SAP Data Analyst (Hybrid - W2 Only)

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Performix Business Services, LLC, is seeking the following. Apply via Dice today! • Job Title: SAP Data Analyst • Contract: 6 months • Schedule: Hybrid Nashville Hub • The Data Analysts are focused on transforming, enriching, and migrating data from legacy source systems to SAP as a key value driver. • If you have a background in Plant master data and want to grow your knowledge, this could be an opportunity for you! Our Data domains include procurement, planning, warehousing, logistics, manufacturing, quality, and plant maintenance. Key responsibilities include: • Working in an agile environment with the business and technical team to identify 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 cleanup • 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 that could impact checks. • Troubleshoot data extraction, conversion, and load errors • Validate the accuracy of migrated data and deliver the expected outcomes on time • Assist with the development of lifecycle processes Primary Skills/Qualifications: • Bachelor s degree in engineering, Supply Chain Management, Logistics, Business Management, or related field. • Master data management, governance, or data migration experience • 5+ years Client manufacturing process knowledge or working in a manufacturing environment that applies data governance principles • 3+ years of hands-on experience working with data, data tables, and ETL processes (Extract, Transform, and Load). • 3+ years of hands-on experience working in the SAP environment • Self-starter with the ability to work independently with little supervision. • Ability to cooperate and work in a multicultural environment. • Excellent at solving problems and working through complex analytics • Strong analytical • Proactive, collaborative, and persistent • Organized, detail-oriented, and rigorous • Advanced Excel skills • Intermediate SQL proficiency.