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Data Analyst Front Office - Finance Data
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Schneider Electric
Raleigh, NC (In Person)
$127,000 Salary, Full-Time
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Job Description
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. 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 include:
- 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/.