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SAP Data Analyst

Job in Carlisle, Warren County, Ohio, USA
Listing for: HireTalent
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below
Location: Carlisle

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
  • 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 SE 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
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