Data Analyst – Front Office - Finance Data

Schneider Electric•Nashville, TN

2d•Hybrid

About The Position

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.

Requirements

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
This role may require travel up to approximately 50–75% based on project phase and deployment needs.
A valid passport is required as this role may support cross-border collaboration and deployment activities.

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
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

Benefits

medical (with member reward points)
dental
vision
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)
military leave benefits