IT Data Analyst 3

IT Data Analyst IIIWork Authorization: USCs and GCs Location: Corning, NY - 100% onsite Duration: 12 Months Schedule: Mon - Fri 8:00 am - 5:00 pmPosition 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.Key Responsibilities:Validate that RTP data is accurately transferred during ERP deployment activitiesPartner with the ERP transformation data team, business leads, and users to confirm data requirements, validation criteria, priorities, and status updatesCollect data from primary and secondary sources and maintain relevant databases, files, and data systems that support validation and analysis activitiesDevelop and implement data collection processes, validation methods, and other strategies that improve data quality, consistency, and efficiencyFilter, cleanse, and review data using reports, reconciliations, and performance indicators to identify issues and improve reliabilityPerform data profiling to identify, investigate, and understand anomalies, gaps, inconsistencies, and data transfer risksMine and analyze large data sets to draw valid conclusions and support deployment and business decision-makingUse statistical and analytical tools to interpret data sets, with attention to trends, patterns, and insights that may support diagnostic or predictive analytics effortsDevelop dashboards, graphs, visualizations, exception reporting, and reconciliation tools that enable quicker and more effective data analysisApply AI-enabled approaches, where appropriate, to support faster issue identification, pattern detection, and insight generation across validation activitiesTranslate validation and analytical findings into clear updates, recommendations, and reporting for management and stakeholdersProactively identify trends, risks, and business improvement opportunities and make recommendations to stakeholdersRequired Qualifications:Education: Bachelor's degree in IT, Science, or Business5 year's experience in the following; Experience in data validation, data analysis, ERP data support, or transformation-related rolesStrong ability to analyze complex data and identify inconsistencies, anomalies, gaps, and quality issuesExperience supporting ERP deployments, data migration, or system implementation activitiesUnderstanding of RTP processes and related business dataExperience developing dashboards, reports, validation tools, or analytical methods to improve data review and decision-makingExperience working with data profiling, cleansing, reconciliation, and trend analysisAbility to work effectively with technical teams, business stakeholders, and managementStrong problem-solving skills, attention to detail, and follow-throughStrong written and verbal communication skillsPreferred Qualifications:Experience with SAP S/4HANA or similar ERP platformsExperience supporting RTP data validation, migration, or deployment readiness activitiesFamiliarity with enterprise data quality, statistical analysis, reconciliation, or validation methodsExperience using AI, automation, or advanced analytics to improve data analysis processes (Databricks)Experience working in cross-functional global transformation programsWhy 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 common SAP S/4HANA platform.