Business Data & Analytics Intern at ThyssenKrupp Elevator Corporation in Atlanta, Georgia

Job Description:

What we expect

TK Elevator leverages the Summer Internship program to provide relevant work experience to selected participants while also considering successful candidates for potential full-time positions with the company. Important aspects of the position and skill sets required are noted below.

ESSENTIAL JOB FUNCTIONS:

• Assist in providing the Data & Analytics team with data mining and analytics to ensure contract renewal recommendations are viable while also raising any exceptions or concerns that might prohibit accuracy and use


• Partner with the Business teams to implement analytics framework, including contract guidance, dashboards, and reporting on relevant KPIs, leveraging modern Visualization tools like Power BI & Databricks


• Throughout the program, the Intern will be working with key business and IT resources to understand business problems that we are facing and developing solutions with a data-driven approach


• Opportunities will exist to present findings to key stakeholders in the business to inform with Data & Analytics concepts, methodologies and techniques


• Leverage reporting technology to develop dashboards/reporting, ad hoc reports, executive summaries, and formal presentations


• Analyze and interpret data to ensure a high level of accuracy, timeliness, and usefulness for business leaders


• Identify potential external data sources that could be integrated to enrich internal data in order to better inform the pricing analytics approach

Who we are looking for

EDUCATION & EXPERIENCE

• One Internship position available:
  
  
  • Graduate Student, Master's degree in Business Administration
  
  
  • Graduate Student, Master's degree in Analytics
  
  
  
  


• Business Intelligence, Data Warehousing, Technical Documentation Information Systems, or Finance Business Information Systems knowledge and scripting experience preferred


• Demonstrates analytical capabilities in the areas of Financial Impact Analysis, Customer Segmentation and Sensitivity Analysis


• Excellent understanding of computer science fundamentals, data structures, and statistical modeling algorithms, Python and SQL


• Strong analytical, organizational, presentation and time management skills


• Ability to work independently and multi-task with minimal supervision

Your Benefits With Us