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

Syndeo,-LL

Data Engineer

Carolina, PR · On-site

$60 - $80/hr

This role is foundational to the Data Science layer of Artyfica, working closely with the Data Analyst, Data Scientists, Product Owner, and Scrum Master to keep the ecosystem's intelligence layer ...

BioPharma Consulting JAD Group

Sr Data Scientist

Juncos, PR · On-site

$125 - $150/hr

This role drives end‑to‑end execution of data science projects, builds high‑impact analytical solutions, and delivers measurable business value through machine learning, artificial intelligence ...

ECHO Consulting Group

Sr Data Scientist

Juncos, PR · On-site

$100 - $125/hr

This role will innovate and create significant business impact through the strategic use of advanced analytics techniques. Responsibilities : * Leading, using and developing data science, machine ...

Consertus, Inc.

Jr. Data Analyst

San Juan, PR · On-site

... sciences, and technology. At Consertus, we celebrate individual strengths, foster strong ... We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery ...

Consertus, Inc.

Jr. Data Analyst

San Juan, PR

... sciences, and technology. At Consertus, we celebrate individual strengths, foster strong ... We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery ...

Consertus, Inc.

Jr. Data Analyst

San Juan, PR · On-site

$60 - $80/hr

We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery ... A Bachelor's degree in Engineering, Mathematics, Computer Science, Information Management, or ...

Vast

Data Scientist

San Juan, PR · On-site

$95K - $165K/yr

You can tell which questions need a rigorous answer and which need a good-enough answer by Thursday. * 3+ years in data science, analytics engineering, or quantitative analysis with real operational ...

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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:

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

Data Engineer

Syndeo,-LL

Carolina, PR • On-site

$60 - $80/hr

Other

Posted 5 days ago

Key responsibilities

  • Design, build, and maintain ETL/ELT pipelines that ingest data from core services and the iConnect interoperability engine

  • Build and evolve data warehouse and data lake models that unify clinical and financial data for Data Science consumption

  • Establish and enforce data quality, integrity, lineage, and governance standards across all pipelines

Job description

Salary Range: $65,000.00 To $70,000.00 Annually

Description:

Syndeo's Data Science practice combines clinical and financial data into a single, automated view of the pathology business, a capability that sets our platform apart. We are looking for a Data Engineer to build and operate the pipelines that make this possible, pulling structured and unstructured data out of Artyfica's core services (LAB, RCM, CRM) and the iConnect interoperability engine, and turning it into governed, analytics-ready datasets. This role is foundational to the Data Science layer of Artyfica, working closely with the Data Analyst, Data Scientists, Product Owner, and Scrum Master to keep the ecosystem's intelligence layer fast, trustworthy, and scalable.

Responsibilities of the job include:
  • Design, build, and maintain ETL/ELT pipelines that ingest data from Artyfica's core services (LAB, RCM, CRM) and the iConnect interoperability engine
  • Build and evolve data warehouse and data lake models that unify clinical and financial data for Data Science consumption
  • Establish and enforce data quality, integrity, lineage, and governance standards across all pipelines
  • Partner with Data Analysts and Data Scientists to expose clean, curated, well-documented datasets for reporting and modeling
  • Optimize pipeline performance and scalability as data volume and organizational onboarding grows
  • Implement monitoring and alerting to proactively catch pipeline failures or data quality issues
  • Collaborate with the Software Development team to align data schemas with Artyfica's service-oriented architecture
  • Maintain data catalogs and documentation for all pipelines and datasets
  • Support ingestion of HL7, FHIR, X12, and BAI2 (BTRS) data structures arriving through iConnect
Required skills:
  • Proficient in Python and/or Java for data engineering work
  • Strong SQL skills and hands-on experience with relational databases (Postgres preferred)
  • Experience with ETL/ELT design and orchestration tools (e.g., Airflow or equivalent)
  • Solid understanding of data warehousing and data lake concepts and dimensional modeling
  • Working knowledge of data governance principles and secure handling of protected health information (PHI)
  • Proficient with Git and version control workflows
  • Comfortable operating within Agile Scrum and Kanban practices
  • Logical thinker with strong analytical and problem-solving skills
  • Written and verbal communication skills in both Spanish and English
Desired skills:
  • Experience with healthcare interoperability standards: HL7, FHIR, X12, BAI2
  • Exposure to cloud or analytics platforms such as Snowflake, ClickHouse, or Trino
  • Prior experience integrating financial and clinical data domains
  • Familiarity with streaming or event-driven pipelines (e.g., Kafka)
  • Experience with Docker and containerized data services
Qualifications and training:
  • Bachelor's Degree in Computer Science, Data Engineering, or a related field
  • 3+ years of experience in data engineering
  • Experience with healthcare, RCM, or laboratory data preferred
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