Data Analyst Apprenticeship

Apprentice Responsibilities:
The work-study program participant will have the following responsibilities as part of the technical and work-study program:

• Analyze data to identify trends or relationships among variables.
• Determine appropriate methods for data analysis.
• Evaluate technical data to determine the effect on designs or plans.
• Evaluate data quality.
• Prepare data for analysis.
• Present research results to others.
• Prepare analytical reports.
• Prepare graphics or other visual representations of information.
• Design research studies to obtain scientific information.
• Apply mathematical principles or statistical approaches to solve problems in scientific or applied fields.
• Evaluate project designs to determine adequacy or feasibility.
• Supervise information technology personnel.
• Update knowledge about emerging industry or technology trends.
• Implement security measures for computer or information systems.
• Install computer software.
• Write computer programming code.
• Design software applications.

Qualifications:
For eligibility, you must meet the following minimum requirements:

• Be over 18 years of age. Be a U.S. citizen and have the right to work in the U.S.
• Availability to train for 12 months in the registered Apprenticeship program.
• Language: Have a strong verbal and written level of English (for non-native speakers, a CEFR level of B2, an IELTS band score of 6.5, or a TOEFL score of 80 is recommended).
• Have a high school diploma, vocational certificate, or equivalent.
• Have access to a computer (PC or Mac), headphones, a webcam, and a stable internet connection.
• At least 8 GB of RAM and 100 GB of storage space available on your computer.
• Administrator rights to your computer in order to install required programs.

Technical prerequisites:

• fundamentals of probability, statistics, and linear algebra (high-school degree level)
• programming language (HTML, SQL, Python ...)
• manipulating data (Excel, BI tool ...)

OR

These skills could be validated by having successfully completed a bootcamp or certification program or the following courses:

Master the Fundamentals of Excel

Learn Python Basics for Data Analysis.