ZipRecruiter

Log In

2

Hourly Remote 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 ... US East Coast Role Overview We are seeking a highly analytical and detail-oriented Data Analyst to ...

Consertus, Inc.

Jr. Data Analyst

San Juan, PR · On-site +1

We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery of high-impact services across assigned projects and engagements. This role requires strong ...

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 ...

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 ...

Cognizant Technology Solutions

Familiarity with SIMCA-Online or similar multivariate data analysis (MVDA) platforms ... Based on this role's business requirements, this is a remote position open to qualified applicants ...

Deloitte

Hospital Billing Operator

San Juan, PR · Remote

$18 - $23/hr

Experience analyzing billing workflows, claim issues, or operational data For individuals assigned and/or hired to work in a remote role, Deloitte is required by law to include a reasonable estimate ...

OncoHealth

Case Review Specialist - PR

Guaynabo, PR · On-site +1

Remote/hybrid experience preferred * A minimum of 2-4 years' administrative experience and/or ... Using real world data, our engineers normalize data to create analytic dashboards with drill down ...

OncoHealth

Case Review Specialist - PR

Guaynabo, PR · On-site

Remote/hybrid experience preferred * A minimum of 2-4 years' administrative experience and/or ... Using real world data, our engineers normalize data to create analytic dashboards with drill down ...

OncoHealth

Case Review Specialist - PR

Guaynabo, PR · On-site

Remote/hybrid experience preferred * A minimum of 2-4 years' administrative experience and/or ... Using real world data, our engineers normalize data to create analytic dashboards with drill down ...

next page

Showing results 1-20

All JobsHourly Remote Data Analyst JobsHourly Remote Data Analyst Jobs in Puerto Rico

Hourly Remote Data Analyst information

What are Hourly Remote Data Analysts?

Hourly Remote Data Analysts are professionals who work from a remote location to analyze data for organizations, typically on an hourly wage basis. Their responsibilities often include collecting, cleaning, and interpreting data to help businesses make informed decisions. They use statistical tools and software to identify trends, generate reports, and provide actionable insights. Working remotely allows them flexibility, while being paid hourly means their compensation is based on the time spent on tasks rather than a fixed salary.

What is the difference between Hourly Remote Data Analyst vs Hourly Remote Data Scientist?

AspectHourly Remote Data AnalystHourly Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQLBachelor's or higher in Data Science, Computer Science, or related; certifications in Python, R, or machine learning
Work EnvironmentRemote, project-based, often in business or marketing sectorsRemote, research-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data interpretation for decision-makingUsed by organizations developing models, algorithms, and advanced analytics

While both roles involve working with data remotely, data analysts focus on interpreting data to inform business decisions, whereas data scientists develop models and algorithms for deeper insights. The roles share similar credentials but differ in complexity and scope.

How does working as an hourly remote data analyst impact collaboration with team members and project managers?

As an hourly remote data analyst, you’ll typically collaborate with cross-functional teams using digital communication tools like Slack, Zoom, and project management platforms. While you may have flexibility in your work hours, it’s important to align your availability with key team meetings and project deadlines. Clear communication and proactive status updates help ensure smooth collaboration and project success. You may also be expected to document your work thoroughly, making it easy for teammates in different time zones to understand your analyses and findings.

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

To thrive as an Hourly Remote Data Analyst, you need strong analytical skills, data interpretation abilities, and proficiency with data management, often supported by a relevant degree or equivalent experience. Familiarity with technical tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically required. Exceptional attention to detail, time management, and clear remote communication are crucial soft skills for this role. These competencies enable effective data-driven decision-making, reliable remote collaboration, and high productivity in a flexible working environment.
What are the most commonly searched types of Remote Data Analyst jobs in Puerto Rico? The most popular types of Remote Data Analyst jobs in Puerto Rico are:
What are popular job titles related to Hourly Remote Data Analyst jobs in Puerto Rico? For Hourly Remote Data Analyst jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Hourly Remote Data Analyst jobs in Puerto Rico look for? The top searched job categories for Hourly Remote Data Analyst jobs in Puerto Rico are:
Hourly Remote Data Analyst jobs near you
Infographic showing various Hourly Remote Data Analyst job openings in Puerto Rico as of June 2026, with employment types broken down into 2% Locum Tenens, 2% As Needed, 43% Full Time, 50% Part Time, and 3% Contract. Highlights an 84% Physical, 7% Hybrid, and 9% Remote job distribution.

Data Analyst Pharmaceutical Industry

Julius 2 Grow

Remote

Full-time

Posted 14 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