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Product Analyst Student for Big Data Analytics

Intel


Location:
Petach-Tiqwa, IL
Date:
01/17/2018
2018-01-172018-02-15
Job Code:
JR0039688
Categories:
  • Engineering
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Job Details

Product Analyst Student for Big Data Analytics Careers at Intel in Petach
   
Job ID: JR0039688
Job Category: Intern/Student
Primary Location: Petach-Tiqwa, IL
Other Locations:
Job Type: Intern

Product Analyst Student for Big Data Analytics

Job Description

We are a cutting edge group who leads big data analytics at Intel, and passionate about cloud/big data technologies, machine learning and state-of-the-art projects that what's we do the best.

We are looking for a product analyst student to come and rock our world!

Work includes engagement with customer representatives to clarify the business needs, analyze big data sets, define the requirements and design an artificial intelligence solution to solve complex business problems. 


Qualifications

  • Preferred skill set and education:
  • Second or third year student currently pursuing a Bachelor of Science degree majoring in Industrial Engineering or Information System Engineering.
  • Students in advanced degrees with experience in Data Mining, Text Mining, Image processing, Predictive Analytics- is an advantage
  • Willing to to work 2.5 days a week in parallel to the studies.
  • Excellent Analytical skills
  • Excellent English communication skills.
  • The position is based in Petach Tikva or Haifa.

Inside this Business Group

Intel's Information Technology Group (IT) designs, deploys and supports the information technology architecture and hardware/software applications for Intel. This includes the LAN, WAN, telephony, data centers, client PCs, backup and restore, and enterprise applications. IT is also responsible for e-Commerce development, data hosting and delivery of Web content and services.

   

As an electronics industry innovator and a leader in corporate responsibility, we look for ways to apply our technology to address global challenges while serving as a role model for how companies should operate.

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