About The Role

The Analyst - Data Governance is responsible for ensuring supplier data is accurate, complete, and compliant across the organization. This role manages supplier onboarding and maintenance activities, validates supplier information and documentation, supports data quality initiatives, and enforces governance standards that reduce risk and improve operational efficiency. The analyst partners with business stakeholders to resolve data issues, maintain master data integrity, and support reliable business operations and decision-making.

Responsibilities

Knowledge of enterprise business systems and data management applications, including Microsoft Excel, Oracle ERP, Informatica MDM, Power BI, and related technologies. Ability to navigate multiple systems, analyze data across platforms, perform data validation and troubleshooting, develop reports, and support supplier onboarding, maintenance, compliance, and data governance activities.
Manage supplier master data creation and maintenance, ensuring requests are processed accurately, timely, and in compliance with established data standards.
Monitor and improve data quality by identifying, analyzing, and resolving inaccurate, incomplete, duplicate, or inconsistent supplier records.
Perform data audits, analysis, and reporting to identify exceptions, trends, and data integrity issues, partnering with business stakeholders to implement corrective actions.
Support supplier risk and fraud prevention efforts through validation controls, banking change reviews, and supplier information verification.
Collaborate with cross-functional teams and suppliers to support onboarding, maintenance, compliance requirements, process improvements, and user education on data governance procedures.
Identifies master data exceptions, and further analyze and resolve exceptions with assistance of master data steward.
Conducts data quality audits and compiles issues and impacts for review and action with business.
Performs basic statistical and relational analysis of large data sets to identify and correct inconsistencies.
Executes data cleansing, data enrichment and testing cycles for ERP upgrades and projects.
Participates in governance projects to identify and implement process improvements and increase efficiency.
Enforces data standards to achieve continued data cleanliness.

Qualifications

Bachelor’s Degree is required
Minimum of 2-3 years of experience in data management, master data, supplier operations, or a related business function; two or more years preferred.
Experience leveraging AI-enabled tools and technology to improve data quality, reporting, and operational efficiency.
Hold 2+ years of experience with data handling and manipulation, Master Data Management (MDM) processes, reporting and dashboard development, data analysis, and process automation using tools such as Excel, Power BI, Power Automate, or similar technologies to improve data quality, operational efficiency, and business reporting.
Able to work independently as well as in a team environment.
Strong written and verbal communication skills, with the ability to collaborate effectively across functions and organizational levels.
Ability to prioritize tasks and demonstrate a willingness to accept new challenges.
Willingness to accommodate temporary working hour changes as required by workflow and deadlines.
Knowledge of project planning and LEAN process improvement preferred
Ability to effectively assess urgency, prioritize competing workloads, and manage multiple priorities simultaneously while maintaining a high level of accuracy, attention to detail, and sound decision-making in a dynamic environment.
Analyze supplier and operational data to identify trends, root causes, and opportunities to improve data quality and process efficiency.

#LM-P1