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Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

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

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

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

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

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

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

Data Engineer Data Analyst jobs near you

Business Analyst, Data & Insights (Puerto Rico)

Raytheon Technologies

Santa Isabel, PR • On-site

Full-time

Medical, Life, Retirement

Posted 19 days ago

Job description

Date Posted:
2026-07-29
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 looking for a Business Analyst focused on the development and deployment of data-driven systems solutions designed to improve performance in the planning and execution of our business. The ideal candidate needs to be passionate about proper data engineering standards with analytical mindset to drive action through facts and data, possess the ability to effectively organize and distill data, proactively ask appropriate questions to understand the customer's requests, and translate that into executable requirements and project plans. The candidate will have the opportunity to build strong partnerships and networks across the organization and grow as in a fast-paced environment.
What You Will Do
  • Analyze current business processes and documentation, identify areas for improvement, and recommend solutions to enhance efficiency and effectiveness.
  • Develop and maintain comprehensive documentation, including business requirements, process flows, use cases, and user stories.
  • Conduct detailed requirements gathering sessions with stakeholders to understand business needs and translate them into functional specifications.
  • Collaborate with cross-functional teams, including IT and operations, to ensure alignment of business requirements with technical solutions.
  • Develop and implement governance policies and procedures to ensure compliance with organizational standards.
  • Collaborate to translate requirements and policies into implementation roadmaps
  • Provide support during the implementation of new systems and processes, including user training and change management.
  • Ensure the rigorous application of information security and information assurance policies, principles, and practices to business analysis 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 5 years prior relevant experience, or an Advanced Degree in a related field and minimum 3 years experience.
  • Minimum of 3 years' experience as a Business Analyst or similar role, with a focus on customer interaction, requirements gathering and governance.
  • Experience working with Power BI

Qualifications We Prefer
  • Keen understanding of business process analysis and improvement methodologies.
  • Excellent organizational and project management skills.
  • Ability to analyze data and generate reports to inform decision-making.
  • Strong oral and written communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
  • Experience with Scrum/Agile software development process.
  • Experience in Service Now.

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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