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Remote Health Data Analyst Jobs in Puerto Rico (NOW HIRING)

Julius 2 Grow

Work Type: Full-time, permanent Location: 100% Remote Reporting Line: International teams in the US ... This role plays a critical technical function by connecting healthcare data with media and ...

Consertus, Inc.

Jr. Data Analyst

San Juan, PR · On-site +1

... transit, water, healthcare, energy, education, government, commercial, life sciences, and ... We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery ...

Abarca Health

Pharmacy Rebates Analyst

San Juan, PR · On-site

Abarca is igniting a revolution in healthcare. We built our company on the belief that with smarter ... You will proactively evaluate utilization and rebate data to identify opportunities to optimize ...

Abarca Health

Pharmacy Rebates Analyst

San Juan, PR · Remote

Abarca is igniting a revolution in healthcare. We built our company on the belief that with smarter ... You will proactively evaluate utilization and rebate data to identify opportunities to optimize ...

Cognizant Technology Solutions

... Remote Serve as a Senior Engineer - Execution Systems in a hybrid work environment, designing ... analytics. • Optimize data collection strategies by tuning sampling rates, compression, and ...

Cognizant Technology Solutions

Familiarity with SIMCA-Online or similar multivariate data analysis (MVDA) platforms ... Regardless of your working arrangement, we are here to support a healthy work-life balance though ...

Infotech Sourcing

Linguist III

PR · Remote

... Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic analyses on ... for data analysis are a plus. Must be able to independently work through complex requests and ...

Deloitte

Hospital Billing Operator

San Juan, PR · Remote

$18 - $23/hr

This is a primarily remote role supporting an enterprise Epic implementation, with minimal travel ... Experience analyzing billing workflows, claim issues, or operational data For individuals assigned ...

OncoHealth

Case Review Specialist - PR

Guaynabo, PR · On-site +1

Remote/hybrid experience preferred * A minimum of 2-4 years' administrative experience and/or ... health plans to use data and analytics to improve oncology programs. Using real world data, our ...

OncoHealth

Case Review Specialist - PR

Guaynabo, PR · On-site

Remote/hybrid experience preferred * A minimum of 2-4 years' administrative experience and/or ... health plans to use data and analytics to improve oncology programs. Using real world data, our ...

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Remote Health Data Analyst information

What Does a Remote Health Data Analyst Do?

The job duties of a remote health data analyst include performing analysis on datasets related to the healthcare industry. In this career, you may work from home to gather relevant data from different sources, such as medical records, operational logs, and billing databases. The responsibilities of a health data analyst include using data to define healthcare trends, seek out areas for cost reduction, and analyze the cost and effectiveness of treatments. As a telecommute worker, you send reports to healthcare management personnel electronically, and you may have to communicate with them to answer questions after report submission.

What is a Remote Health Data Analyst?

A Remote Health Data Analyst is a professional who works primarily from a remote location to collect, process, and analyze healthcare data. They use statistical tools and software to interpret data from medical records, insurance claims, patient surveys, and other health information sources. Their insights help healthcare organizations improve patient care, optimize operations, and ensure regulatory compliance. Remote Health Data Analysts often collaborate with medical staff, IT teams, and administrators using digital communication tools. This role requires strong analytical skills, attention to detail, and proficiency in data management systems.

How does a Remote Health Data Analyst typically collaborate with healthcare teams while working offsite?

Remote Health Data Analysts frequently collaborate with clinicians, IT professionals, and data scientists through digital communication tools such as video conferencing, secure messaging, and shared data platforms. Regular virtual meetings are common to discuss project progress, clarify data requirements, and ensure alignment on healthcare outcomes. While working remotely offers flexibility, it also requires proactive communication and strong organizational skills to manage multiple projects and maintain data security standards. Building trust and maintaining clear documentation are essential for effective remote teamwork in this role.

What are the key skills and qualifications needed to thrive as a Remote Health Data Analyst, and why are they important?

To thrive as a Remote Health Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and at least a bachelor's degree in health informatics, statistics, or a related field. Proficiency with data analysis tools such as SQL, Python, R, and experience with electronic health record (EHR) systems and data visualization platforms like Tableau or Power BI are typically required. Attention to detail, problem-solving abilities, and effective communication are vital soft skills for interpreting data and collaborating remotely with teams. These skills ensure accurate data insights, enable informed decision-making, and support the delivery of efficient healthcare services from a remote environment.
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What are popular job titles related to Remote Health Data Analyst jobs in Puerto Rico? For Remote Health Data Analyst jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Remote Health Data Analyst jobs in Puerto Rico look for? The top searched job categories for Remote Health Data Analyst jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Remote Health Data Analyst jobs? Cities in Puerto Rico with the most Remote Health Data Analyst job openings:
Remote Health Data Analyst jobs near you
Infographic showing various Remote Health Data Analyst job openings in Puerto Rico as of June 2026, with employment types broken down into 2% As Needed, 90% Full Time, and 8% Part Time. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Data Analyst Pharmaceutical Industry

Julius 2 Grow

Remote

Full-time

Posted 15 days ago

Job description

Work Type: Full-time, permanent
Location: 100% Remote
Reporting Line: International teams in the US and Europe
Language Requirement: Advanced English (must-have)
Time Zone Preference: US East Coast

Role Overview

We are seeking a highly analytical and detail-oriented Data Analyst to support pharmaceutical brand, commercial (marketing), and analytics teams. This role plays a critical technical function by connecting healthcare data with media and marketing insights to drive clear, actionable business outcomes.

The ideal candidate is comfortable working with complex and imperfect data, applies strong statistical reasoning, and can translate sophisticated analyses into compelling insights for both technical and non-technical stakeholders. This is a fully remote role, collaborating closely with cross-functional teams across the US and Europe.

Key Responsibilities

  • Perform advanced SQL-based data transformations, integrating multiple internal and external data sources (e.g., claims, media, CRM, EHR-derived datasets).

  • Define, validate, and govern metrics aligned with pharmaceutical business needs (e.g., brand performance, HCP engagement, patient journeys).

  • Apply statistical analysis to identify trends, key drivers, and ensure analytical rigor in recommendations.

  • Maintain and evolve analytical datasets and workflows as new data is ingested.

  • Conduct in-depth exploratory data analysis (EDA) to uncover patterns, anomalies, and opportunities within complex healthcare datasets.

  • Translate analytical findings into clear, actionable insights tailored to stakeholders across marketing, analytics, strategy, and leadership teams.

  • Manually clean, normalize, and structure data to ensure quality and analytical readiness for deep-dive analyses.

  • Prepare datasets to support advanced analytics, including exploratory and explanatory AI/ML applications.

  • Develop dashboards and data visualizations that clearly communicate insights and support decision-making.

  • Collaborate cross-functionally with data science, technology, media, strategy, and client-facing teams.

  • Document methodologies, assumptions, and data limitations to ensure transparency and reproducibility.

Required Qualifications

  • Bachelors degree in Analytics, Statistics, Mathematics, Data Science, Economics, or a related field.

  • 24 years of experience defining and validating metrics within the pharmaceutical, healthcare, or life sciences industry.

  • Strong SQL proficiency, including complex joins, transformations, and performance optimization.

  • Experience working with cloud data warehouses (e.g., BigQuery).

  • Solid foundation in statistics and analytical reasoning (trend analysis, hypothesis testing, segmentation).

  • Proven experience with exploratory data analysis and large, complex datasets.

  • Ability to simplify complex data and insights for diverse audiences.

  • Experience with data visualization tools (Tableau, Power BI, Looker, or similar).

  • Strong collaboration skills and experience working with cross-functional teams.

  • Advanced English communication skills (required).

Preferred Qualifications

  • Experience with pharmaceutical commercial or media data (claims, prescriptions, CRM, hub, or media datasets).

  • Familiarity with AI/ML concepts and data preparation for modeling.

  • Experience using Python or R for analytics and data manipulation.

  • Understanding of pharma compliance, privacy, and data governance.

  • Previous experience working remotely with distributed, international teams across multiple time zones.

Key Competencies

  • Strong analytical rigor and attention to detail

  • Business-oriented problem-solving mindset

  • Clear, concise communication skills

  • Comfort working with ambiguity and imperfect data

  • Curiosity and continuous learning mentality

  • Team-oriented and collaborative approach