SAP Data Migration Analyst (Remote)

Corning, New York (United States) DivIHN (pronounced "divine") is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent. Visit us at to learn more and view our open positions. Please apply or call one of us to learn more For further inquiries regarding the following opportunity, please contact one of our Talent Specialist, Abdul at -1295 or Tenishbabu at -1292 Title: SAP Data Migration Analyst(Remote) Location: Remote (Time zones preferred: EST & CST) Duration: 12 Months Schedule: Monday - Friday 8 AM - 5 PM, but needs to be flexible for possible international support. 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 Experience with SAP S/4HANA data mappingor similar ERP platforms RTP experience is good or someone good in PTP also fine. Experience in Excel and Power BI is required. Needs to be flexible to work early or Late hours. Preferred Qualifications 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 About us: DivIHN, the 'IT Asset Performance Services' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration. DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.