ZipRecruiter

Log In

1

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

Alivia Health

PR · 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 ...

Alivia Health

PR · 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 ...

Pharmpix

PR · 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 ...

Validation & Engineering Group, Inc

PR

$59K - $60K/yr

Computer Science / Information Systems * Life Sciences (Biology, Chemistry, Microbiology) * 0-2 ... Data Integrity (ALCOA+) * CSV/CSA concepts * Familiarity with: * Microsoft Office (Excel, Word ...

Validation & Engineering Group, Inc

PR

$57K - $58K/yr

Computer Science / Information Systems * Life Sciences (Biology, Chemistry, Microbiology) * 0-2 ... Data Integrity (ALCOA+) * CSV/CSA concepts * Familiarity with: * Microsoft Office (Excel, Word ...

Pwc

ERP AI Engineer - Senior Associate

San Juan, PR · On-site

$77K - $202K/yr

... Data Processing/Analytics/Science, Software Engineering preferred - Experience with LLMs, prompt engineering, and orchestration tools - Experience with multi-agent frameworks and agentic AI patterns ...

next page

Showing results 1-20

All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Puerto Rico

Data Analyst Data Science information

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

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 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

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.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

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 the key skills and qualifications needed to thrive as a Data Analyst in Data Science, and why are they important?

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.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What job categories do people searching Data Analyst Data Science jobs in Puerto Rico look for? The top searched job categories for Data Analyst Data Science jobs in Puerto Rico are:
Data Analyst Data Science jobs near you

BUSINESS ANALYST

Alivia Health

PR • On-site

Full-time

Posted 20 days ago

Job description

Location: Guaynabo, PR

Alivia Specialty Pharmacy Business Excellence Department oversees and handles successful implementations of strategic projects and accurate execution of the data contracts, to contribute to the organization’s growth and its operational development.

At present, the Business Analyst under this business unit, shall:

  • Develop and execute reporting for Alivia Specialty Pharmacy (ASP).
  • Execute Limited Drug Distribution (LDD) Report testing.
  • Generate work capacity assessments for ASP business units.
  • Responsible for participating in companies must win battle & strategic projects to ensure they are completed in a timely fashion, and in compliance with contract regulations while keeping participants informed throughout the process.
  • Interact with internal ASP employees, Management and Executive team to identify the relevant information needed to execute project tasks, and provide solutions, whether it be providing reports regularly or educating end-users on how to interpret existing reports.
  • Conduct detailed data analysis on data used across ASP business units.
  • Respond to data related inquiries in real-time to support business units and the ASP team.
  • 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, Reporting, Data Management, Technology Support, are preferred.Intermediate to advanced experience with at least (3) of the following programs, Excel, Power Query, SQL Server, or Power BI, is required.
  • Must be able to communicate effectively (read, speak, and write) in English and Spanish. Must be able to prepare and deliver business presentations with the proper terminology and data.

***Equal Opportunity Employer F/M/V/D/S/A***