1

Python Data Analysis Internship Jobs in New Mexico

What Data Analytics contributes to Cardinal Health: The Data & Analytics Function oversees the ... Hands-on experience with Python scripting for data engineering and automation preferred.

Sr. Data Analyst, Online Investigations

House, NM · On-site

$77K - $97K/yr

... data support and analysis required across functional areas such as Operations, Merchandising ... Experience with Python. Minimum Education: * The knowledge, skills and abilities typically acquired ...

Conducts data analysis to identify trends, patterns, and insights related to student success ... Experience using PowerBI, SQL, Python, SAS Enterprise Guide, and/or SAS Viya is a plus. EEO ...

Research Analyst

Albuquerque, NM · On-site

$53K - $67K/yr

Conducts data analysis to identify trends, patterns, and insights related to student success ... Experience using PowerBI, SQL, Python, SAS Enterprise Guide, and/or SAS Viya is a plus. EEO ...

next page

Showing results 1-20

Python Data Analysis Internship information

What is a Python Data Analysis Internship?

A Python Data Analysis Internship is a temporary position, often for students or recent graduates, that provides hands-on experience in analyzing data using the Python programming language. Interns typically assist with collecting, cleaning, and interpreting large datasets, using Python libraries such as pandas, NumPy, and matplotlib. The internship is designed to help participants develop practical skills in data manipulation, statistical analysis, and data visualization. It is a great way to gain real-world experience in data science and analytics while building a professional network.

What are the key skills and qualifications needed to thrive as a Python Data Analysis Intern, and why are they important?

To thrive as a Python Data Analysis Intern, you need a solid understanding of statistics, data manipulation, and Python programming, often supported by relevant coursework or projects. Familiarity with tools such as pandas, NumPy, Jupyter Notebook, and data visualization libraries like matplotlib or seaborn is typically required. Strong analytical thinking, attention to detail, and effective communication skills help interns interpret data and share insights clearly with team members. These skills enable interns to extract actionable insights from complex datasets and effectively contribute to data-driven decision making.

What is the difference between Python Data Analysis Internship vs Data Analyst?

AspectPython Data Analysis InternshipData Analyst
Required SkillsPython, data analysis, basic statisticsData analysis, SQL, Excel, Python (optional)
Work EnvironmentInternship setting, learning-focusedFull-time or part-time professional role
Experience LevelEntry-level, internshipEntry to mid-level professional
Industry UsageInternship programs, entry rolesBusiness, finance, tech, healthcare

While a Python Data Analysis Internship focuses on gaining hands-on experience with Python and data analysis tools in an internship setting, a Data Analyst role involves applying these skills professionally to analyze data, generate reports, and support decision-making in various industries.

What types of projects and tasks can I expect to work on during a Python Data Analysis Internship?

As a Python Data Analysis intern, you can typically expect to work on projects involving data collection, cleaning, and exploration using Python libraries such as Pandas and NumPy. Your daily tasks may include writing scripts to automate data processing, creating visualizations with tools like Matplotlib or Seaborn, and assisting in preparing reports or presentations based on your findings. Interns often collaborate with data scientists, analysts, and sometimes other departments to support ongoing projects and gain exposure to real-world data challenges. This hands-on experience is valuable for building both technical skills and an understanding of how data-driven decisions are made in a professional environment.
What are the most commonly searched types of Python Data Analysis jobs in New Mexico? The most popular types of Python Data Analysis jobs in New Mexico are:
What are popular job titles related to Python Data Analysis Internship jobs in New Mexico? For Python Data Analysis Internship jobs in New Mexico, the most frequently searched job titles are:
What job categories do people searching Python Data Analysis Internship jobs in New Mexico look for? The top searched job categories for Python Data Analysis Internship jobs in New Mexico are:
Infographic showing various Python Data Analysis Internship job openings in New Mexico as of July 2026, with employment types broken down into 85% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution.
APTM Yield Analysis Senior Engineer / Team Leader

APTM Yield Analysis Senior Engineer / Team Leader

Intel

Albuquerque, NM

Full-time

Medical, Retirement, PTO

Posted 24 days ago


Intel rating

8.7

Company rating: 8.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

11th of 142 rated electronics manufacturers


Job description

Job Details: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.
Qualifications:

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/ABenefits

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: $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.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Intel logo

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