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C
Cummins
P2B - Data Analyst Principal
Career Insights for Data Analyst
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Based on Illinois data
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What they do
A Data Analyst develops computer programs to analyze large customer information databases for companies and organizations. Analyzes data to identify patterns and provide information relevant to a particular business, industry or field; analysis may be used for marketing, or to detect fraud in financial transactions, or for research. Develops computer programs to protect confidential customer information.
$79,826 / year median in Illinois
+13% projected growth
Job Description
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
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
Strong understanding of
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
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.
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 TechnologyOrganization Cummins Inc.
Role Category On-site with FlexibilityJob Type Exempt - ExperiencedReqID 2433250Relocation Package No100% On-Site No
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 withSAP 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 TechnologyOrganization Cummins Inc.
Role Category On-site with FlexibilityJob Type Exempt - ExperiencedReqID 2433250Relocation Package No100% On-Site No