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Remote Healthcare Data Analyst Jobs in Puerto Rico

Julius 2 Grow

This role plays a critical technical function by connecting healthcare data with media and ... This is a fully remote role, collaborating closely with cross-functional teams across the US and ...

Consertus, Inc.

Jr. Data Analyst

San Juan, PR · On-site +1

... healthcare, energy, education, government, commercial, life sciences, and technology. At Consertus, we celebrate individual strengths, foster strong relationships, and promote flexibility in how and ...

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 ...

Deloitte

Hospital Billing Operator

San Juan, PR · Remote

$18 - $23/hr

Bachelor's degree in information technology, business, healthcare, or a related field; or ... Experience analyzing billing workflows, claim issues, or operational data For individuals assigned ...

Deloitte

Hospital Billing Coordinator

San Juan, PR · Remote

$50K - $60K/yr

Bachelor's degree in information technology, business, healthcare, or a related field; or ... Experience analyzing billing workflows, claim issues, or operational data For individuals assigned ...

Deloitte

Technical Program Manager

San Juan, PR · Remote

$126K - $163K/yr

Experience supporting clinical or healthcare business operations * Experience managing multiple ... Experience analyzing billing workflows, claim issues, or operational data For individuals assigned ...

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 ...

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Remote Healthcare Data Analyst information

What does a Remote Healthcare Data Analyst do?

A Remote Healthcare Data Analyst is responsible for collecting, processing, and analyzing healthcare data to help organizations make informed decisions. They work from a remote location, using data analytics tools to interpret trends, identify patterns, and generate reports that support healthcare providers, insurance companies, or government agencies. Their work helps improve patient outcomes, optimize operations, and ensure regulatory compliance. Strong analytical, technical, and communication skills are essential for this role.

Can you be a data analyst in healthcare?

Yes, a healthcare data analyst is a professional who analyzes medical and health data to improve patient outcomes, optimize operations, and support decision-making. They typically use tools like Excel, SQL, and statistical software, and often require knowledge of healthcare systems and data privacy regulations.

How to become remote healthcare data analyst?

To become a remote healthcare data analyst, you typically need a bachelor's degree in health informatics, data science, or a related field. Developing skills in data analysis tools like Excel, SQL, and statistical software, along with knowledge of healthcare systems and regulations, is essential. Gaining experience through internships or entry-level roles can also improve your chances of working remotely in this field.

How does a Remote Healthcare Data Analyst typically collaborate with clinical teams, and what tools are commonly used for effective remote communication?

Remote Healthcare Data Analysts frequently work with clinical teams to interpret data trends and support decision-making. Collaboration usually happens through virtual meetings, secure messaging platforms, and shared dashboards. Tools like Microsoft Teams, Slack, and HIPAA-compliant data sharing systems are commonly used to ensure secure and efficient communication. Building strong relationships and maintaining clear, consistent updates are key to overcoming the challenges of remote work and ensuring seamless teamwork.

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

To thrive as a Remote Healthcare Data Analyst, you need strong analytical skills, knowledge of healthcare data standards, and a degree in health informatics, statistics, or a related field. Experience with data analysis tools like SQL, Python, Excel, and familiarity with healthcare databases and HIPAA compliance are typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for presenting insights and collaborating remotely. These skills ensure accurate data interpretation, support evidence-based decisions, and facilitate secure, efficient operations in a virtual healthcare environment.

Is it possible to get a remote job as a data analyst?

Remote healthcare data analyst positions are widely available and often require skills in data management, statistical analysis, and tools like Excel, SQL, or Python. Many employers offer remote work options, especially in the healthcare industry, and some roles may require relevant certifications or experience in healthcare data systems.

Are healthcare data analyst jobs remote?

Many healthcare data analyst jobs are available as remote positions, especially with the increased adoption of telecommuting in the industry. These roles often require skills in data analysis tools like SQL, Excel, and visualization software, and may involve collaboration through virtual communication platforms. However, some positions may require on-site presence depending on the employer and project needs.
What are popular job titles related to Remote Healthcare Data Analyst jobs in Puerto Rico? For Remote Healthcare Data Analyst jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Remote Healthcare Data Analyst jobs in Puerto Rico look for? The top searched job categories for Remote Healthcare Data Analyst jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Remote Healthcare Data Analyst jobs? Cities in Puerto Rico with the most Remote Healthcare Data Analyst job openings:
Remote Healthcare Data Analyst jobs near you
Infographic showing various Remote Healthcare Data Analyst job openings in Puerto Rico as of June 2026, with employment types broken down into 6% As Needed, 68% Full Time, 17% Part Time, 3% Temporary, and 6% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% 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