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.
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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 xhqgsiq 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
Data Analyst in corning at Unknown Company
This position is listed as full time and onsite.