Staffing - IT Data Analyst III

Max Billrate; ***

100% onsite

M-Fri 8-5pm

Position Purpose

Corning 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 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

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 Corning's common SAP S/4HANA platform.

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