Extract insights from structured and unstructured datasets using statistical analysis, machine learning techniques, and data mining methodologies. * Analyze large volumes of manufacturing, test, and ...
Extract insights from structured and unstructured datasets using statistical analysis, machine learning techniques, and data mining methodologies. * Analyze large volumes of manufacturing, test, and ...
Extract insights from structured and unstructured datasets using statistical analysis, machine learning techniques, and data mining methodologies. * Analyze large volumes of manufacturing, test, and ...
Extract insights from structured and unstructured datasets using statistical analysis, machine learning techniques, and data mining methodologies. * Analyze large volumes of manufacturing, test, and ...
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... statistical information retrieved and present findings to management, Strong computer skills and ability to use necessary databases and software Skills: ADO.NET Data Analysis Data Modeling Data ...
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Statistical Analysis Data Reconfiguration information
See Oregon salary details
$31.7K - $40.1K
4% of jobs
$40.1K - $48.5K
13% of jobs
$48.5K - $56.9K
5% of jobs
$59.3K is the 25th percentile. Wages below this are outliers.
$56.9K - $65.4K
10% of jobs
The median wage is $71.3K / yr.
$65.4K - $73.8K
26% of jobs
$73.8K - $82.2K
17% of jobs
$82.6K is the 75th percentile. Wages above this are outliers.
$82.2K - $90.6K
12% of jobs
$90.6K - $99K
6% of jobs
$99K - $107.4K
2% of jobs
$107.4K - $115.8K
3% of jobs
$115.8K - $124.2K
2% of jobs
$31.7K
$74.5K
$124.2K
How much do statistical analysis data reconfiguration jobs pay per year?
What is the difference between Statistical Analysis Data Reconfiguration vs Data Analyst?
| Aspect | Statistical Analysis Data Reconfiguration | Data Analyst |
|---|---|---|
| Primary Focus | Rearranging and transforming data sets for analysis readiness | Interpreting data to generate reports and insights |
| Skills & Certifications | Statistical software, data manipulation, certifications like CAP or SAS | Data visualization, SQL, Excel, often with a bachelor's degree in related fields |
| Work Environment | Data processing teams, research labs, analytics departments | Business units, marketing, finance, or operations teams |
While both roles involve working with data, Statistical Analysis Data Reconfiguration specializes in preparing and transforming data for analysis, whereas Data Analysts focus on interpreting data to produce reports and insights. Understanding these differences helps organizations assign the right skills to each role.
Can I make 6 figures as a data analyst?
Is 40 too late for data science?
Is statistical analysis and data reconfiguration a real job?
How much does statistical analysis and data reconfiguration pay?
Full-time
Medical, Retirement, PTO
Posted 10 days ago
Intel rating
8.7
Based on 147 frontline employees who took The Breakroom Quiz
19th of 156 rated electronics manufacturers
Job description
Yield Analysis and Defects Lead Engineer
The Advanced Packaging Technology and Manufacturing (APTM) Yield Group is seeking a Yield Analysis and Defects Lead Engineer to drive yield and defect improvement initiatives across Intel's advanced packaging technology portfolio.
In this role, you will lead efforts to identify, analyze, and resolve yield-limiting mechanisms throughout technology development and high-volume manufacturing (HVM). You will work with large-scale datasets, advanced analytics, inline metrology systems, and cross-functional engineering teams to improve manufacturing processes, test methodologies, and defect detection capabilities.
The successful candidate will establish team priorities, influence technical roadmaps, drive results across organizational boundaries, and ensure progress toward key yield milestones. This position offers the opportunity to become a technical expert in advanced packaging technologies while solving complex manufacturing and yield challenges.
Key Responsibilities
- Extract insights from structured and unstructured datasets using statistical analysis, machine learning techniques, and data mining methodologies.
- Analyze large volumes of manufacturing, test, and defect data to identify yield-impacting trends and opportunities for improvement.
- Develop and implement solutions using manufacturing process knowledge, statistical methods, and structured problem-solving techniques.
- Drive recommendations and influence yield improvement roadmaps across technology development and manufacturing organizations.
- Analyze the relationship between electrical failures and physical defects through the application of:
- Failure Isolation and Failure Analysis (FIFA)
- Design for Test (DFT)
- Sort and Test methodologies
- Process Integration
- Manufacturing process flows
- Data mining and database analysis
- Data visualization techniques
- Evaluate inline defect metrology performance, detection capabilities, and defect monitoring systems used in manufacturing.
- Partner with Process Engineering, Integration, Quality and Reliability (Q&R), Product Engineering, and Test Development Engineering teams to resolve yield and defect challenges.
- Prepare and present detailed technical reports on yield performance, defect trends, and device health metrics.
- Define and drive corrective actions necessary to achieve world-class yield performance.
- Collaborate with upstream, downstream, and cross-functional stakeholders to support technology development, technology transfer, and successful ramp to high-volume manufacturing.
- Lead and mentor small teams of engineers in direct or indirect leadership capacities.
- Travel domestically and internationally as required.
Behavioral Skills
- Ability to lead cross-functional teams and effectively influence stakeholders across organizational boundaries.
- Comfortable working in ambiguous environments and adapting to changing priorities.
- Strong teamwork, leadership, prioritization, and problem-solving capabilities.
- Excellent analytical thinking and passion for data-driven decision-making.
- Strong organizational skills and attention to detail.
- Effective interpersonal skills with the ability to collaborate across all organizational levels.
- Strong verbal, written, presentation, and technical communication skills.
- Positive attitude with a willingness to take ownership and lead initiatives.
- Ability to work independently with minimal supervision.
Minimum Qualifications
- Bachelor's degree with 9+ years of experience, OR
- Master's degree with 6+ years of experience, OR
- PhD with 4+ years of experience
- In Materials Science and Engineering, Mechanical Engineering, Chemical Engineering, Electrical Engineering, Computer Science, Information Systems, Physics, Chemistry, or a related technical discipline.
- 5+ years of experience performing data analysis using tools like JMP, Python, or similar statistical and data analysis tools.
Preferred Qualifications
- Experience applying advanced statistical analysis techniques to manufacturing or yield-related problems.
- Experience utilizing structured technical problem-solving methodologies.
- Knowledge of semiconductor product design, circuit design, or architecture as it relates to yield analysis.
- Knowledge of inline defect metrology systems and their application to yield improvement.
- Experience with semiconductor manufacturing, advanced packaging technologies, or high-volume manufacturing environments.
- Experience working with large manufacturing datasets, databases, and data visualization tools.
- Experience leading technical projects or mentoring engineering teams.
Working Model
This role may require domestic and international travel as needed to support technology development and manufacturing activities.
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, New Mexico, AlbuquerqueBusiness group:Intel Foundry strives to make every facet of semiconductor manufacturing state-of-the-art while delighting our customers -- from delivering cutting-edge silicon process and packaging technology leadership for the AI era, enabling our customers to design leadership products, global manufacturing scale and supply chain, through the continuous yield improvements to advanced packaging all the way to final test and assembly. We ensure our foundry customers' products receive our utmost focus in terms of service, technology enablement and capacity commitments. Employees in the Foundry Technology Manufacturing are part of a worldwide factory network that designs, develops, manufactures, and assembly/test packages the compute devices to improve the lives of every person on Earth.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 TrustN/ABenefitsWe 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: $190,610.00-269,100.00 USDThe 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.About Intel
Sourced by ZipRecruiter
Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth
Industry
Manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1968