TE Connectivity
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Responsibilities Collect, analyze, and visualize supply chain performance data (inventory turns, delivery performance, lead times, capacity utilization, material availability, etc.) to support operational and strategic decisions Partner with Supply Chain, Operations, and IT teams to translate business needs into data models and metrics that measure process health and efficiency Develop and maintain self-service dashboards and KPIs that enable users to monitor key performance indicators Perform data validation, reconciliation, and root-cause analysis for discrepancies in system reports, ensuring accuracy across ERP and BI tools Create and maintain data pipelines and queries (e.g., via SQL, Power Query, or SAP extractors) to automate recurring reports and reduce manual effort Support data quality initiatives by identifying errors, proposing corrective actions, and coordinating with data owners to improve master data governance Provide ad-hoc analysis and scenario modeling to evaluate changes in demand, supply, or logistics assumptions Assist in process documentation and help standardize analytic procedures, data definitions, and reporting templates Collaborate on continuous improvement initiatives, using data to identify bottlenecks and recommend automation or process optimization opportunities Participate in testing and validation of system updates or new data tools to ensure alignment with reporting and analytics need Job Requirements 5 years of experience in data analysis, business intelligence, or ERP-driven supply chain processes (planning, procurement, logistics, or manufacturing). Hands-on experience with data visualization tools (Power BI or Tableau) and data transformation tools (Power Query, Alteryx, or Python for analytics). Working knowledge of ERP reporting and data structures, preferably in SAP Ability to extract and interpret data using SQL, Excel (PowerPivot, PowerQuery), or similar tools. Understanding of supply chain metrics (inventory accuracy, on-time delivery, demand forecast accuracy, supplier performance, etc.) and how to measure them. Familiarity with data governance principles, master data management, and reporting hierarchies. Strong analytical and critical thinking skills — capable of turning data into clear, actionable insights. Detail-oriented, organized, and comfortable managing multiple priorities. Clear communicator able to present findings to both technical and business stakeholders. Values: Integrity, Accountability, Teamwork, Innovation, Inclusion Competencies
TE Connectivity
