Data Engineer
Location: Santa Clara, CA, us
Job Description
Description/Comment:
The Client Service Curriculum Development team is seeking a detail oriented, technical savvy, professional who likes to think outside the box and has a proven track record of delivering large, complex and scalable reporting solutions.
Description:
Leading the design, development and deployment of data reporting solutions for Client Service Training. This role involves significant interaction with large data sets, querying, modeling, reporting, and presentation development. The engineer must not only be comfortable with large data sets, but also have an ability to communicate findings effectively.
The successful candidate is detail oriented, organized and concise. Acquisition of new concepts comes naturally to this individual whose proven track record includes developing reporting and dashboard solutions using multiple UI and reporting tools .
The Data Engineer will:
· Work with the Training Project Management and Leadership team to understand the business and create necessary tables and files for reports
· Provide subject matter expertise to support reporting needs for the multiple functional areas
· Run ad-hoc report requests and validate results
· Developing reporting and dashboard solutions on DW platform using multiple UI and reporting tools
· Automate report requests either through scheduling reports or through integration with custom dashboard tool
Key Qualifications
· Extensive experience querying, modeling and visualizing data using tools like Tableau, MicroStrategy, SQL, SPSS, and R
· High attention to detail, organization, team-orientation and an ability to work under tight deadlines
· Excellent verbal, visual, and written communication skills, especially an ability to simplify complex data into actionable insights
· Mastery of Keynote and Excel/Numbers (with a preference for Apple OS preferred)
· Extensive, demonstrable quantitative experience
Education:
Bachelor’s or Master’s degree (CS or quantitative emphasis preferred, some academic experience with statistics preferred)
Additional Information
Education: Bachelor's or Master’s degree in computer science or equivalent
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