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Business Data & Governance Analyst

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: Novelis Group
Full Time position
Listed on 2026-10-10
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence, Data Warehousing, Data Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position Overview

Novelis is one of the world leaders in aluminum recycling and rolling and a leading sustainable aluminum solutions provider. Driven by our purpose of shaping a sustainable world together, we work alongside our customers to provide innovative solutions to the aerospace, automotive, beverage packaging and specialty markets. Headquartered in Atlanta, Georgia, Novelis has approximately 13,000 employees in 32 operating facilities on 4 continents.

Responsibilities

& Qualifications

The Business Data & Governance Analyst serves as a bridge between Procurement stakeholders and technical data teams across Novelis regions and corporate functions. This role helps create a trusted procurement data foundation by ensuring data is clearly defined, governed, transformed, maintained, validated and fit for use across ERP systems, master data platforms, data lakes, business intelligence platforms and reporting environments.

The role combines procurement process knowledge, data stewardship, governance, master data expertise and business-to-technology translation. You will partner with business and technical teams to improve data quality, enable scalable data products and strengthen decision-making and process excellence.

Responsibilities Business Partnership & Requirements Translation
  • Partner with Global Non-Metal category teams, regional procurement teams, Finance, Supply Chain, IT, Digital, Data Engineering, Master Data Management and Governance teams.
  • Build a strong understanding of procurement operations, priorities, pain points and decision-making needs.
  • Translate business processes and governance expectations into clear data definitions, transformation rules, acceptance criteria and technical requirements.
  • Communicate technical data concepts, constraints and solution options in clear business language and coordinate business validation and user acceptance testing.
Data Governance, Stewardship & Master Data
  • Apply data governance standards and controls throughout the procurement data lifecycle, including ownership, definitions, classifications, lineage, quality standards and access.
  • Maintain critical datasets, attributes, mappings, hierarchies, reference data, metadata, business rules and transformation logic.
  • Use master data tools such as Informatica to review, validate, enrich, maintain and monitor procurement-related master data.
  • Partner with data owners, stewards, engineers and governance teams to establish clear accountability for critical data elements and resolve duplicate, incomplete, inconsistent or incorrectly classified data.
Data Quality, Transformation & Enterprise Platforms
  • Review procurement data from multiple sources to understand definitions, lineage, completeness, structure and intended business use.
  • Define and validate transformation logic and assess the upstream and downstream impacts of data changes across ERP systems, integrations, master data tools, data lakes and reporting platforms.
  • Partner with data engineers to validate source-to-target mappings, pipelines, data models, transformation logic and outputs.
  • Define and monitor data quality measures for completeness, accuracy, consistency, validity, timeliness and uniqueness.
  • Lead root cause analysis and coordinate cleansing, correction, validation, enrichment and remediation activities, including preventive controls that sustain data quality.
  • Support testing, validation, implementation and stabilization of ERP, procurement platform, integration and reporting enhancements.
Analytics Enablement & Continuous Improvement
  • Govern the definitions, data elements, hierarchies, mappings, measures, calculations, filters and quality expectations used in Procurement reporting and analytics.
  • Validate the integrity of source data and…
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