P2B - Data Analyst Principal

Cummins Inc.
County Durham, UK
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Data Analysis Application Frameworks Big Data Profiling Data Validation Data Cleansing Information Engineering Data Governance Extract Transform Load (ETL) Data Mining
+15 more
Data Profiling Data Structures Meta-Data Management NoSQL Cloud Services SAP (Applications) SAP Business Suiteing SAP NetWeaver Data Management Software Deployment SQL Databases Transaction Data Enterprise Data Management Cloud Platform System SAP S/4HANA Data Management

Job description

  • 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.

Requirements

  • 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.

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