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Data Analyst Intern

158091
Longmont, CO, United States
Nov 4, 2019

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Job Description

Description

At Xilinx, we are leading the industry transformation to build an adaptable, intelligent world. ARE YOU bold, collaborative, and creative? At Xilinx, we hire and develop leaders and innovators who want to revolutionize the world of technology. We believe that by embracing diverse ideas, pushing boundaries, and working together as ONEXILINX, anything is possible.

Our culture of innovation began with the invention of the Field Programmable Gate Array (FPGA), and with the 2018 introduction of our Adaptive Compute Acceleration Platform (ACAP), has made a quantum leap in capability, solidifying our role as the adaptable platform supplier of choice. From the start, we have always believed in providing inventors with products and platforms that are infinitely adaptable. From self-driving cars, to world-record genome processing, to AI and big data, to the world's first 5G networks, we empower the world's builders and visionaries whose ideas solve every day problems and enhance people's lives.

If you are PASSIONATE, ADAPTABLE, and INNOVATIVE, Xilinx is the right place for you! At Xilinx we care deeply about creating meaningful development experiences while building a strong sense of belonging and connection. We foster an environment of empowered learning, wellness, community engagement, and recognition, so you can focus on work that matters - world class technology that improves the way we live and work. We are ONEXILINX.

  

The Knowledge Systems Team at Xilinx is seeking an intern to assist with measurement, metrics, and analysis of Xilinx operational data.  The primary goal of this position is to generate insights into the effectiveness of online technical content in solving customer issues.  The ideal candidate will be passionate about using data to answer challenging questions and meticulous about data integrity.
 
Key tasks will involve:
  • Learn the high level structure of the Xilinx support website and customer use cases
  • Analyze and present data regarding online support resource usage and effectiveness
  • Design and execute data collection, cleansing and repeatable analysis processes 

 

 

 



Qualifications:
  • Demonstrated experience using data analysis principles and techniques
  • Self-starter with ability to work independently on projects
  • Strong communication and organizational skills
  • Skills working with Python, ML, APIs preferred

Currently, pursuing an Undergrad or Master's degree

Start date: May/June 2020

Duration: 3 months (Full-time/40 hours per week)

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