Business Data Engineer - MES/ERP

Requirements:

Nucor Business Technology (NBT) is seeking qualified applicants for the position of Business Data Engineer - MES/ERP.

Candidate must have:

• Bachelors degree in Computer Science, Information Technology, or Business Analytics and 2 years of experience in performing analytics on large, complex operational, financial, production, and supply chain datasets to identify actionable insights data modeling solutions. 
• Must have experience in: Analyzing, manipulating, and/or processing large sets of data using statistical analysis software and BI tools (i.e: SQL Server and AzureSynapse).
• Creating executive-level dashboards using visualization tools (PowerBI).
• Writing SQL scripts and machine learning algorithms that enable data-driven insights and predictive analytics (i.e.: R-scripting and ETL).
• Developing stored procedures and views required for dashboards in Microsoft SSMS (SQL Server Management Studio).
• Utilizing dimensional modeling techniques to optimize data warehouse reporting and query performance for raw business datasets.

5% domestic travel required to satisfy project or training demands. 

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Safety is the most important part of all jobs within Nucor; therefore, candidates must be able to demonstrate the ability to initiate, lead, and uphold safety policies, practices, procedures, and housekeeping standards at all times.

Job Duties:

• Design and deliver technical solutions to support business application reporting and business intelligence analytics.
• Perform data analysis of large, complex operational, financial, production, and supply chain datasets to identify actionable insights and data modeling solutions.
• Collect, analyze, manipulate, and/or process large sets of data using statistical analysis software and BI tools (i.e: SQL Server and Azure Synapse).
• Design, develop, and maintain scalable and efficient data pipelines for processing and analyzing large volumes of data.
• Lead the development and maintenance of documentation for data processes and workflows.
• Write SQL scripts and machine learning algorithms that enable data-driven insights and predictive analytics to enhance decision-making processes and uncover valuable patterns within large datasets (i.e.: R-scripting and ETL).
• Implement data integration solutions, including loading from varying sources and transformation (ETL), data profiling, validation, and cleansing to ensure data accuracy and consistency.
• Monitor and provide BI migration assistance through Azure portal functionality, creating technical documentation.
• Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
• Write unit/integration tests, contribute to engineering, and document work.
• Develop stored procedures and views required for dashboards in Microsoft SSMS (SQL Server Management Studio).
• Utilize dimensional modeling techniques to optimize data warehouse reporting and query performance for raw business datasets.
• Create executive-level dashboards using PowerBI’s visualization tools.
• Collaborate among various project teams to design and deliver technical solutions to support business application reporting and business intelligence analytics.
• Participate in data platform and BI architecture design.