About the Role We are excited to be adding a Master Data Analyst to the Ariat team. As a Global Master Data Analyst within the Master Data team, you will be responsible for maintaining, validating, and optimizing master data across complex, integrated systems to support critical business functions and enterprise-wide data governance. This includes overseeing key processes and projects related to customer, vendor, material, pricing and discounts, costing, and EDI data domains. You will serve as a subject matter expert in one or more of these areas, ensuring the accuracy, consistency, and integrity of master data across ERP platforms. You’ll Make a Difference by Driving Master Data Management & Quality: Creating, updating, and managing master data records across ERP and related systems with a focus on accuracy, completeness, and consistency. Performing routine data validations, audits, and cleansing activities to uphold data quality standards. Proactively troubleshooting data issues, analyzing root causes of discrepancies, and implementing corrective actions to ensure the reliability and timeliness of business-critical information. Ensuring Data Governance & Compliance: Applying and enforcing global master data standards, naming conventions, and lifecycle controls in alignment with internal governance policies and external compliance requirements. Optimizing Processes & Documentation: Documenting and maintaining standard operating procedures (SOPs) for data entry, validation, and quality assurance. Recommending and implementing improvements to master data processes, tools, and workflows. Strengthening Cross-Functional Collaboration: Partnering with business units, IT, and data stewards to align master data with organizational needs. Acting as a key point of contact for master data-related inquiries and initiatives, supporting seasonal and project-based requirements. Supporting System & Reporting Excellence: Supporting system configuration activities, including Master Data Management applications, Winshuttle scripts, and Reference Tables. Participating in testing (e.g., UAT), change management, and system enhancements. Generating reports and dashboards to monitor and communicate data quality metrics and performance indicators. Advancing Analysis & Continuous Improvement: Leveraging data analytics and quality assessment routines to evaluate data across systems for accuracy, completeness, consistency, conformity, and validity. Providing recommendations to improve data integrity and support business initiatives and operational efficiency.
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Career Level
Mid Level
Number of Employees
501-1,000 employees