S2P Data Analyst Principal

We are looking for a talented S2P Data Analyst Principal to join our team specialising in Systems/Information Technology for our IT Data Analyst Principal Department. This role can be based anywhere in the UK or Europe within a commutable distance of a Cummins site.

In this role, you will make an impact in the following ways:

• Drive successful Source to Pay (S2P) data migration initiatives by analysing legacy systems and SAP data structures to ensure accurate and seamless supplier data transitions.
• Improve supplier master data quality through data profiling, quality assessments, root cause analysis, and remediation activities across procurement, finance, and business functions.
• Enable business readiness by gathering, cleansing, validating, and preparing supplier and procurement data to support large scale transformation and deployment activities.
• Strengthen data integrity and governance by partnering with business stakeholders and the S360 Master Data Management team to establish and maintain high-quality supplier master data.
• Support end to end migration execution through data extraction, transformation, validation, reconciliation, and defect resolution across Source to Pay processes.
• Enhance data management processes by developing scalable data cleansing, automation, profiling, and quality control frameworks that improve efficiency and consistency.
• Provide leadership and visibility by assessing data readiness, monitoring data quality metrics, identifying risks, and driving issue resolution throughout the migration lifecycle.
• Collaborate across global teams by working closely with procurement, finance, SAP functional teams, master data specialists, and technical stakeholders to support successful transformation outcomes.

To be successful in this role, you will need the following:

• Strong and effective communication skills to engage stakeholders and translate complex data quality and migration challenges into clear, actionable solutions.
• A customer-focused mindset and ability to build strong relationships across procurement, finance, business, and technology teams.
• Adaptability and resilience to manage ambiguity, changing priorities, and multiple stakeholder requirements within large transformation programmes.
• Strong collaboration, analytical, and problem-solving skills to identify data issues and drive sustainable improvements across Source to Pay processes.

Education/Experience:

• Bachelor's degree in a relevant technical discipline or equivalent practical experience.
• Significant experience in data analysis, data quality, data governance, master data management, or SAP data migration.
• Strong knowledge of Source to Pay business processes, supplier master data, data profiling, and data management tools and technologies.
• Experience working with SQL and NoSQL data sources, business intelligence platforms, and data quality solutions.
• Experience supporting enterprise transformation, ERP implementation, or large-scale data migration programs.
• Understanding of SAP master data structures and data governance principles; experience with supplier master data is highly desirable.
• Exposure to Agile software development and modern data management practices.

• Familiarity with data cataloguing, data governance frameworks, automation tools, and cloud-based data platforms is preferred.

   

This position may require licensing for compliance with export controls or sanctions regulations. 

Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.