Data Analyst

General Motors Remote (United States)

General Motors has an exciting opportunity for recent college graduates who are technical, innovative, problem solvers to apply to our Analytics Career Evolution (ACE) development program.  


Employees hired into the ACE program will have an opportunity to accelerate their professional experience and expand their network by working across several areas of GM for the first few years of their employment. The ACE development program will provide a vast number of exciting projects, visibility to senior leadership, robust training, and networking opportunities.  


At the end of the development program, ACE employees will have an opportunity to work with ACE program leaders and human resources to find their next role within general motors. In anticipation of these opportunities becoming available, if you are interested in learning more about GM, completing this profile will allow us to stay connected. 


If you share our passion for reimagining transportation and creating a safer, better and more sustainable future, we encourage you to apply today! 


We are looking for Data Analyst professionals who:  

  • Have a steadfast drive for excellence  
  • Challenge themselves and their peers  
  • Enjoy working collaboratively in cross-functional teams  
  • Demonstrate a good work ethic  
  • Have a strong ability and willingness to learn  
  • Exhibit curiosity and are willing to explore new possibilities and solutions 
  • Desire to deliver innovative solutions to complex problems  
  • Understand advanced math and analytics concepts, and can apply them to real applications  


Role – as a Data Analyst, they support operational improvement and business decision making through ad-hoc statistical analysis of curated enterprise data and self-constructed data sets. Data Analysts collaborate closely with business leaders, IT partners, and other analysts to develop new and unique data-driven solutions using Big Data platforms, creative analytical methods, and data visualization techniques. 


Additional Job Description

Requirements:   

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, Social Science, or other quantitative degree preferred 
  • Preferred academic or work experience in a data-intensive field/industry such as biotechnology, computational chemistry, cognitive or neurosciences, behavioral economics, econometrics, engineering, physics, quantitative finance, high frequency trading or intelligence analytics 
  • Job locations will be in Warren or Detroit, Michigan; some roles will consider remote work 


​Technical Experience (or exposure to):  

  • Big data tools such as Hadoop, Greenplum, Spark, Hue, and Knime  
  • Business intelligence and data visualization tools including PowerBI, Excel, and Cognos.  
  • Proficiency in one of the following programming languages is desired: Python, R, Postgres, and HQL/SQL  
  • Knowledgeable of statistical methods such as regression, probability analysis, risk analysis, statistical process control, and clustering is desired  


This role offers the following Work Appropriately strategies:

  • Remote:  The selected candidate can reside and perform the work from anywhere within the United States.
  • Hybrid: This position does not require an employee to be onsite full-time to perform most effectively.  The employee’s role enables them to work at a GM facility or off-site as frequently as needed or desired. 


Relocation assistance is available to candidates who meet eligibility requirements. 


PLEASE ONLY APPLY IF YOU DO NOT NEED SPONSORSHIP TO WORK IN THE UNITED STATES NOW OR IN THE FUTURE. WE ARE UNABLE TO CONSIDER CANDIDATES WHO REQUIRE SPONSORSHIP.

Subscribe to Job Alerts