Trainee, Connected eMobility (Finance)
The new graduate trainee program is a dynamic 18-month rotational program designed for previous BMW interns. Through this immersive experience, trainees will gain valuable insights into the business processes, strategy, culture, and BMW Group brands from a local perspective. By rotating through various departments, trainees will develop a well-rounded understanding of the organization and its operations. This program provides an exceptional opportunity for recent graduates to kickstart their career with the BMW Group.
- Develop and maintain data solutions to support charge testing & validation for BMW electric vehicles in the U.S. market. Data solutions will include data engineering for charging session data in the AWS cloud.
- Develop data pipelines in our AWS-based Cloud Data Hub to transform and aggregate charging session data. This also includes integration of additional internal and external data sources, some via APIs.
- Gather hands-on vehicle knowledge and support with testing and validation for current and upcoming BMW offerings.
- Gather knowledge on digital integration topics and specific vehicle products being offered in our current and upcoming BMW offerings.
- Gather knowledge on business strategy in an ever growing and changing electric vehicle space and explore the partnerships that are needed to ensure successful EV adoption and growth.
WHAT YOU SHOULD BRING.
- Previous Intern with BMW of North America (Rolls Royce, MINI, Motorrad), Financial Services, Bank, Designworks or Shared Services
- Completed a bachelor's or master's degree, no more than 14-months from an accredited college or university prior to the start of the program
- Must be legally authorized to work in the United States and not require sponsorship for an immigration-related employment benefit now or in the future
- Possess a minimum cumulative GPA of 3.0 (not just in major)
- Must attach a copy of college unofficial transcript
- Ability to work full-time
- Ability to work a hybrid schedule
PREFERENCES:
- Field of study: Electrical Engineering, Computer Science, Mechanical Engineering, or other relevant fields
- Experience with Python and SQL
- Experience with cloud data platform; i.e., AWS, Azure, GCP, but preferably AWS
- Experience with APIs for data integration
- Experience in Data Science including data wrangling with real-life datasets
- Excellent Knowledge of MS Word, MS PowerPoint, MS Excel
- Experience with measurement devices (multimeter, oscilloscope, etc.) is a plus
- Advanced understanding of electrical concepts (current, voltage, transients, harmonics, etc.)
- Excellent time-management skills; ability to prioritize and handle multiple tasks simultaneously
- Ability to manage sensitive and confidential information
- Excellent organizational and planning skills
- Self-motivated, adaptable to a dynamic environment
- Able to work both independently and as part of a team
- Languages: English (fluent, oral, and written)
WHAT YOU CAN LOOK FORWARD TO.
- Medical Insurance
- Trainee vehicle program
- Generous PTO and Company paid holidays
- Hybrid work environment
Relocation is not available for this position.
This is a hybrid role that requires regular attendance in the office.
The hourly rate for Master's level Trainees is $39.74
The hourly rate for Bachelor's level Trainees is $31.40
All pay ranges are based on a full-time work schedule. This statement is in accordance with state and local pay disclosure requirements.
Even more so than the generous compensation and benefits, the culture and values of BMW of North America makes it the ultimate working environment. These values are Responsibility, Appreciation, Transparency, Trust, and Openness. We allow these values to guide the way we conduct ourselves and our business.
BMW in the United States is an equal opportunity employer. It is the policy of BMW Group in the United States to provide equal employment opportunity (EEO) to all qualified persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
