Manufacturing Data Analytics Technician - SAP Master Data

Corning, Inc.; Reynosa; Hybrid; MXN 420,000 - 640,000; Full time

Job summary

Corning, Inc. in Reynosa is seeking an IE Data Analytics Technician to support multiple plants by maintaining, validating, and analyzing SAP master data.

You will collaborate with Industrial Engineering, Operations, Supply Chain, Finance, Quality, and IT to ensure BOMs, routings, work centers, and related records reflect manufacturing processes. Responsibilities include reviewing SAP master data, identifying missing or inconsistent records, and creating dashboards and reports to monitor data

Qualifications

• Two+ years of experience in manufacturing, industrial engineering, production planning, master data, or data analysis.
• Strong Excel skills: formulas, filters, lookups, pivot tables, data validation.
• Working knowledge of SAP ERP; experience with SAP Production Planning master data is preferred.

Responsibilities

• Review, validate, and maintain SAP master data (BOMs, routings, work centers, capacity records).
• Identify missing, duplicated, or outdated data and coordinate corrective actions with plant teams.
• Compare SAP data with shop-floor processes, including material usage, cycle times, labor, and capacity concepts.
• Create and maintain reports, dashboards, trackers, and documentation to monitor data quality and support audits.

Skills

Analytical skills

Attention to detail

Prioritization

Data validation

Education

Technical degree / Associate in related field

Bachelor’s degree preferred

Tools

SAP ERP

SAP Production Planning (PP)

Job description

Corning, Inc. in Reynosa is seeking an IE Data Analytics Technician to support multiple plants by maintaining, validating, and analyzing SAP master data.

You will collaborate with Industrial Engineering, Operations, Supply Chain, Finance, Quality, and IT to ensure BOMs, routings, work centers, and related records reflect manufacturing processes. Responsibilities include reviewing SAP master data, identifying missing or inconsistent records, and creating dashboards and reports to monitor data