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Home Based Data Analyst Jobs in Puerto Rico (NOW HIRING)

Julius 2 Grow

Perform advanced SQL-based data transformations, integrating multiple internal and external data ... Apply statistical analysis to identify trends, key drivers, and ensure analytical rigor in ...

WORKSIMPLI SOFTWARE LLC

PR · On-site

$45K - $55K/yr

???? Data Analyst ???? Location: San Juan, Puerto Rico (Hybrid - Remote Wednesdays) ???? Job Type ... based in San Juan, Puerto Rico, creating intuitive tools that make work more efficient. Our ...

Consertus, Inc.

Jr. Data Analyst

San Juan, PR · On-site

We are looking for a driven Jr. Data Analyst to join our consulting team and support the delivery ... based on research, technology applications, and evolving market trends. You will contribute to the ...

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 ... based on research, technology applications, and evolving market trends. You will contribute to the ...

Acumenian

PR · On-site

... Jr. Data Analyst to join our consulting team and support the delivery of high-impact services ... based on research, technology applications, and evolving market trends. You will contribute to the ...

Consertus, Inc.

Junior Integration Developer

Guaynabo, PR

$67K - $87K/yr

... based data environment. This role offers hands-on experience, mentorship, and opportunities to ... Work closely with data engineering and analytics teams to support BigQuery and Cloud Storage ...

Consertus, Inc.

Junior Integration Developer

Guaynabo, PR · On-site

$67K - $87K/yr

... based data environment. This role offers hands-on experience, mentorship, and opportunities to ... Work closely with data engineering and analytics teams to support BigQuery and Cloud Storage ...

Consertus, Inc.

Junior Integration Developer

San Juan, PR

$65K - $85K/yr

... based data environment. This role offers hands-on experience, mentorship, and opportunities to ... Work closely with data engineering and analytics teams to support BigQuery and Cloud Storage ...

Hewlett Packard Enterprise

Cloud Data Engineer

Aguadilla, PR · Hybrid

$102K - $122K/yr

Experience with developing Generative-AI and Agentic AI based applications with at least 1 year of relevant experience * Experience with managing and analyzing large data sets * Experience with ...

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Home Based Data Analyst information

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

To thrive as a Home Based Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or economics. Experience with technical tools like SQL, Excel, Python, and data visualization platforms (e.g., Tableau or Power BI) is crucial, along with knowledge of remote collaboration software. Excellent attention to detail, problem-solving ability, and clear communication help you interpret data accurately and present actionable insights to stakeholders. These skills ensure you can independently manage, analyze, and report data effectively while collaborating remotely with teams and clients.

How to make $100,000 a year working from home?

A home-based data analyst can reach a $100,000 annual income by gaining advanced skills in data analysis, programming, and tools like SQL, Python, or R, and obtaining relevant certifications. Building a strong portfolio, gaining experience, and working with high-paying clients or companies can also help achieve this income level, often through freelance work or full-time remote positions with competitive salaries.

How do home-based data analysts typically collaborate with team members while working remotely?

Home-based data analysts often use a variety of digital tools to stay connected and collaborate with their teams, such as project management platforms, instant messaging apps, and video conferencing software. Regular virtual meetings and real-time document sharing are common practices to ensure alignment on projects and data-driven decisions. Effective communication skills and proactive reporting help maintain transparency and foster teamwork despite the physical distance. By leveraging cloud-based analytics platforms, analysts can seamlessly share insights and work jointly on datasets with colleagues across different locations.

How can I make 2000 a week working from home?

A home-based data analyst can earn $2,000 a week by taking on multiple freelance or contract projects, increasing their hourly rate through specialized skills like SQL or Python, and building a strong client base. Consistent work, efficient time management, and advanced data analysis tools can help achieve this income level.

What is a Home Based Data Analyst?

A Home Based Data Analyst is a professional who works remotely from their home to collect, process, and analyze data to help organizations make informed decisions. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. The role typically involves working with large volumes of data, ensuring data quality, and presenting findings to stakeholders. Home Based Data Analysts must have strong analytical skills, attention to detail, and proficiency in data analysis software such as Excel, SQL, or Python. Remote data analysts often collaborate with teams and clients virtually.

Can you work from home as a data analyst?

Home-based data analysts perform their job remotely, analyzing data sets, creating reports, and using tools like Excel, SQL, or data visualization software from their own location. Many companies offer remote data analyst positions, often requiring strong communication skills and proficiency with data tools. Flexibility in schedule and self-management are common in remote roles, but some positions may require occasional in-office meetings or specific certifications.

What job makes $10,000 a month without a degree?

A home-based data analyst can potentially earn $10,000 or more per month through freelance projects, consulting, or high-demand skills like data visualization and SQL. Success depends on experience, client base, and the ability to deliver valuable insights independently, often requiring strong analytical skills and self-motivation.
What are the most commonly searched types of Data Analyst jobs in Puerto Rico? The most popular types of Data Analyst jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Home Based Data Analyst jobs? Cities in Puerto Rico with the most Home Based Data Analyst job openings:
Home Based Data Analyst jobs near you
Infographic showing various Home Based Data Analyst job openings in Puerto Rico as of June 2026, with employment types broken down into 85% Full Time, and 15% Part Time. 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