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Data Analyst Engineer - Intern (Graduate)

Intel

Data Analyst Engineer - Intern (Graduate)

Intel

Taiwan, Hsinchu

·

On-site

·

Internship

·

5d ago

Job Details:

Job Description:

  • Contributes to process and quality improvements in Intel's supply chain engineering and logistics initiatives by analyzing process performance, conducting quality assessments, and assisting in supplier development.

  • Collaborates with cross functional teams to optimize KPI dashboard visualization, address data pipeline issues and develop web tool.

  • As an intern, learns and applies knowledge, builds skills, and explores future career opportunities through hands-on experience and projects that support Intel business goals in a collaborative environment

Qualifications:

  • 1-year internship: full-time (40 hrs/week) Jul

  • Aug 2026; part-time (min. 24 hrs/week, 3 days on-site) Sep 2026 - Jun 2027

  • You must be pursuing a Master’s degree in an engineering or scientific field, preferably Computer Science, Industrial Engineering, or other related disciplines.

  • Good in English verbal and written communications.

  • Good analytical and data management skills.

  • Familiar with both python & SQL programming.

  • Coursework or hands-on experience using basic statistics.

  • Experience in software engineering for web app development is a plus

This is a one-year internship program.

Requirements listed would be obtained through a combination of industry relevant job experience, internship experiences and or schoolwork/classes/research.

Job Type:

Student / Intern

Shift:

Shift 1 (Taiwan)

Primary Location:

Taiwan, Hsinchu

Additional Locations:

Business group:

The Corporate Planning Group (CPG) is the strategic heartbeat of Intel, acting as catalyst for innovation and transformation, guiding the company towards achieving its vision and maintaining a competitive edge in the marketplace. CPG exists to build a comprehensive operating plan that leverages internal and external manufacturing for Intel's growth. We emphasize data-driven innovation and results, ensuring we meet customer demands and financial targets. Join CPG to be part of a forward-looking group that is not just planning for tomorrow, but redefining it.

Posting Statement:

All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Position of Trust

N/A

Work Model for this Role

This role will require an on-site presence. Job posting details (such as work model, location or time type) are subject to change.

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

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About Intel

Intel

Intel

Public

Intel inside.

120,000+

Employees

Santa Clara

Headquarters

$200B

Valuation

Reviews

3.5

3 reviews

Work Life Balance

3.0

Compensation

3.0

Culture

2.5

Career

2.5

Management

2.0

25%

Recommend to a Friend

Pros

Offers internship opportunities

Interview opportunities available

Cons

Major job cuts and layoffs

Spam emails after rejection

Poor communication practices

Salary Ranges

6 data points

Senior/L5

Senior/L5 · Advanced Field Service Engineering Data Analyst

1 reports

$132,904

total / year

Base

$102,234

Stock

-

Bonus

-

$132,904

$132,904

Interview Experience

2 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience