Transform validated operational technology data into actionable insights using analytical models and dashboards.
Develop and test AI-enabled insights in Databricks with focus on business relevance and data quality.
Prepare datasets and create Power BI reports for manufacturing and operational use cases.
Validate analytical models, KPIs, and AI findings against source data and operational context.
What they're looking for
Currently enrolled in bachelor's or master's degree in Data Science, Computer Science, Engineering, Analytics, or related field.
Foundational Python and SQL experience for data preparation and analysis.
Ability to investigate data inconsistencies and communicate findings clearly.
Interest in manufacturing, operational technology, or industrial analytics.
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.
The OT Data Management team, located in Kennesaw, Georgia, is seeking an Analytics & Data Consumption Coop. This role will help transform validated OT data into actionable insights through analytical models, standardized KPIs, operational benchmarking, dashboards, and scalable data products. The coop's primary project will focus on developing and evaluating AI-enabled insights on top of trusted OT datasets in Databricks, with attention to business relevance, data quality, traceability, and clear communication of results.
Responsibilities
Support the development, testing, and validation of AI-enabled insights using validated OT data in Databricks.
Prepare and curate analysis-ready datasets for operational and manufacturing use cases.
Develop and validate analytical models, business rules, and standardized KPI calculations.
Evaluate AI-generated findings against source data, established KPIs, and operational context to improve reliability and usefulness.
Create or enhance Power BI reports, dashboards, and other data-consumption solutions for business stakeholders.
Perform data quality assessments and document issues, assumptions, validation results, and recommended actions.
Support cross-plant benchmarking and operational performance analytics.
Contribute Python and Databricks development under the guidance of OT Data Management team members.
Document analytical methodologies, dataset lineage, model logic, and user guidance to promote reuse and adoption.
Support value-tracking activities by connecting analytical outputs to measurable operational opportunities.
Minimum qualifications
Currently enrolled in an accredited bachelor's or master's degree program in Data Science, Computer Science, Engineering, Analytics, Information Systems, Statistics, or a related field.
Foundational experience with Python and SQL for data preparation, analysis, or model development.
Ability to analyze data, investigate inconsistencies, and communicate findings clearly.
Interest in manufacturing, operational technology data, industrial analytics, or digital transformation.
Ability to work collaboratively, manage assigned tasks, and document work in a structured and reproducible manner.
Preferred qualifications
Experience with Databricks, Spark, Delta Lake, or cloud-based data platforms.
Experience developing Power BI reports, semantic models, or data visualizations.
Exposure to machine learning, generative AI, natural-language interfaces, or AI-assisted analytics.
Familiarity with data pipelines, data quality testing, KPI validation, or analytical model testing.
Experience with Git or other version-control and collaborative development practices.
Knowledge of manufacturing processes, time-series data, or operational performance metrics.
Strong written communication skills and an interest in translating technical analysis into business insights.
Location Profile
Novelis' Global Research and Technology Center located in Kennesaw Georgia within the greater Atlanta metropolitan area is a cutting-edge full-service research and technology hub that employs approximately 200 people including world-class engineers metallurgists chemists scientists technologists and technicians. The facility includes state-of-the-art lab equipment and a diverse mix of product pilot lines that bring innovative solutions to customers in the automotive beverage can and specialty markets. Kennesaw provides a diverse and family-friendly place to live with countless museums cultural opportunities and educational institutions. Novelis is committed to the Kennesaw community and supports a number of local charitable organizations including Habitat for Humanity as well as FIRST Robotics aimed at encouraging young people to pursue the Science Technology Engineering and Mathematics (STEM) fields in order to spur the next generation of scientists and innovators.
Novelis recognizes its talented and diverse workforce as a key competitive advantage. Novelis provides equal employment opportunities to all employees and applicants. All terms and conditions of employment at Novelis including recruiting hiring placement promotion termination layoffs recalls transfers leaves of absence compensation and training are 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 provincial or local laws.
From Novelis's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
