Data Services Intern

Ryder Supply Chain SolutionsCoral Gables, FL

About The Position

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. These functions include, but are 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
  • 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
  • Ability to learn new technologies and tools, bring new ideas to the team and be an effective team player
  • Ability to effectively communicate with management and co-workers and customers; strong customer focus
  • Ability to learn, adapt, grow, and be flexible
  • Ability to multitask, demonstrate good organization and time management skills
  • Ability to work well under pressure, successfully meet schedules, work independently as needed to produce high quality work with minimal supervision
  • Ability to operate as part of a cross-functional project team that will organize, plan and execute varying scale projects from vision to implementation
  • Knowledge of Windows and UNIX operating systems
  • Bachelor's degree required
  • Currently enrolled toward a degree
  • Strong PC skills (Windows, MS Office, MS Project, MS Excel) intermediate

Nice To Haves

  • 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
  • Knowledge of Data Warehouse Dimensional model structures, including facts and dimensions preferred
  • Knowledge of Information technologies
  • Knowledge of Cloud platform like Microsoft Azure desired
  • Knowledge of BI tools (e.g. MicroStrategy, Power BI, Tableau, Cognos, etc.)
  • Certificate in Cloud based data ingestion, storage and analytics tools like Azure Data Factory, BLOB Storage, Power BI etc. completed or in progress desired
  • Certificate in database management systems or business intelligence completed or in progress preferred
  • Robotic Process Automation (RPA) knowledge desired

Responsibilities

  • Work with on premise and cloud based solutions and platforms
  • Analyze and document data requirements including facilitation of sessions with business
  • Data analysis and profiling
  • Collaborate with the technical team, in any given product development cycle, on data requirements
  • ETL source to target documentation including business matrix and functional requirements
  • Develop and test data ingestion and ETL processes
  • Troubleshoot data ingestion, ETL and data issues
  • Design, develop, and support interactive visual dashboards and reports
  • Ability to write SQL queries to profile data and validate solutions delivered against data sources
  • SQL troubleshooting
  • Develop and test scripts to support ETL jobs execution
  • Understand that the end user is the primary reason for the technology and therefore strive for full customer satisfaction
  • Partner with key members of various departments to determine the definitions of essential data elements
  • Work with data architects to review and implement logical and physical database models
  • Support the mapping of source system data to target models into data warehouse and data lake
  • Define and capture metadata and rules associated with the calculation of metrics
  • Test automation
  • Perform other duties as assigned

Benefits

  • Comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options
  • Paid time off for vacation, illness, bereavement, family and parental leave
  • Tax-advantaged 401(k) retirement savings plan
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