Data Services Intern

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Job Description:

Position Description: 

As part of the Ryder IT team, the Data Services Intern will perform a variety of job functions for traditional on premise as well as cloud based environments, including but not limited to, operational and analytical database design, working with structured, semi-structured and/or unstructured data, data profiling/analysis, database, data ingestion, ETL, report and dashboard development, testing, documentation, and production environments support including troubleshooting and break fixes. The position could be extended past the summer internship period and may lead to a temporary position. 

Requirements: 

• Senior/Graduate Students pursuing a bachelor's or master’s degree in management information systems (MIS) , computer science, data science or computer engineering preferred 

• Exposure to SQL, database management systems, NO-SQL databases, ETL tools like Informatica preferred 

• Exposure to cloud technologies and platforms desired 

• Exposure to machine learning and predictive modeling desired 

• Knowledge to scripting languages like UNIX shell scripting, Python, R preferred 

• Must be self-motivated, results-oriented and accountable 

• Excellent interpersonal and communication skills 

• Ability to work independently 

• Passionate for learning 

• Good organizational skills 

• Ability to: 

• Write SQL queries 

• Learn new technologies and tools, bring new ideas to the team and be an effective team player 

• Effectively communicate with management and co-workers and customers; strong customer focus 

• Learn, adapt, grow, and be flexible 

• Multitask, demonstrate good organization and time management skills 

• Work well under pressure, successfully meet schedules, work independently as needed to produce high quality work with minimal supervision 

• Operate as part of a cross-functional project team that will organize, plan and execute varying scale projects from vision to implementation  

• Knowledge of: 

• Data Warehouse Dimensional model structures, including facts and dimensions preferred 

• Information technologies