
Intel inside.
DTCO Systems Analysis Engineer at Intel
About the role
Job Details:
Job Description:
The Role and Impact:
As a Data Analyst at Intel, you will play a pivotal role in enabling smarter technological decisions by leveraging advanced data analysis techniques to drive program and project success. You will act as the critical link between foundry and customer engineering teams, transforming design PPA data into actionable insights, technical specifications, and data-driven asks from foundry technology teams. Your work will directly impact Intel's ability to predict technology trends, improve foundry design performance, and innovate in a rapidly evolving industry. By applying mathematical and statistical expertise and collaborating closely with cross-functional teams, you will help shape the future of data-driven decision-making and contribute to Intel's mission of delivering world-class foundry technology solutions.
Key Responsibilities:
- Extract, process, and cleanse complex design datasets to ensure data integrity and accuracy.
- Identify, analyze, and interpret patterns and trends in large design reports and datasets using statistical and predictive modeling techniques.
- Develop and automate data analytics, validation, and reporting tools to streamline processes and increase efficiency.
- Act as a liaison between foundry tech and customer engineering teams, gathering and translating design requirements into technical specifications for foundry.
- Monitor data integration performance and quality control plans, suggesting improvements to enhance accuracy and efficiency. Develop interactive and intuitive reports.
Qualifications:
You must possess the below minimum qualifications to be initially considered for this position. Preferred qualifications are in addition to the requirements and are considered a plus factor in identifying top candidates.
Minimum Qualifications
- Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related STEM field.
- 1+ years of experience in data analysis with a Bachelor's degree
- 6+ months of experience in data analysis tools and techniques such as SAS, SAP, SQL, or Python.
- 3+ months in data validation, cleansing, and/or verification methodologies.
- 3+ months using reporting tools to generate dashboards and visualizations.
Preferred Qualifications
- Master's degree in a relevant STEM field.
- Strong mathematical and statistical analysis skills with the ability to interpret complex datasets.
- Familiarity with automation tools for analytics and reporting.
- Experience collaborating with cross-functional teams in a fast-paced, technical environment.
- Exceptional problem-solving skills and adaptability to ambiguous challenges.
- A passion for discovering insights that drive impactful business outcomes.
We invite you to join Intel and be part of a team that transforms data into innovation, paving the way for groundbreaking advancements in technology. Apply today to unleash your potential and make an impact in the world of data-driven solutions.
Job Type:
College Grad
Shift:
Shift 1 (United States of America)
Primary Location:
US, Texas, Austin
Additional Locations:
US, California, Santa Clara
Business group:
The Central Engineering Group (CEG) is Intel's data-driven organization that builds scalable engineering solutions across three pillars: Product Enablement (IP, tools, and methodologies), Custom ASIC (leveraging existing IP for custom silicon), and Foundry Enablement (supporting top customers and validating technologies). The team focuses on customer-driven, end-to-end solutions with short development cycles to deliver measurable business impact across Intel's product and foundry businesses.
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
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $98,390.00-163,780.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
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.
Required skills
Data analysis
Statistical modeling
Data cleansing
Reporting automation
Requirements translation
Quality control
Cross-functional collaboration
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About Intel

Intel
PublicIntel Corporation is an American multinational technology company headquartered in Santa Clara, California. It designs, manufactures, and sells computer components such as central processing units (CPUs) and related products for business and consumer markets.
120,000+
Employees
Santa Clara
Headquarters
$200B
Valuation
Reviews
10 reviews
3.4
10 reviews
Work-life balance
2.5
Compensation
4.0
Culture
3.5
Career
3.0
Management
2.5
65%
Recommend to a friend
Pros
Good benefits and compensation
Innovative technology and projects
Collaborative supportive environment
Cons
Work-life balance challenges and long hours
Management issues and disorganization
High-pressure stressful environment
Salary Ranges
18 data points
Senior/L5
Senior/L5 · Advanced Field Service Engineering Data Analyst
1 reports
$132,904
total per 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
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