What are the responsibilities and job description for the Staffing - IT Data Analyst III position at TALENT Software Services?
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.
Please add description here.
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.
Please add description here.
Salary : $45 - $50