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Data Analytics Manager Jobs in Puerto Rico (NOW HIRING)

RTX

Data Analytics Engineer (Puerto Rico)

Santa Isabel, PR · On-site +1

$103K - $124K/yr

... management practices to ensure trusted and reusable data. * Work directly with customers and ... Provide data engineering and analytical support for AI/ML initiatives, including data preparation ...

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

This role will lead advanced analytics projects from the front and will be responsible for end to ... Excellent organization/planning skills and talent for managing many large and complex datasets.

New

QRC Group

Sr Data Scientist

Juncos, PR · On-site

$110 - $150/hr

Data analytics and visualization. * Ability to collect, organize, clean, analyze, and interpret ... to management and technical stakeholders. * Be available to support non-standard shift when ...

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 ... to management and technical stakeholders. * Be available to support non-standard shift when ...

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 ... to management and technical stakeholders. Be available to support non-standard shift when ...

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Data Analytics Manager information

What does a data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

What are the key skills and qualifications needed to thrive as a data analytics manager?

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

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 Manager jobs in Puerto Rico?

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

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

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

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Puerto Rico as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, 2% Temporary, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

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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