IT SAP Intern

GAF•Parsippany, NJ

About The Position

At GAF, we cover more than just buildings. We cover each other. Under this roof, you will have the tools and resources you need to begin, grow, and develop in your career. Under this roof, you will experience our incredible culture and be empowered to support your teammates, your customers and especially your community through collaboration. Under this roof, we define the future while leading the present through our commitment to continuous improvement and never being satisfied with the status quo. We are GAF. And under this roof, we protect what matters most. SAP Intern (SAP S/4HANA Transformation) Join our enterprise SAP S/4HANA Transformation team to gain end-to-end exposure to large-scale data migration, automated ETL development, and project coordination. In this role, you will work at the intersection of technical execution and agile project management—helping migrate legacy business systems to S/4HANA using Alteryx, AI innovations for data readiness, and foundational project tracking methods.

Requirements

  • Currently pursuing a Bachelor's or Master's degree in Information Systems, Computer Science, Data Analytics, Project Management, or a related field.
  • Hands-on experience or coursework with Alteryx Designer (or similar ETL tools) and SQL.
  • Exposure to AI/ML tools or Python for basic text processing, data cleansing, or pattern matching.
  • Fundamental knowledge of Project Management practices (Agile/Scrum basics, project schedules, task tracking).
  • Proficiency in MS Excel (VLOOKUPs, Pivot Tables) and project management platforms (Jira, Confluence, MS Project).
  • Strong organizational, communication, and task-prioritization skills.

Responsibilities

  • Execute data migration activities for key S/4HANA objects (e.g., Customer/Vendor Master, Finance, Material Master), including source-to-target data mapping, staging, and legacy extraction.
  • Build and maintain automated Alteryx ETL process flows to extract, transform, and map legacy datasets into S/4HANA-compliant load files and target schemas.
  • Apply AI-driven techniques and ML scripts to streamline data cleanup—identifying duplicate master records, standardizing unformatted fields, and resolving legacy data anomalies at scale.
  • Establish automated data quality checks within Alteryx workflows to ensure completeness, accuracy, referential integrity, and business rule validation prior to S/4HANA loading.
  • Assist project managers with task tracking, status updates, risk logs, and sprint management across migration milestones using tools like Jira or Azure DevOps.
  • Help facilitate cross-functional data validation sessions with business functional leads, documenting transformation logic and recording data cleansing sign-offs.
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