SAP Master Data Analyst: Optimize Material Planning

Hubbell Incorporated; Leeds (AL); On-site; USD 65,000 - 90,000; Full time

Job summary

Hubbell Incorporated is seeking a Master Data Analyst to maintain accurate material master data within SAP, supporting planning, purchasing, production, and inventory management. This on-site role in Leeds, AL requires meticulous data governance and cross-functional collaboration to align system data with actual operations.

The position emphasizes data accuracy, continuous improvement of master data standards, and proactive identification of data gaps impacting shortages or inefficient

Qualifications

• Bachelor’s degree in Supply Chain, Business, Data Analytics, Statistics, or related field.
• Strong analytical and problem-solving skills with the ability to interpret data and identify trends.
• Proficient in Microsoft Excel; experience with data analysis, modeling, or visualization tools preferred.

Responsibilities

• Maintain and validate material master data including lead times, lot sizes, min/max levels, and MRP parameters.
• Ensure SAP system data reflects real-world supplier and production capabilities.
• Identify and correct inaccurate or outdated master data inputs and audit data regularly.
• Collaborate with Planning, Purchasing, Operations, and Engineering to ensure data integrity.
• Provide data-based recommendations to improve inventory and planning performance.

Skills

Analytical skills

Cross-functional coordination

Attention to detail

Problem solving

Education

Bachelor’s degree in Supply Chain, Business, Data Analytics, Statistics, or related field

Tools

Microsoft Excel

SAP

Job description

Hubbell Incorporated is seeking a Master Data Analyst to maintain accurate material master data within SAP, supporting planning, purchasing, production, and inventory management. This on-site role in Leeds, AL requires meticulous data governance and cross-functional collaboration to align system data with actual operations.

The position emphasizes data accuracy, continuous improvement of master data standards, and proactive identification of data gaps impacting shortages or inefficient