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
