses, to make quantifiable cost benefit analysis and recommendations for improvement in subject areas not limited to in/outbound fill rate, inventory, supply/ replenishment planning, cost reduction, distribution and network optimization.
• Create measurement systems, reports, and forecasts to support cost, quality and delivery.
• Own key performance indicators and consistently publish results in a frequency defined by the business.
• Conduct advanced data analysis using Power BI, Excel, etc.
• Conceptualize and build centralized tools (including dashboards) that the Global Operations team can use to extract data/insights for daily business management in an automated manner
• Work with end users to gather KPI details, business logic and data requirements for new dashboards.
• Develop user training for dashboards and analytics platforms to increase adoption across the organization.
• Educate users on best practices for maintaining data feeding reports and act as liaison on them with appropriate IT resources if needed.
• Perform project management functions for new business implementations, leading departmental action items/tasks
• Identify and prioritize efforts to support and improve analytics within the supply chain.

• Proven ability to model disciplined execution following detailed standard work, maintaining a high level of attention to detail, driving efficiency, productivity, and personal accountability.
• Demonstrated innovative and technological mindset to ensure master data integrity and accuracy, seek out latest industry trends, road-map future technology and champion early adoption.
• Sound ability to make data driven and analytical decisions by identifying trends and opportunities, making problems visible, and utilizing financial acumen to justify investments and influence decisions.
• Proven success in challenging the status quo to drive continuous improvement promoting the use of root cause problem solving, valuing new ideas, inspiring others, and demonstrating effective use of change management principles.
• Proven success in building partnerships, influencing others, and communicating effectively both in verbal and written form, seeking diverse perspectives, and strong emotional intelligence to enable cross functional collaboration.

• Associates Degree or two years toward completion of bachelor's degree in Computer Science, Engineering, Mathematics Statistics, Logistics, Supply Chain Management, Business or other related discipline
• Level I: No experience required but have general understanding of Supply Chain Data and/or Operational Analytics
• Level II: 2 years of Supply Chain Data Analytics experience
• Level III: 4 years of Supply Chain Data Analytics experience

• Bachelor’s Degree in Computer Science, Engineering, Mathematics Statistics, Logistics, Supply Chain Management, Business or other related discipline
• Professional Certifications, CLTD, CPIM, or CSCP
• SAP & Power BI
• Project Management