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Strong intellectual curiosity in general and specifically in Data Analysis/Data Engineering
Current pursuit of a degree in Computer Science or related field with a current GPA 3.0 or higher.
Must be graduating with a Bachelor’s degree between December 2023 and Summer 2024.
Project management ability to track tasks to completion
Must be able to work full-time (37.5 hour work week) during the duration of the program
In the last 12 months you would have focused your college studies on areas such as computer science, information security, management information systems and data analytics
Plans to graduate with a bachelor’s degree with a preference for computer science, information security, management information systems
Good communication skills (written and verbal)
Expertise working with Microsoft Excel, including the use of pivot tables and complex data comparisons and analysis
Have hands-on experience in a project that involves large sets of data
Qualifications
Degree in Analytics, Statistics, Computer Science or other quantitative discipline
Internship experience in Data Science, Engineering, or Analytics
Strong problem-solving skill through quantitative thinking and analysis
Strong verbal and written communication Skills
Ability to work effectively in small and large teams delivering solutions for various clients
Thrive in a fast-paced, dynamic environment
Strong technical skills
Business Intelligence - Familiarity with Excel, SQL Server, Oracle database or Amazon Redshift. Ability to use Tableau or Power BI to build and analyze dashboards, Familiarity with Looker, ThoughtSpot, Sisense, a plus and familiarity with Python or R is also a plus
Data Engineering - Experience in Python and SQL
Data Science - Experience in Python, R, SQL
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