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Data Analytics Jobs in Puerto Rico (NOW HIRING)

WORKSIMPLI SOFTWARE LLC

PR · On-site

$45K - $55K/yr

Experience with Google Analytics , Mixpanel , or similar web/product analytics platforms. * Ability to translate complex data into clear insights and actionable recommendations. * Excellent ...

CIS International LLC

PR

The Data Scientist will lead projects and collaborate with business partners including commercial ... This role will lead advanced analytics projects from the front and will be responsible for end to ...

New

Inteldot

Sr Data Scientist 35618

Juncos, PR · On-site

This role will lead advanced analytics projects from the front and will be responsible for end-to ... Data analytics and visualization. Ability to collect, organize, clean, analyze, and interpret ...

New

Premier Warranty

PR · On-site

Maestría en Business Analytics, Data Science, Estadística, Finanzas, Economía o un campo relacionado es preferible. * Mínimo de tres (3) años de experiencia en análisis de riesgos, business ...

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Data Analytics information

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

What are the most commonly searched types of Data Analytics jobs in Puerto Rico?

The most popular types of Data Analytics jobs in Puerto Rico are:

What are popular job titles related to Data Analytics jobs in Puerto Rico?

For Data Analytics jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Puerto Rico look for?

The top searched job categories for Data Analytics jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Data Analytics jobs?

Cities in Puerto Rico with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Puerto Rico as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 2% Temporary, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution.

Data Analytics Engineer (Puerto Rico)

Raytheon Technologies

Santa Isabel, PR • On-site

$103K - $124K/yr

Full-time

Medical, Life, Retirement

Posted 10 days ago

Job description

Date Posted:
2026-08-06
Country:
United States of America
Location:
US-PR-SANTA ISABEL-B1 ~ Felicia Industrial Park - St B1 ~ BLDG 1
Position Role Type:
Remote
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 RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.
The following position is to join our RTX Enterprise Services team in Santa Isabel, Puerto Rico:
The Data & Insights team in RTX Corporate is seeking a Data Analytics Engineer to develop reliable, scalable data and analytics solutions that improve business performance, operational efficiency, and decision-making. This role is responsible for integrating and transforming complex data from multiple sources, building trusted datasets and data pipelines, and applying analytical methods to solve business challenges. Working closely with stakeholders, the engineer will deliver data products, analytical solutions, and data models that drive informed decisions and support the team's AI/ML initiatives through data preparation, feature engineering, and scalable engineering solutions. The ideal candidate combines strong data engineering and analytical expertise with curiosity, critical thinking, and problem-solving skills, is comfortable navigating ambiguity, proactively partners with stakeholders to understand business needs, communicates complex data effectively to diverse audiences, and contributes technical leadership while owning projects from requirements through implementation in a fast-paced, collaborative environment.
What You Will Do
  • Design, build, and maintain reliable, scalable data pipelines, data models, and curated datasets supporting analytics, reporting, decision-making, and AI/ML applications.
  • Integrate, transform, standardize, and validate data from diverse and non-standard sources, including enterprise applications, spreadsheets, databases, text files, APIs, and operational data sources.
  • Develop and maintain data visualization, statistical analysis, reporting, and analytical solutions that improve understanding of enterprise and infrastructure data.
  • Establish and improve data quality, validation, monitoring, governance, documentation, and data management practices to ensure trusted and reusable data.
  • Work directly with customers and stakeholders to understand business and operational needs, identify opportunities for improvement, and translate requirements into practical data and analytical solutions.
  • Independently lead projects using appropriate software development and agile practices, from requirements and solution design through development, testing, implementation, and continuous improvement.
  • Develop and maintain technical and business documentation, including requirements, data definitions, process flows, use cases, user stories, technical designs, and operational procedures.
  • Provide data engineering and analytical support for AI/ML initiatives, including data preparation, feature development, dataset creation, experimentation support, evaluation, and integration of AI/ML outputs into operational solutions.
  • Collaborate with cross-functional teams across IT and operations while providing technical guidance, peer review, and mentoring to other members of the Data & Insights team.
  • Apply information security, information assurance, governance, privacy, and compliance requirements to all data, analytics, and AI/ML-related activities.
  • This position will reference written work instructions for guidance with daily job activities. Work instructions are available in English only.

Qualifications You Must Have
  • A University Degree or equivalent experience and minimum 8 years prior relevant experience, or an Advanced Degree in a related field and minimum 5 years experience
  • 5+ years of experience working in data engineering, data analytics, business intelligence, or a related technical discipline.
  • Experience working with Python and SQL, with hands-on experience using PySpark or comparable distributed data-processing technologies.
  • Demonstrated experience designing and developing production-quality data pipelines, data models, ETL/ELT processes, and data integration solutions.
  • Experience with data quality, data governance, data warehousing, data modeling, and modern cloud data architectures.
  • Experience analyzing complex datasets, developing meaningful metrics and visualizations, and translating findings into actionable insights and recommendations.
  • Experience independently owning technical projects and delivering solutions with limited day-to-day direction, including the ability to work through ambiguous or complex problems.
  • Experience preparing, structuring, and curating data to support machine learning, AI/ML, advanced analytics, or other data science applications.

Qualifications We Prefer
  • Experience with technologies such as Azure, Databricks, Snowflake, Delta Lake, Power BI, ServiceNow/ITSM data, Git/CI/CD, or machine learning platforms.
  • Strong problem-solving, communication, technical documentation, stakeholder-management, and cross-functional collaboration skills.

What We Offer
Whether you're just starting out on your career journey or are an experienced professional, we offer a robust total rewards package with compensation; healthcare, wellness, retirement and work/life benefits; career development and recognition programs. Some of the benefits we offer include parental (including paternal) leave, flexible work schedules, achievement awards, educational assistance and child/adult backup care.
Learn More & Apply Now!
Location: This position is remote. However, the successful candidate must be currently living in Puerto Rico.
Please consider the following role type definition as you apply for this role:
Remote: This position is currently designated as remote. Employees who are working in Remote roles will work primarily offsite (from home). The employee may be expected to travel to the Santa Isabel site location as needed.
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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