Data Analytics Apprenticeship
The Data Analytics Apprenticeship application will open on September 2, 2025. Please complete your application before September 11, 2025 . Participation in the apprenticeship program requires that you are located in the United States for the duration of the apprenticeship program. This apprenticeship is intended for individuals who want to learn and develop entry-level technical and professional skills in data analytics. If you’re currently pursuing or have completed a degree in a Data Analytics related field, we encourage you to browse our University Graduate and Internship opportunities. To start the application process, you will need an updated CV or resume in English. Click on the “Apply” button on this page and provide the required material in the appropriate section(PDFs preferred): • In the “Resume Section:” attach one single document that contains an updated resume Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Atlanta, GA, USA; Chicago, IL, USA . Minimum qualifications:
- High school degree, GED equivalent, or practical experience.
- Not currently enrolled in or completed a Bachelor's, Master's, or PhD degree program in an analytics-related field.
- Less than 1 year of relevant data analytics experience.
- Experience using Google Workspace or a similar suite of productivity tools.
- Ability to navigate ambiguous tasks, find suitable solutions, and seek help/advice where appropriate.
- Ability to work independently and within a team framework.
- Ability to be proactive and have a positive attitude.
- Excellent communication, organizational, and problem solving skills, customer service capabilities, and critical thinking abilities.
- Enthusiasm and passion for new technologies, demonstrated through personal projects and commitment to learning.
- Analyze data, identify trends and insights to drive business impact.
- Use statistical methods, code, and AI tools (where applicable) for robust analysis.
- Conduct statistical analysis and design experiments to identify insights.
- Design tests and present data-driven findings and solutions to partners.
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