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Data Analyst Data Science Jobs in Puerto Rico (NOW HIRING)

SAP Data Engineer (Puerto Rico)

Santa Isabel, PR ยท Hybrid

$103K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Together, we push the boundaries of known science and find new ways to connect and protect our ... Partner with analytics teams to deliver semantic models for SAC, or other BI tools. * Assist with ...

PR ยท On-site

Computer Sciences; Data Analysis, Reporting, Data Management, Technology Support, are preferred.Intermediate to advanced experience with at least (3) of the following programs, Excel, Power Query ...

PR ยท On-site

Computer Sciences; Data Analysis, Reporting, Data Management, Technology Support, are preferred.Intermediate to advanced experience with at least (3) of the following programs, Excel, Power Query ...

PR ยท On-site

Perform data analysis by collecting and analyzing data & patterns, presenting findings, facilitating informed decision-making and problem resolution. * Prepare reports, analysis, and presentations ...

Data Science * Supervise data extraction and data analysis from internal and external systems. * Partner with TMCC to address data and reporting needs. * Supervise development, management, and ...

Showing results 41-60

Data Analyst Data Science information

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

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

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

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

Advisor, Customer Intelligence (Customer Insights & Strategy)

Oriental Financial Services LLC

San Juan, PR โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

The Advisor, Customer Intelligence presents insights to Business Units by translating complex data models and analytics into clear, actionable business language. The role is responsible for designing and developing visualizations that effectively communicate customer behavior, model results, deepening strategies, and key performance insights to stakeholders.
This role plays a critical part in bridging data and business by transforming analytics into actionable strategies that drive customer engagement and growth. The Advisor partners closely with Data Science and Business teams to ensure insights are clearly communicated, adopted, and translated into measurable business impact. Position works mostly remote but occasional visits to the office in San Juan, PR may be required.
MAIN DUTIES & RESPONSIBILITIES:
  • Translate data model outputs and analytical findings into clear, business-friendly insights to support strategic decision-making.
  • Serve as a liaison between Data Science and Business teams to align technical capabilities with business needs and priorities.
  • Design, develop, and maintain dashboards and visualizations that communicate customer insights, model performance, and key business metrics.
  • Administer insights management and engagement platforms, including configuration, maintenance, and development of custom insights to support customer strategies.
  • Collaborate with Customer Intelligence and cross-functional teams to convert data insights into actionable customer engagement and growth initiatives.
  • Present analytical findings and recommendations to management, translating technical results into business impact and opportunities.
  • Identify, report, and track data-related incidents across systems, ensuring resolution, testing, and validation to maintain data integrity.
  • Monitor dashboard performance and data accuracy, identifying issues and validating solutions to ensure reliable business intelligence outputs.
  • Other duties may be assigned.

MINIMUM REQUIREMENTS:
  • Bachelor's degree in Business Administration, Marketing, Data Analytics, or a related field required.
  • Three (3+) years of experience in data analytics, business intelligence, or similar roles, including hands-on experience with data visualization tools required.
  • Minimum education and experience required can be substituted with the equivalent combination of education, training and experience that provides the required knowledge skills and abilities.
  • Experience bridging technical and business teams, translating analytical outputs into actionable business insights strongly preferred.
  • Experience in the banking or financial services industry preferred.
  • Strong data visualization skills with proficiency in Power BI, Tableau, or similar tools required.
  • Advanced proficiency in MS Office tools, including Excel (Power Query, Power Pivot), and PowerPoint required.
  • Strong analytical and problem-solving skills with the ability to interpret complex data models and generate actionable insights.
  • Excellent communication and presentation skills, with the ability to translate technical concepts into clear business language for diverse audiences.
  • Advanced bilingual proficiency (English and Spanish), both written and verbal, required.

WORK AUTHORIZATION & ELEGIBILITY:
  • Legally authorized to work in the US is required. This position is of indefinite duration and requires candidates to have permanent or ongoing work authorization.
  • Employee is responsible for maintaining eligible work authorization throughout his tenure with the organization.

Oriental is an Equal Opportunity Employer (EEO/Affirmative Action for Veterans/Workers with Disabilities)
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