Ie Data Analytics Technician (Reynosa)

Ie Data Analytics Technician (Reynosa)

15 oct
|
Corning
|
Reynosa

15 oct

Corning

Reynosa

Requisition Number: * Role Purpose Are you ready to turn manufacturing data into meaningful improvements?
Do you enjoy working with data, solving process discrepancies, and collaborating with teams across different manufacturing sites?
Join our Regional Industrial Engineering team and help strengthen the accuracy and reliability of the data that supports production planning, costing, capacity analysis, and operational decisions across the Americas.
What is your role?
As a IE Data Analytics Technician, you will support multiple manufacturing plants by maintaining, validating, and analyzing critical SAP master data.
You will work closely with Industrial Engineering, Operations, Supply Chain, Finance, Quality, and IT teams to ensure Bills of Materials (BOMs), routings, work centers, and related records accurately reflect manufacturing processes.
Key Responsibilities Review, validate, and maintain SAP master data, including BOMs, routings, work centers, and capacity-related records.
Identify and investigate missing, duplicated, inconsistent, or outdated data,



coordinating corrective actions with plant teams.
Compare SAP data with shop-floor processes, including material usage, process sequence, cycle times, labor content, scrap, and rework assumptions.
Create and maintain reports, dashboards, trackers, and documentation to monitor data quality, support audits, and ensure traceability of changes.
Experiences/Education - Required Technical degree, Associate degree, or equivalent experience in Industrial Engineering, Manufacturing Engineering, Data Analytics, Information Systems, or a related field.
A Bachelor's degree is preferred.
Two or more years of experience in manufacturing, industrial engineering, production planning, master data, or data analysis.
Working knowledge of SAP ERP; experience with SAP Production Planning (PP) master data is strongly preferred.
Practical understanding of manufacturing processes, BOM structures, routings, work centers, cycle times, labor

📌 Ie Data Analytics Technician (Reynosa)
🏢 Corning
📍 Reynosa

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