Supply Chain Analyst - Data Engineering TE Connectivity

About TE Connectivity

Job Description

Foster effective collaboration with diverse teams across various functions and regions. Collect and analyze large datasets to identify patterns, trends, and insights that will inform business strategies and decision-making processes. Develop and maintain reports, dashboards, and other tools to monitor and track supply chain performance. Assist in the development and implementation of supply chain strategies that align with business objectives. Identify and suggest solutions to potential supply chain risks and challenges. Build data models and perform data mining to discover new opportunities and areas of improvement. Conduct data quality checks to ensure accuracy, completeness, and consistency of data sets. What your background should look like: 5+ years of hands-on experience in Data Engineering within the supply chain domain. Proficiency in Azure Data Engineering technologies, including but not limited to: ETL processes Azure Data Warehouse (DW) Azure Databricks MS SQL Strong expertise in developing and maintaining scalable data pipelines, data models, and integrations to support analytics and decision-making Experience in optimizing data workflows for performance, scalability, and reliability. Competencies Values: Integrity, Accountability, Inclusion, Innovation, Teamwork ABOUT TE CONNECTIVITY TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. Our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next-generation transportation, energy networks, automated factories, data centers, medical technology and more. With more than 85,000 employees, including 9,000 engineers, working alongside customers in approximately 130 countries, TE ensures that EVERY CONNECTION COUNTS.,