Business Data & Governance Analyst

About Novelis

Role overview

Business partnership and requirements

• Partner with global non-metal category teams, regional procurement, Finance, Supply Chain, IT, Digital, data engineering, master data, and governance teams.
• Translate business processes and governance expectations into definitions, transformation rules, acceptance criteria, and technical requirements.
• Explain technical data concepts in business language and coordinate business validation and user acceptance testing.

Governance, stewardship, and master data

• Apply governance controls across data ownership, definitions, classifications, lineage, quality standards, and access.
• Maintain datasets, attributes, mappings, hierarchies, reference data, metadata, business rules, and transformation logic.
• Use tools such as Informatica to review, validate, enrich, maintain, and monitor procurement master data.
• Establish accountability for critical data elements and resolve duplicate, incomplete, inconsistent, or misclassified data.

Data quality and enterprise platforms

• Review procurement data sources for definitions, lineage, completeness, structure, and intended use.
• Validate transformation logic, source-to-target mappings, pipelines, data models, outputs, and upstream and downstream impacts.
• Monitor data quality measures and coordinate root-cause analysis, cleansing, correction, enrichment, and remediation.
• Support testing, implementation, and stabilization of ERP, procurement platform, integration, and reporting enhancements.

Analytics and improvement

• Govern definitions, mappings, measures, calculations, filters, and quality expectations used in procurement reporting and analytics.
• Validate source data and transformation logic before certified data products are released or changed.
• Identify process inefficiencies, control gaps, quality risks, and opportunities for standardization or automation.
• Contribute to global procurement transformation, process mapping, performance measurement, and continuous improvement.

Minimum qualifications

• Bachelor's degree in Business Analytics, Data Management, Information Systems, Supply Chain, Finance, Engineering, Economics, Statistics, Computer Science, or a related field.
• Five to eight years of relevant experience in business data analysis, stewardship, master data, governance, procurement analytics, BI, ERP support, or process excellence.
• Experience working across business and technical teams in a global, matrixed organization.
• Demonstrated experience identifying data quality issues, translating requirements, validating technical solutions, and supporting remediation.
• Strong functional understanding of ERP systems.