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Data Analysis Internship Jobs in Puerto Rico (NOW HIRING)

Quality Consulting Group

PR · On-site

Co-op Internship student will support continuous improvement initiatives focused on optimizing ... Collect and analyze data to identify efficiency opportunities. * Assist in process documentation ...

Quality Consulting Group

PR · On-site

Co-op Internship student will support continuous improvement initiatives focused on optimizing ... Collect and analyze data to identify efficiency opportunities. * Assist in process documentation ...

Quality Consulting Group

PR · On-site

Co-op Internship student will support continuous improvement initiatives focused on optimizing ... Collect and analyze data to identify efficiency opportunities. * Assist in process documentation ...

Consertus, Inc.

Junior Integration Developer

Guaynabo, PR

$67K - $87K/yr

Work closely with data engineering and analytics teams to support BigQuery and Cloud Storage ... Working knowledge of Python and SQL (internships, academic projects, or entry-level experience ...

Consertus, Inc.

Junior Integration Developer

Guaynabo, PR · On-site

$67K - $87K/yr

Work closely with data engineering and analytics teams to support BigQuery and Cloud Storage ... Working knowledge of Python and SQL (internships, academic projects, or entry-level experience ...

Consertus, Inc.

Junior Integration Developer

San Juan, PR

$65K - $85K/yr

Work closely with data engineering and analytics teams to support BigQuery and Cloud Storage ... Working knowledge of Python and SQL (internships, academic projects, or entry-level experience ...

Adecco

JR Engineer (Co-op Student)

Aibonito, PR

$15/hr

This internship opportunity offers students valuable hands-on experience in continuous improvement ... Collect, organize, and analyze operational data to identify efficiency and productivity ...

Falcon Sanchez & Associates

PR · On-site

$103K - $135K/yr

Supervise, coach, and develop seniors, staff, and interns. * Collaborate with firm leadership on ... Experience with audit software and data analytics tools preferred. * Bilingual (Spanish and English ...

Institute for Building Technology and Safety

PR · On-site

$15 - $19.50/hr

... Liaison Interns in the WCRP and Hazard Mitigation Program . This temporary position offers ... Data Entry and Analysis: Assist with entering survey data into spreadsheets (Excel) and generating ...

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Data Analysis Internship information

What is a Data Analysis Internship?

A Data Analysis Internship is a temporary position where students or recent graduates gain practical experience in collecting, processing, and interpreting data to help organizations make informed decisions. Interns typically work under the supervision of experienced data analysts and use tools like Excel, SQL, or Python to analyze datasets. The role helps interns develop technical and analytical skills, and often includes tasks such as generating reports, identifying trends, and presenting findings. This internship is valuable for building a foundation in data analysis and can lead to future career opportunities in the field.

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

AspectData Analysis InternshipData Analyst
Required CredentialsTypically pursuing or recent graduate in related fieldBachelor's or higher in data-related field, some roles prefer certifications
Work EnvironmentInternship programs, entry-level, supervisedFull-time, professional setting, independent responsibilities
Employer & Industry UsageInternship programs in tech, finance, healthcare, etc.Full-time roles across various industries
Search & Comparison IntentLooking for entry-level opportunities, internshipsSeeking full-time data analysis roles

In summary, a Data Analysis Internship is an entry-level, supervised position designed for students or recent graduates to gain experience. A Data Analyst is a full-time professional role requiring more experience and responsibility. Both roles are common in similar industries and often share similar educational backgrounds, but they differ significantly in scope and career stage.

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

To thrive as a Data Analysis Intern, you typically need a strong foundation in statistics, analytical thinking, and familiarity with data manipulation, often supported by coursework in mathematics, computer science, or related fields. Proficiency in tools such as Excel, SQL, Python or R, and data visualization platforms like Tableau is commonly expected. Attention to detail, curiosity, and effective communication skills help interns interpret data accurately and share insights with diverse teams. These abilities are crucial for transforming raw data into actionable insights and supporting informed decision-making within an organization.

What are some common challenges faced during a Data Analysis Internship, and how can I overcome them?

As a Data Analysis Intern, one common challenge is working with large, complex datasets that may have missing or inconsistent information. Learning how to clean and preprocess data efficiently is crucial for meaningful analysis. Another challenge is understanding the business context behind the data, which often requires close collaboration with team members from different departments. To overcome these hurdles, proactively seek guidance from mentors, utilize available documentation, and regularly communicate with stakeholders to clarify project goals and data requirements.
What are the most commonly searched types of Data Analysis jobs in Puerto Rico? The most popular types of Data Analysis jobs in Puerto Rico are:
What job categories do people searching Data Analysis Internship jobs in Puerto Rico look for? The top searched job categories for Data Analysis Internship jobs in Puerto Rico are:
Data Analysis Internship jobs near you
Mechanical Engineer II, Data Analytics and Machine Learning (Hybrid - Aguadilla, PR)

Mechanical Engineer II, Data Analytics and Machine Learning (Hybrid - Aguadilla, PR)

