Principal Data Analyst

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Cummins Inc.

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1919

⚡ Energy

🚗 Transport

🔧 Hardware

💰 $75M Grant on 2024-07

Energy • Transport • Hardware

Cummins Inc. is a global power technology leader that designs, manufactures, and distributes a variety of engines and power systems solutions. They offer products that range from diesel and natural gas engines to hybrid and electric power systems, as well as components like turbochargers, fuel systems, and emissions solutions. With a strong emphasis on innovation, Cummins aims to reduce emissions and improve fuel efficiency. The company is dedicated to helping industries navigate the transition to cleaner energy through integrated power solutions suitable for diverse applications such as on-highway, marine, mining, and construction. Additionally, Cummins provides services including remote monitoring, diagnostics, and aftermarket support, reinforcing its commitment to sustainability and customer service excellence.

📋 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.

🎯 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.

🏖️ Benefits

• Equal opportunity employer • Export control or regulatory licensing may be required where applicable.