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Data Analyst - Front Office - Finance Data
- Nashville, Tennessee, United States
- Nashville, Tennessee, United States
À propos
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.
Job Overview Join the Titan Data Transformation team supporting Front Office (ART 1) initiatives focused on finance data. This role is responsible for enabling the successful migration and transformation of customer master data into SAP S/4 HANA, ensuring alignment across sales, distribution, and commercial processes.
Key Responsibilities
Working in an agile environment with business and technical team to identifying data migration requirements and dependencies.
Responsible for understanding and executing data mapping and data migrations with business and functional analysts.
Work with the business on data clean up.
Work with data conversion and data load teams to drive end-to-end migration activities.
Assist in the development of data quality and readiness checks and identify solution changes which could impact checks.
Trouble shoot data extraction, conversion, and load errors.
Validate accuracy of migrated data to expected outcomes.
Assist with the development of lifecycle processes.
Additional Responsibilities
Support migration and governance of customer master data across sales and distribution processes.
Partner with commercial and sales teams to define customer data requirements and resolve data gaps.
Validate customer hierarchies, account structures, and sales area data for S/4 readiness.
Identify and remediate inconsistencies impacting order processing and customer lifecycle data.
Primary Skills / Qualifications
Master data management and governance experience.
5+ years SE manufacturing process knowledge or working in a manufacturing environment which applies data governance principles.
3+ years of hands‑on experience working with data, data tables and ETL processes.
3+ years of hands‑on experience working in the SAP environment.
Excellent at solving problems and working through complex analytics.
Candidate is proactive, collaborative, and persistent.
Organized, detail oriented and rigorous.
Advanced Excel skills.
Intermediate SQL proficiency.
Travel Requirement This role may require travel up to approximately 50–75% based on project phase and deployment needs.
Passport Requirement A valid passport is required as this role may support cross‑border collaboration and deployment activities.
Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and ‘inclusion’ is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do.
Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status or any other legally protected characteristic or conduct.
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Compétences linguistiques
- English
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