Titan 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 plays a critical role in Schneider Electric's S/4HANA deployment across manufacturing plants, ensuring all operational, supply chain, maintenance, and financial master data is accurately prepared, validated, migrated, and governed to enable a smooth cutover and stable post-go-live operations.

Working closely with functional domains such as Manufacturing, Plant Maintenance, Planning/Procurement, Logistics/Warehousing, and Finance/Costing, this role translates business requirements into clean, compliant, migration-ready data.

Success in this position requires strong analytical skills, exceptional attention to detail, and the ability to work independently in a fast-paced, high-impact deployment environment.

Key Responsibilities:



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


* Prepare, cleanse, transform, and validate master data across functional domains including Manufacturing (PP), Procurement, Planning/MRP, Plant Maintenance (PM), Warehouse/Logistics, Quality (QU), and Finance/Costing.


* Execute Upload Data Sheets (UDS), support mock loads, delta loads, and contribute to final cutover activities for S/4HANA deployments.


* Troubleshoot master data issues, collaborate with cross-functional SMEs, and resolve defects promptly.


* Analyze, monitor, and improve data quality...