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Data Analyst Data Analyst Jobs in Puerto Rico (NOW HIRING)

PharmEng Technology Americas

PR · On-site

Ensure the accuracy and completeness of data across multiple platforms through analysis, auditing, and reporting. * Develop and maintain data integrity policies and procedures in alignment with ...

Para la Naturaleza

PR · On-site

... data analysis, reporting, and operational decision-making. The Analyst plays a key role in budget management, financial tracking, compliance, and cross-functional coordination . Key Responsibilities

Northbridge University

PR · On-site

Power BI Data Analyst Associate * Artificial Intelligence Governance Professional (AIGP) * Project Management Professional (PMP) * Prosci Change Management Certification * Experiencia en gobernanza ...

Hersheys

Business English ROLE OVERVIEW Responsible for supporting category growth by developing data-driven category insights, space and assortment recommendations, and analytical tools that translate ...

Telemedik

PR · On-site

Join Our Team! | Business Analytics Specialist Are you passionate about data analysis and strategic decision-making? We are looking for a Business Analytics Specialist to support our Contact Center ...

Telemedik

PR · On-site

Join Our Team! | Business Analytics Specialist Are you passionate about data analysis and strategic decision-making? We are looking for a Business Analytics Specialist to support our Contact Center ...

Telemedik

PR · On-site

Join Our Team! | Business Analytics Specialist Are you passionate about data analysis and strategic decision-making? We are looking for a Business Analytics Specialist to support our Contact Center ...

Telemedik

PR · On-site

Join Our Team! | Business Analytics Specialist Are you passionate about data analysis and strategic decision-making? We are looking for a Business Analytics Specialist to support our Contact Center ...

Acumenian

PR · On-site

$11.25 - $15/hr

Generate reports and retrieve relevant information to support operational and analytical needs ... Manage data entry activities effectively to ensure timely completion of assigned tasks and ...

Acumenian

Data Entry

San Juan, PR

$11.25 - $15/hr

Generate reports and retrieve relevant information to support operational and analytical needs ... Manage data entry activities effectively to ensure timely completion of assigned tasks and ...

Consertus, Inc.

Data Entry

San Juan, PR · On-site

$16.75 - $22.25/hr

Generate reports and retrieve relevant information to support operational and analytical needs ... Manage data entry activities effectively to ensure timely completion of assigned tasks and ...

On Point Strategy LLC

PR · On-site

$16.25 - $21.25/hr

Analytics Engineering Intern Position Summary At On Point Strategy , we believe that data tells a story, and we make that story visible. We are looking for an Analytics Engineering Intern who is ...

New

Kelly Services

Sr Data Engineer - Scientist

Juncos, PR

$48/hr

Managing advanced analytics projects end-to-end, collaborating with business partners, manufacturing, supply chain, engineering, and data teams. * Identifying business needs, performing SWOT analysis ...

Validation & Engineering Group, Inc

PR

Support inventory analysis to define the scope of remediation across Operational Qualification (OQ ... This role will ensure data accuracy, completeness, and alignment with current validation and ...

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools and programming languages like SQL, Python, R, and visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication skills help you interpret data and present actionable insights clearly to stakeholders. These skills and qualities are crucial for transforming raw data into meaningful information that supports better business decisions.

What are some common challenges Data Analysts face when working with cross-functional teams?

Data Analysts often collaborate with stakeholders from various departments, such as marketing, finance, and product. One common challenge is translating complex data findings into actionable insights that are easily understood by non-technical team members. Additionally, aligning on business objectives and ensuring data accuracy across different sources can require strong communication and problem-solving skills. Building relationships and being proactive in clarifying requirements can help Data Analysts navigate these challenges and deliver valuable results.

What is a Data Analyst?

A Data Analyst is a professional who collects, processes, and analyzes data to help organizations make informed business decisions. They use statistical techniques and software tools to interpret complex data sets, identify trends, and generate actionable insights. Data Analysts often create reports, visualizations, and dashboards to communicate their findings to stakeholders. Their work supports strategic planning, problem-solving, and performance improvement across various industries.

What is the difference between Data Analyst Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, math, or related field; certifications like Microsoft Excel, SQLBachelor's or master's in computer science, statistics, or related; certifications in machine learning, Python, R
Work EnvironmentBusiness, finance, marketing teams; data reporting and visualizationResearch, development teams; predictive modeling and advanced analytics
Employer & Industry UsageWidely used across industries for data reportingMore common in tech, finance, and research sectors for complex data analysis

While both roles analyze data, Data Analysts focus on interpreting data to inform business decisions, whereas Data Scientists develop predictive models and advanced algorithms. The roles often overlap but differ in complexity and technical skills required.

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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 8 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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