Raytheon Technologies

Aguadilla, PR • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

Job description

Date Posted:
2026-04-22
Country:
United States of America
Location:
US-PR-AGUADILLA-110 ~ Rd 110 N Km 28.8 ~ RD110
Position Role Type:
Hybrid
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.
Security Clearance:
None/Not Required
At Collins Aerospace, we design, invent, and deliver advanced aerospace and defense solutions that keep the world moving. Our Global Engineering & Technology Center in Puerto Rico (GETC-PR) is looking to hire a talented Mechanical Engineer with foundational skills in Data Analytics and Machine Learning to support engineering teams by analyzing aircraft services and engineering datasets. This role focuses on extracting insights, building predictive models, and contributing to field performance and reliability improvements.
A strong understanding of mechanical engineering fundamentals, such as structural behavior, dynamics, or thermal concepts, will help the candidate interpret engineering data while collaborating effectively with subject matter experts. This analytics-focused role works closely with engineering discipline owners, providing opportunities for professional growth and impactful contributions.
This position will sit at our Aguadilla, PR location. You must be residing in Puerto Rico at the time of starting employment. Relocation is not offered.
This role is categorized as hybrid, with 3 days onsite and 2 days remote following the schedule assigned by the Manager.
What YOU will do:
  • Analyze engineering and aircraft performance datasets to generate actionable insights for product performance and reliability.
  • Perform data curation, cleaning, integration, and preparation for analytics, modeling, and machine learning workflows.
  • Work with strain gauge, structural, thermal, and flight/aircraft data to extract features, identify trends, and detect anomalies or predictive indicators.
  • Develop, train, and validate machine learning (ML) models for applications such as predictive maintenance, service time estimation, and performance forecasting.
  • Define validation approaches, acceptance criteria, and performance metrics for analytical and ML models.
  • Provide data-driven insights and recommendations to design, reliability, service engineering, and customer support teams.
  • Conduct statistical analyses to evaluate the quality and completeness of engineering or enterprise data.
  • Collaborate with engineering teams to support investigations and continuous improvement initiatives using digital thread and enterprise data resources.
  • Research and implement ML algorithms (e.g., supervised learning, unsupervised learning, clustering, anomaly detection) for engineering applications.
  • Prepare technical documentation, presentations, and reports for technical and non-technical audiences.
  • Occasionally travel domestically and/or internationally to support project requirements.

What YOU will learn:
  • You will learn about our growing engineering team in Puerto Rico; What we do? Who we support? How we work?
  • You will learn the technologies of today and tomorrow which we count on to maintain world leadership in the aerospace industry.
  • You will learn why people enjoy and feel fulfilled by working in our industry.

Qualifications you must have:
  • Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and 2 years prior relevant experience or an Advanced Degree in a related field.
  • Demonstrated professional experience communicating in English (verbal and written).
  • U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Qualifications We Prefer:
  • Degree in Mechanical Engineering, Aerospace Engineering, or a related field
  • Experience in data analytics workflows, statistical methods, and engineering data interpretation (internship/co-op experience qualifies).
  • Hands-on experience with Python for data analysis (e.g., NumPy, Pandas, PySpark).
  • Basic knowledge of machine learning concepts, with experience in developing and validating models for prediction, classification, or anomaly detection.
  • Understanding of mechanical engineering principles, including structural behavior, dynamics, and thermal concepts, or knowledge of aircraft systems.
  • Proficiency with Microsoft Office programs and tools.
  • Familiarity with database tools and SQL.
  • Exposure to data visualization tools (e.g., Tableau, Power BI).
  • Background in finite element analysis (FEA), structural analysis, thermal concepts, dynamics, or instrumentation data interpretation (not required, but beneficial).
  • Experience with Agile methodologies and tools (e.g., JIRA, Confluence).
  • Exposure to digital thread, PLM systems, or model-based engineering workflows.

What We Offer
Some of our competitive benefits package includes:
  • Medical, dental, and vision insurance
  • Three weeks of vacation for newly hired employees
  • Generous 401(k) plan that includes employer matching funds
  • Participation in the Employee Scholar Program (ESP)
  • Life insurance and disability coverage
  • Employee Assistance Plan, including up to 8 free counseling sessions.
  • And more!

Learn More & Apply Now!
Collins Aerospace, an RTX business, is a leader in technologically advanced and intelligent solutions for the global aerospace and defense industry. Collins Aerospace has the capabilities, comprehensive portfolio, and expertise to solve customers' toughest challenges and to meet the demands of a rapidly evolving global market.
Join our growing engineering team in Puerto Rico, where you will provide critical support to all Collins SBUs, working on exciting programs and projects ranging from the development of the next generation of advanced concept ejection seats to the latest technologies for the U.S. warfighter.
WE ARE REDEFINING AEROSPACE.
* Please consider the following role type definition as you apply for this role.
Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.
At Collins, the paths we pave together lead to limitless possibility. And the bonds we form - with our customers and with each other -- propel us all higher, again and again.
Apply now and be part of the team that's redefining aerospace, every day.
RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act.
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