Job Directory SQL/Business Intelligence Engineer

SQL/Business Intelligence Engineer
Dallas, TX

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About

Job Description

Copart is seeking a talented SQL/Business Intelligence Engineer to join our Business Intelligence team. Copart's Business Intelligence team operates as our R&D department, specializing in data analytics, and developing Machine Learning and Deep Learning solutions for both internal and external customers.

As a SQL/Business Intelligence Engineer, you will use different tools to support our data and analytics environments, data quality, dashboards, and reports. You will collaborate with Senior Leadership, Data Scientists, and software development teams to identify, research, and develop the tools needed to support internal initiatives.

The willingness to experiment, fail, and learn is also encouraged to help us develop cutting edge solutions for our customers. Experience with, and the willingness to learn new tools is also a necessity. The desired applicant should feel comfortable providing technical guidance and mentoring to all BI staff members.

* Bachelor's degree or a Graduate degree with at least 2 years of experience
* Strong SQL skills to perform data mining
* Ability to optimize SQL using Query Optimization techniques and Execution Plans
* Comfortable mining data from different sources like Databases (DB2, MySQL) or APIs
* Experience with at least one of the following: R, Python, Java or JavaScript
* Comfortable working with Excel and CSVs
* Ability to perform complex analysis of legacy code and provide insights

Preferred

* Version control software like GIT, SVN
* Linux commands required to maintain servers, analyze log files and create CRON jobs
* 1+ year(s) experience in a reporting/analytic role using either Shiny, RMarkdown, or Tableau

Desired Characteristics

* Curious and excited to try something new
* Self-motivated, but able to collaborate well with others
* Proactively addresses issues effecting departmental, or company-wide initiatives
* Exceptionally detail-oriented
* Able to understand and translate business needs into a functional product

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