Master Data Analyst - Back Office

For this U.S.

based position, the expected compensation range is $101,600 - $152,400 per year, which includes base pay and short-term incentive.

The compensation range for this full-time position applies to candidates located within the United States.

Our salary ranges are determined by reviewing roles of similar responsibility and level.

Within the salary range, individual pay is determined by several factors including performance, knowledge, job-related skills, experience, and relevant education or training.

Schneider Electric also offers a comprehensive benefits package to support our employees, inclusive of medical (with member reward points), dental, vision, and basic life insurance, Benefit Bucks (credits to apply towards your benefits) flexible work arrangements, paid family leaves, 401(k) + match, well-being and recognition (including service anniversary) programs, 12 holidays per year, 15 days of paid time off per year (pro-rated in the first year of employment based on start date), opportunity to purchase company stock (eligibility depends on start date), and military leave benefits.

You must submit an online application to be considered for the position.

The Company will accept applications on an ongoing basis until the position is filled.

If you believe this job posting is not compliant with applicable state pay transparency laws in the U.S., please notify the Company as soon as possible upon discovery by completing this form Job Posting Compliance Form.

The Data Analyst - Digital Transformation role is a key contributor in deploying S/4HANA across Schneider Electric manufacturing plants.

This position ensures that all operational, supply chain, maintenance, and financial master data is prepared, validated, migrated, and governed with high accuracy to support successful plant cutover and post-go-live stability.

The analyst will work closely with functional domains (Manufacturing, Plant Maintenance, Planning/Procurement, Logistics/Warehousing, and Finance/Costing) to translate business requirements into clean, compliant, migration-ready data.

This role requires strong analytical skills, deep attention to detail, and the ability to take initiative with minimal supervision in a fast-paced deployment environment.

Key Responsibilities


* Collaborate with business and technical teams in an agile environment to identify key data objects and define business rules for accurate data migration and lifecycle processes.


* Prepare, cleanse, validate, and manage master data across manufacturing (PP), procurement, planning/MRP, plant maintenance (PM), warehouse/logistics, quality (QU), and finance/costing domains.


* Execute Upload Data Sheets (UDS), support mock loads, delta loads, troubleshoot defects, and participate in final cutover activities.


* Analyze and improve data quality using Excel, structured validation rules, and problem-solving techniques.


* Communicate risks, dependencies, and timelines effectively to ...