Overview
Client is transforming its global ERP landscape by consolidating multiple ERP platforms into a common SAP S/4HANA Private environment. The Data Validation & Analytics Expert supports this initiative by validating Req to Pay (RTP) data transfers during ERP deployments and improving how deployment data is analyzed, interpreted, and reported.
This role partners with ERP transformation teams, business leads, and stakeholders to ensure data accuracy, completeness, and alignment across deployment activities. The position combines hands-on data validation, profiling, cleansing, and analysis with dashboard development, reporting, and AI-enabled approaches to support deployment readiness and business decision-making.
Core Responsibilities
• Validate that RTP data is accurately transferred during ERP deployment activities.
• Partner with ERP transformation data teams, business leads, and users to define data requirements, validation criteria, priorities, and status updates.
• Collect data from primary and secondary sources and maintain databases, files, and data systems that support validation and analysis activities.
• Develop and implement data collection processes, validation methods, and strategies that improve data quality, consistency, and efficiency.
• Filter, cleanse, and review data through 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 datasets to support deployment activities and business decision-making.
• Use statistical and analytical tools to identify trends, patterns, and insights that support diagnostic and predictive analytics efforts.
• Develop dashboards, visualizations, exception reporting, and reconciliation tools that enable more effective data analysis.
• Apply AI-enabled approaches to support faster issue identification, pattern detection, and insight generation across validation activities.
• Translate validation and analytical findings into clear recommendations, status updates, and reporting for management and stakeholders.
• Proactively identify trends, risks, and business improvement opportunities and provide recommendations to stakeholders.
• Support stronger data quality, lower deployment risk, and more reliable RTP process outcomes across the ERP transformation.
Essential Qualifications, Skills, and Technologies
• Bachelor's degree in Information Technology, Science, or Business.
• 5+ years of 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 data 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 that improve data review and decision-making.
• Experience with data profiling, data 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 Skills or Experience
• 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 methodologies.
• Experience using AI, automation, or advanced analytics tools such as Databricks to improve data analysis processes.
• Experience working within cross-functional global transformation programs.
Nesco Resource offers a comprehensive benefits package for our associates, which includes a MEC (Minimum Essential Coverage) plan that encompasses Medical, Vision, Dental, 401K, and EAP (Employee Assistance Program) services.
Nesco Resource provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
