P2B - Data Analyst Principal

Job Summary:

The IT Systems Engineer Senior is responsible for providing technical leadership in data analysis, data quality, and SAP data migration initiatives supporting enterprise-wide digital transformation programs. This role combines deep expertise in SAP S/4HANA data migration, governance, and quality with strong analytical capabilities to deliver accurate, reliable, and business-ready data across complex technology landscapes.

The successful candidate will lead end-to-end data migration activities, establish data quality standards, develop scalable migration processes, and partner with business and technical teams to ensure successful delivery of large-scale SAP transformation programs. This individual will also provide thought leadership in data analytics, governance, automation, and continuous improvement while influencing enterprise data management practices.

Key Responsibilities:

• Lead end-to-end SAP data migration activities across large-scale SAP S/4HANA transformation programs.
• Analyze legacy data sources and SAP data models to define and execute source-to-target mappings for master and transactional data.
• Perform data profiling, quality assessments, root cause analysis, and data validation to ensure completeness, consistency, and accuracy.
• Drive data cleansing, enrichment, standardization, remediation, and reconciliation activities across multiple business functions.
• Design, build, validate, and execute migration datasets using SAP migration tools including SAP BODS, BDC, and other approved migration technologies.
• Develop reusable migration frameworks, automation capabilities, data quality controls, governance standards, and best practices to support scalable delivery.
• Apply advanced analytical techniques to identify data quality, integrity, redundancy, and integration issues, recommending sustainable solutions across the data lifecycle.
• Create dashboards, reports, metrics, and visualizations that provide actionable insights into data quality, migration readiness, risks, and program health.
• Establish and monitor enterprise data quality metrics and support ongoing data governance initiatives and compliance requirements.
• Support ETL development, transformation, load execution, mock conversions, dress rehearsals, cutover planning, production deployment, and post-go-live stabilization.
• Collaborate closely with business stakeholders, SAP functional consultants, solution architects, technical teams, and program leadership to ensure successful migration outcomes.
• Provide technical leadership, coaching, and mentoring to data analysts and project teams while promoting best practices in data management and governance.
• Stay current with emerging technologies including AI-assisted migration capabilities, SAP Business AI, SAP Joule, cloud data platforms, and modern data engineering practices.

Originally posted on Himalayas