Data Analytics Internship

OmniSource•Dayton, TX

17h•Onsite

About The Position

This Data Analytics Internship offers the opportunity to directly support business intelligence development for one of Steel Dynamics' largest recycling divisions. The intern will help design and automate interactive dashboards and data tools that provide real-time insights into divisional performance, sales, and marketing metrics. Interns will work with live reports from the new ERP system being implemented in February 2026, gaining hands-on exposure to large-scale data migration and analytics integration. This role involves cross-functional collaboration with leadership in operations, marketing, and IT to build end-to-end reporting solutions that drive business decisions.

Requirements

Currently pursuing a Bachelor’s degree in Data Analytics, Information Systems, Finance, Accounting, Economics, Marketing, or a related field.
Strong analytical and problem-solving skills with attention to detail.
Proficiency in Microsoft Excel (advanced functions, pivot tables, Power Query) and Power BI preferred.
Excellent communication skills and the ability to collaborate across departments.
Strong organizational skills with the ability to manage multiple projects and deadlines.
Self-motivated, eager to learn, and proactive in finding data-driven solutions.

Nice To Haves

Experience with Power BI, Qlik Sense, or Tableau.
Familiarity with SQL, DAX, or VBA for automating and connecting datasets.
Interest in industrial operations, pricing analytics, or manufacturing environments.
Exposure to ERP systems (SAP, Microsoft Dynamics, or similar) a plus.

Responsibilities

Develop and maintain Power BI dashboards and shared Excel tools that provide real-time visibility into divisional sales, marketing, and operational performance.
Automate reporting processes by linking data from the new ERP system and other internal reports into dynamic dashboards.
Support data cleansing, transformation, and modeling efforts to ensure accuracy and consistency across multiple data sources.
Collaborate with divisional leadership to identify key performance metrics (KPIs) and develop visual analytics that improve decision-making.
Build reports tracking customer sales activity, pricing trends, logistics performance, and marketing campaigns.
Document and standardize recurring analytics processes to improve reporting efficiency and sustainability.
Participate in special projects related to ERP data integration, report validation, and business process optimization.
Present findings and progress updates to divisional management, highlighting opportunities for performance improvement.