S2P Data Analyst Lead — Master Data & Migration

Cummins Europe

Tees Valley

Remote

GBP 85,000 - 120,000

Full time

14 days+

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Job summary

Cummins Inc. is seeking a talented S2P Data Analyst Principal to drive data migration, governance, and quality across procurement and finance. The role operates within IT Data Analyst Principal Department and offers remote work flexibility within the UK/Europe.

You will lead data cleansing, profiling, and automation initiatives, partner with global teams, and ensure data readiness for large-scale transformation programs. Strong SAP, SQL/NoSQL, and BI skills are essential.

Qualifications

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.

Responsibilities

Lead Source to Pay data migration initiatives by analysing legacy systems and SAP data structures.
Improve supplier master data quality through data profiling, quality assessments, root cause analysis, and remediation activities.
Enable business readiness by gathering, cleansing, validating, and preparing supplier and procurement data for large-scale transformations.
Strengthen data integrity and governance by partnering with stakeholders and the S360 Master Data Management team.
Support end-to-end migration through data extraction, transformation, validation, reconciliation, and defect resolution.
Develop scalable data cleansing, automation, profiling, and quality-control frameworks.
Provide leadership by assessing data readiness and monitoring data quality metrics.
Collaborate across global teams with procurement, finance, SAP functional teams, master data specialists, and technical stakeholders.