SAP S4 HANA Data Migration Analyst

DivIHN Integration Inc; United States; On-site; USD 90,000 - 130,000; Full time

Job summary

DivIHN Integration Inc is seeking a Data Validation & Analytics Expert to support the ERP transformation, validating RTP data transfers during deployments and building dashboards, reporting, and AI-enabled approaches to improve deployment readiness and business decision-making.

You will collaborate with the ERP transformation data team and stakeholders to ensure data quality, resolve anomalies, and provide clear updates and recommendations to management.

Qualifications

• Bachelor's degree in IT, Science, or Business is required.
• 5+ years' experience in data validation, data analysis, ERP data support, or transformation-related roles.
• Strong ability to analyze complex data and identify inconsistencies, anomalies, gaps, and quality issues.
• Experience supporting ERP deployments, data migration, or system implementation activities.
• Understanding of RTP processes and related business data.
• Experience developing dashboards, reports, validation tools, or analytical methods to improve data review and decision-making.
• Experience working with data profiling, cleansing, reconciliation, and trend analysis.
• Ability to work effectively with technical teams, business stakeholders, and management.
• Strong problem-solving skills, attention to detail, and follow-through.
• Strong written and verbal communication skills.

Responsibilities

• Validate that RTP data is accurately transferred during ERP deployment activities.
• Partner with the ERP transformation data team, business leads, and users to confirm data requirements, validation criteria, priorities, and status updates.
• Collect data from primary and secondary sources and maintain relevant databases, files, and data systems that support validation and analysis activities.
• Develop and implement data collection processes, validation methods, and other strategies that improve data quality, consistency, and efficiency.
• Filter, cleanse, and review data using reports, reconciliations, and performance indicators to identify issues and improve reliability.
• Perform data profiling to identify, investigate, and understand anomalies, gaps, inconsistencies, and data transfer risks.
• Mine and analyze large data sets to draw valid conclusions and support deployment and business decision-making.
• Use statistical and analytical tools to interpret data sets, with attention to trends, patterns, and insights that may support diagnostic or predictive analytics efforts.
• Develop dashboards, graphs, visualizations, exception reporting, and reconciliation tools that enable quicker and more effective data analysis.
• Apply AI-enabled approaches, where appropriate, to support faster issue identification, pattern detection, and insight generation across validation activities.
• Translate validation and analytical findings into clear updates, recommendations, and reporting for management and stakeholders.
• Proactively identify trends, risks, and business improvement opportunities and make recommendations to stakeholders.
• Contribute to stronger data quality, lower deployment risk, and more reliable RTP process outcomes across the ERP transformation.

Skills

Data validation

Data analysis

ERP data support

Dashboards & reports

AI-enabled analytics

Data profiling

Education

Bachelor's degree in IT, Science, or Business

Tools

SAP S/4HANA

Databricks

Job description

Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered.

Job Description:

Position Purpose

Client is consolidating 29 ERP platforms around the world to unite the organization under one common ERP solution, SAP S/4HANA Private. The Data Validation & Analytics Expert supports this transformation by validating that the correct data is transferred during ERP deployments for Req to Pay (RTP) and by improving how deployment data is analyzed, interpreted, and reported.

This role works closely with the ERP transformation data team, business leads, and key stakeholders to verify data accuracy, completeness, and alignment across deployment activities. The role combines hands‑on data validation, profiling, cleansing, and analysis with the development of dashboards, reporting, and practical AI-enabled approaches that improve deployment readiness and business decision-making.

Why This Role Matters

This role helps protect deployment quality by ensuring RTP data is transferred accurately and reliably during ERP go‑lives while improving how quickly and effectively deployment data can be analyzed and used. Success in this role will reduce risk, improve business confidence in deployment data, and support a smoother, more insight‑driven transition to Client’s common SAP S/4HANA platform.

Key Responsibilities

• Validate that RTP data is accurately transferred during ERP deployment activities
• Partner with the ERP transformation data team, business leads, and users to confirm data requirements, validation criteria, priorities, and status updates
• Collect data from primary and secondary sources and maintain relevant databases, files, and data systems that support validation and analysis activities
• Develop and implement data collection processes, validation methods, and other strategies that improve data quality, consistency, and efficiency
• Filter, cleanse, and review data using reports, reconciliations, and performance indicators to identify issues and improve reliability
• Perform data profiling to identify, investigate, and understand anomalies, gaps, inconsistencies, and data transfer risks
• Mine and analyze large data sets to draw valid conclusions and support deployment and business decision-making
• Use statistical and analytical tools to interpret data sets, with attention to trends, patterns, and insights that may support diagnostic or predictive analytics efforts
• Develop dashboards, graphs, visualizations, exception reporting, and reconciliation tools that enable quicker and more effective data analysis
• Apply AI-enabled approaches, where appropriate, to support faster issue identification, pattern detection, and insight generation across validation activities
• Translate validation and analytical findings into clear updates, recommendations, and reporting for management and stakeholders
• Proactively identify trends, risks, and business improvement opportunities and make recommendations to stakeholders
• Contribute to stronger data quality, lower deployment risk, and more reliable RTP process outcomes across the ERP transformation

Required Qualifications

• Education: Bachelor's degree in IT, Science, or Business
• 5+ year's experience in the following;
• Experience in data validation, data analysis, ERP data support, or transformation-related roles
• Strong ability to analyze complex data and identify inconsistencies, anomalies, gaps, and quality issues
• Experience supporting ERP deployments, data migration, or system implementation activities
• Understanding of RTP processes and related business data
• Experience developing dashboards, reports, validation tools, or analytical methods to improve data review and decision-making
• Experience working with data profiling, cleansing, reconciliation, and trend analysis
• Ability to work effectively with technical teams, business stakeholders, and management
• Strong problem-solving skills, attention to detail, and follow-through
• Strong written and verbal communication skills

Preferred Qualifications

• Experience with SAP S/4HANA or similar ERP platforms
• Experience supporting RTP data validation, migration, or deployment readiness activities
• Familiarity with enterprise data quality, statistical analysis, reconciliation, or validation methods
• Experience using AI, automation, or advanced analytics to improve data analysis processes (Databricks)
• Experience working in cross-functional global transformation programs