ZipRecruiter

Log In

1

From Home Data Analytics Jobs in Puerto Rico (NOW HIRING)

RTX

Data Analytics Engineer (Puerto Rico)

Santa Isabel, PR · On-site +1

$103K - $124K/yr

  • Medical

  • Life

  • Retirement

The Data & Insights team in RTX Corporate is seeking a Data Analytics Engineer to develop reliable ... Employees who are working in Remote roles will work primarily offsite (from home). The employee may ...

Collins Aerospace

Sr. Data Analyst (Puerto Rico)

Santa Isabel, PR · Remote

$77K - $97K/yr

  • Medical

  • Life

  • Retirement

... Data Analytics role. * 2+ years of experience working with Microsoft Office (Excel, Powerpoint ... Employees who are working in Remote roles will work primarily offsite (from home). The employee may ...

WORKSIMPLI SOFTWARE LLC

PR · On-site

$45K - $55K/yr

  • Medical

  • PTO

Collect, clean, and analyze data from internal systems (databases, product usage, marketing tools, etc.). * Build dashboards and visualizations that provide insight into KPIs, user engagement, and ...

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

$90 - $130/hr

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

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 ...

QRC Group

Sr Data Scientist

Juncos, PR · On-site

$110 - $150/hr

Data analytics and visualization. * Ability to collect, organize, clean, analyze, and interpret complex operational or manufacturing data. Experience with tools such as Excel, Power BI, Smart- sheet ...

next page

Showing results 1-20

All JobsData Analytics JobsFrom Home Data Analytics JobsFrom Home Data Analytics Jobs in Puerto Rico

From Home Data Analytics information

Is data analytics a good career for remote work?

Data analytics is well-suited for remote work because many tasks involve analyzing digital data, using tools like Excel, SQL, and visualization software. The role often offers flexible schedules and requires strong communication skills for collaboration, making it a viable option for remote employment.

What are the key skills and qualifications needed to thrive as a work from home data analyst?

To thrive as a Work-From-Home Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or data science. Experience with technical tools like SQL, Excel, Python, R, and data visualization platforms (e.g., Tableau or Power BI) is typically required. Excellent communication, self-motivation, and time management skills help remote analysts collaborate effectively and deliver insights independently. These competencies ensure accurate data interpretation, effective remote teamwork, and impactful business decision-making.

What is a work from home data analyst?

A work from home data analyst is a professional who collects, processes, and interprets data to help organizations make informed decisions—all while working remotely. They use statistical tools and software to analyze large datasets, identify trends, and create reports or visualizations. These analysts often collaborate with teams through digital communication platforms and can work in a variety of industries, such as finance, healthcare, or marketing. The flexibility of remote work allows them to perform their tasks from any location with a reliable internet connection.

What is the difference between From Home Data Analytics vs From Home Data Analyst?

AspectFrom Home Data AnalyticsFrom Home Data Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related field; proficiency in analytics toolsBachelor's in Data Science, Analytics, or related field; proficiency in analytics tools
Work EnvironmentRemote, often project-based or consulting rolesRemote, typically in corporate or consulting settings
Employer & Industry UsageTech companies, consulting firms, finance, healthcareTech companies, finance, marketing, healthcare
Common Search & ComparisonYesYes

From Home Data Analytics involves analyzing data remotely across various industries, often focusing on strategic insights. From Home Data Analyst typically performs data analysis tasks remotely within specific organizations, focusing on reporting and operational insights. Both roles require similar skills and credentials but differ slightly in scope and industry application.

How do remote data analytics professionals typically collaborate with team members and stakeholders while working from home?

Remote data analytics professionals often use a combination of video meetings, instant messaging, and collaborative platforms to stay connected with their teams and stakeholders. Regular virtual stand-ups, shared dashboards, and cloud-based project management tools help ensure transparency and real-time updates on projects. Effective communication and proactive sharing of insights are important for building trust and ensuring that data-driven recommendations are clearly understood and implemented by business partners. While remote, you'll need to be comfortable with both asynchronous and synchronous collaboration to keep projects on track.

Can you work from home in data analytics?

Data analytics jobs, including roles like data analyst or data scientist, often offer remote work options, especially with the increased adoption of digital collaboration tools. Many employers allow data professionals to work from home, provided they have a reliable internet connection, proficiency with analytics software, and good communication skills. However, some positions may require on-site presence for meetings or data collection, so job specifics vary by employer.

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 From Home Data Analytics jobs in Puerto Rico?

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

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

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

From Home Data Analytics jobs near you

Data Analytics Engineer (Puerto Rico)

Raytheon Technologies

Santa Isabel, PR • On-site

$103K - $124K/yr

Full-time

Medical, Life, Retirement

Posted 11 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.
Privacy Policy and Terms:
Click on this link to read the Policy and Terms

Apply