P2B - Data Analyst Principal

We are looking for a talented P2B - Data Analyst Principal to join our team in Systems/Information Technology for Cummins Darlington, County Durham, United Kingdom. **In this role, you will make an impact in the following ways:** + 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. **To be successful in this role you will need the following:** + 10+ years of experience in data management, data analysis, data quality, or SAP data migration. + Proven experience delivering SAP data migration workstreams within large-scale SAP S/4HANA transformation programs. + Strong understanding of SAP S/4HANA business processes, data structures, and enterprise data models. + Hands-on experience migrating both master and transactional data across domains such as Plan to Build (P2B), Material Master (MM), and Extended Warehouse Management (EWM). + Strong expertise in data extraction, transformation, cleansing, reconciliation, validation, and migration execution. + Experience with SAP BODS, BDC, ETL tools, SQL, NoSQL databases, and business intelligence platforms. + Strong knowledge of data governance, data quality frameworks, profiling techniques, metadata management, and data catalog solutions. + Experience developing migration rules, reusable frameworks, automation solutions, and governance standards. + Ability to independently manage complex technical challenges while influencing cross-functional stakeholders. + Strong communication, analytical, problem-solving, and project management skills. **Preferred Experience:** + Experience with SAP S/4HANA 2021 or later implementations and upgrade programs. + Knowledge of SAP Business AI capabilities and SAP Joule. + Experience leveraging AI-assisted tools for data profiling, mapping, migration acceleration, and quality assessment. + Experience with Agile software delivery methodologies. + Exposure to cloud-based data platforms, clustered computing, IoT technologies, and Big Data ecosystems. **Job** Systems/Information Technology **Organization** Cummins Inc. **Role Category** On-site with Flexibility **Job Type** Exempt - Experienced **ReqID** 2433250 **Relocation Package** No **100% On-Site** No