Supply Chain Intern – Analytics

JOB DESCRIPTION
FirstEnergy at a Glance
We are a forward-thinking electric utility powered by a diverse team of employees committed to making customers lives brighter, the environment better and our communities stronger.
FirstEnergy (NYSE: FE) is dedicated to safety, reliability and operational excellence. Headquartered in Akron, Ohio, FirstEnergy includes one of the nations largest investor-owned electric systems, more than 24,500 miles of transmission lines that connect the Midwest and Mid-Atlantic regions, and a regulated generating fleet with a total capacity of 3,780 megawatts.
About the Opportunity
This is an open position with FirstEnergy Service Co. a subsidiary of FirstEnergy Corp. [SC00]
The ability to work remotely within the United States may be available based on business need. This option is not available in the states of California, Colorado, Illinois, Kentucky, Massachusetts, Montana, Nebraska, New York, Oregon or Washington at this time.
As a participant in the Co-op/Intern Professional Development Program, you will be cultivating professional skills and perform professional level work at FirstEnergy. Each participant will receive on-the-job training, mentoring, experiential learning and challenging assignments to refine skills and round out competencies.
As a Supply Chain Intern at FirstEnergy, you will have hands on experience transforming data into actionable insights. Additionally, you will be empowered to gain the on the job skills and knowledge needed to conduct robust analytics across a host of real-world problems. Interns will gain proficiencies in various technologies and related software.
As a Supply Chain Intern you may participate in the following functions:
Collaborating with various teams to develop data driven insights
Mining, organizing, and interpreting large data sets
Employing models to evaluate, identify significance, predict and forecast patterns and trends in data
Utilizing real-word data sources and software to research, analyze and showcase meaningful conclusions
Reporting objective, clear, and concise data insights
Identifying opportunities for process improvements including the automation of manual processes
Using the ETL process (Extract, Transform, Load) to transform and consolidate data from multiple sources
Creating visualizations that effectively communicate trends and patterns as well as support conclusions and recommendations through in-depth graphs, charts, tables, etc.
Using geographic data to create visually exciting, interactive and informative maps
Building custom interactive data visualization
Applying information literacy skills to a variety of scenarios to locate, evaluate, organize, and communicate information to support data-driven decision making
Qualifications:
Currently enrolled in a bachelors or graduate degree program at an accredited university/college with a major in Data Science, Data Analytics, Information Systems, Computer Science, Math, Statistics, Economics or Business or related field
Completed courses in areas such as modeling, data analytics, statistics and forecasting, computer programing; information systems, data management or other relevant applied science course. Prior experience in data analytics may be considered in lieu of coursework
Must have a graduation date not earlier than May 2024 (Graduation date MUST be listed on resume)
Maintain a minimum cumulative GPA of 3.0. (GPA MUST be listed on resume)
Must have the ability to work without sponsorship (now or in the future)
Must be organized and work well with constant priority changes
ProvApply here: https://www.aplitrak.com/?adid=YmJnZW5lcmljLjI0Mzk0LjEwNTA4QGZpcnN0ZW5lcmd5Y29tcC5hcGxpdHJhay5jb20