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Online Data Analytics Jobs in Puerto Rico (NOW HIRING)

WORKSIMPLI SOFTWARE LLC

PR · On-site

$45K - $55K/yr

Our platform PDFSimpli.com is one of the top-ranked document editing tools online, helping millions streamline their workflows. We are expanding our data team and seeking a Data Analyst to turn data ...

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 ...

Alivia Health

PR · On-site

Perform various data analytics in SQL and MS Excel using statistical models or industry accepted tools Requirements: * A minimum of 3-4 years of work experience in; Computer Sciences; Data Analysis ...

Alivia Health

PR · On-site

Perform various data analytics in SQL and MS Excel using statistical models or industry accepted tools Requirements: * A minimum of 3-4 years of work experience in; Computer Sciences; Data Analysis ...

Kelly Services

PR

$48/hr

This role drives advanced analytics, machine learning, and AI initiatives across manufacturing and ... Access to more than 3,000 online training courses through our Kelly Learning Center * Bi -weekly ...

New

Validation & Engineering Group, Inc

PR

Data Scientist Description: SUMMARY The Data Scientist will lead projects and collaborate with ... This role will lead advanced analytics projects from the front and will be responsible for end to ...

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Online Data Analytics information

What is online data analytics?

Online data analytics refers to the process of collecting, processing, and analyzing data that is generated through online platforms, such as websites, social media, and digital marketing channels. Professionals in this field use specialized tools and techniques to interpret large datasets, identify trends, and provide actionable insights to help businesses improve their online strategies. The role often involves using software like Google Analytics, Python, and SQL to manage and visualize data. Online data analytics is crucial for optimizing digital campaigns, understanding user behavior, and making data-driven decisions.

What are the key skills and qualifications needed to thrive as an online data analyst?

To thrive as an Online Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau or Power BI is typically required, along with certifications like Google Data Analytics. Critical thinking, attention to detail, and effective communication are essential soft skills for translating data insights into actionable business recommendations. These abilities are vital for driving data-informed decisions and delivering value to organizations in digital environments.

How do online data analysts typically collaborate with other departments to drive business decisions?

Online data analysts often work closely with teams such as marketing, product development, and IT to interpret data trends and translate findings into actionable strategies. Regular cross-functional meetings and project-based collaborations are common, ensuring that analytical insights align with business goals. Effective communication skills are essential, as analysts must present complex data in a clear, concise manner to non-technical stakeholders. This collaborative approach not only enhances decision-making but also provides analysts with a broader understanding of business operations.

What is the difference between Online Data Analytics vs Data Analyst?

AspectOnline Data AnalyticsData Analyst
Required CredentialsBachelor's in Data Science, Analytics, or related fields; proficiency in analytics toolsBachelor's in Statistics, Mathematics, or related fields; proficiency in data tools
Work EnvironmentRemote or online platforms, often freelance or contract-basedOffice or corporate settings, sometimes remote
Employer & Industry UsageTech companies, e-commerce, digital marketingFinance, healthcare, consulting firms
Common Search & Comparison IntentUnderstanding online analytics roles, freelance opportunitiesTraditional data analysis careers, job requirements

Online Data Analytics focuses on analyzing digital data through online platforms, often in freelance or remote settings. Data Analysts typically work in corporate environments with a broader scope of data types. Both roles require similar skills and educational backgrounds but differ mainly in work environment and industry focus.

Can I become an online data analyst?

Online data analysts analyze data to help organizations make informed decisions and often work remotely. They typically need skills in data analysis tools like Excel, SQL, or Python, and may pursue certifications such as the Microsoft Certified Data Analyst Associate or Google Data Analytics Certificate to enhance their qualifications.

Can I work online as an online data analyst?

Yes, online data analyst roles are common and often involve remote work, allowing professionals to analyze data, create reports, and use tools like Excel, SQL, or Python from any location. Many companies offer flexible schedules and require skills in data visualization and statistical analysis.

Can you work remotely in online data analytics?

Online data analytics roles are often suitable for remote work, as they primarily involve computer-based tasks such as data collection, analysis, and reporting. Many employers offer remote or flexible schedules, especially for professionals skilled in tools like SQL, Python, or Tableau. However, some positions may require on-site collaboration or access to specific company systems.

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:

Online 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.
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