Analytics Intern

thyssenkrupp Materials•Cleveland, OH

About The Position

The Analytics Intern will support the enhancement and ongoing support of the Coil Processing Group’s (CPG) sales, operations, and production data. This role works closely with cross-functional team members to assist in developing dashboards, analytics solutions, and automation initiatives. By the end of the internship, the intern will gain exposure to multiple parts of CPG’s business and have hands-on experience with data visualization and Power Platform tools.

Requirements

Currently enrolled full-time in an accredited university.
Junior or Senior academic standing.
Business Management, Information Systems, Computer Science or any degree in the related fields.
3.0 or higher GPA
Ability to think critically and keep up in a fast-paced environment is critical.
The ideal candidate will have a passion for business and technology.
Interested in learning from data and creating appealing visualizations.
Understanding of MS Power Platform.
Strong communication, research and organizational skills.
Proficiency in Microsoft O365 suite; Word, PowerPoint, Outlook, Teams and Excel.
Self-motivated, competitive, assertive.
Ability to work both independently and in a team setting.
Willingness to take feedback and iterate on dashboards.
Ability to prioritize tasks and meet deadlines.
Willingness to learn new tools, technologies, and processes.

Responsibilities

Learn and understand CPG’s business systems of record, SAP, and how to extract data from the system or the SAP business warehouse (BW).
Collaborate with business stakeholders to identify and define Key Performance Indicators (KPIs).
Understand databases, table schemas, and data relationships.
Interpret data, perform data analysis, and conduct data validation.
Develop high-quality Power BI dashboards and visualizations.
Work with tkMNA corporate IT Cloud and DevOps teams on API development, integration, and performance optimization.
Participate in meetings and shadow team members to capture detailed system and process knowledge.
Follow established department documentation standards adding enhancements.
Perform testing, enhancements, and quality checks to ensure solution accuracy and usability.
Participate in peer-to-peer training sessions and solution reviews.
Document findings and develop a knowledge repository.
Support user documentation, training, and adoption of analytics and automation solutions