Business Data Engineer - MES/ERP

Nucor•Dallas, TX

7d•Onsite

About The Position

Nucor Business Technology (NBT) is seeking qualified applicants for the position of Business Data Engineer - MES/ERP. Nucor is North America's largest steel and steel products manufacturer, known for its innovative sustainability practices and as the continent's largest recycler. The company fosters a vibrant culture built on personal connections and teamwork, empowering team members with the freedom to innovate and contribute to collective success. This role is crucial for designing and delivering technical solutions to support business application reporting and business intelligence analytics, performing data analysis on large datasets, and developing data pipelines and dashboards.

Requirements

Bachelors degree in Computer Science, Information Technology, or Business Analytics
2 years of experience in performing analytics on large, complex operational, financial, production, and supply chain datasets to identify actionable insights data modeling solutions.
Experience in analyzing, manipulating, and/or processing large sets of data using statistical analysis software and BI tools (i.e: SQL Server and Azure Synapse).
Experience creating executive-level dashboards using visualization tools (PowerBI).
Experience writing SQL scripts and machine learning algorithms that enable data-driven insights and predictive analytics (i.e.: R-scripting and ETL).
Experience developing stored procedures and views required for dashboards in Microsoft SSMS (SQL Server Management Studio).
Experience utilizing dimensional modeling techniques to optimize data warehouse reporting and query performance for raw business datasets.
Ability to initiate, lead, and uphold safety policies, practices, procedures, and housekeeping standards at all times.

Responsibilities

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.