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Remote 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 ...

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Remote Analyst information

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

A remote analyst can potentially earn $10,000 a month through high-level consulting, data analysis, or specialized financial roles that require strong analytical skills and experience. Success often depends on expertise, industry demand, and the ability to secure clients or contracts independently, rather than formal education alone.

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

To thrive as a Remote Analyst, you need strong analytical abilities, data interpretation skills, and a relevant degree in fields like business, finance, or data science. Familiarity with data analysis tools such as Excel, SQL, and business intelligence platforms, along with certifications like CBAP or CAP, is highly valued. Excellent communication, time management, and self-motivation are crucial soft skills for collaborating virtually and meeting deadlines independently. These skills ensure accurate insights, effective remote teamwork, and consistent productivity in a distributed work environment.

How can I make $2000 a week working from home?

A remote analyst can potentially earn $2000 a week by working full-time hours, often 40 or more hours, and gaining specialized skills in data analysis, reporting, or financial modeling. Increasing income may involve taking on multiple clients, freelance projects, or advanced certifications to command higher rates. Building a strong portfolio and utilizing remote job platforms can help find higher-paying opportunities.

How do Remote Analysts typically collaborate with team members and stakeholders across different locations?

Remote Analysts often work closely with cross-functional teams by leveraging digital collaboration tools like Slack, Zoom, and project management platforms. Regular virtual meetings, shared dashboards, and clear documentation are key to ensuring alignment and transparency. While working remotely can present challenges in communication and time zone differences, proactive updates and structured workflows help maintain productivity and strong working relationships with both immediate teams and external stakeholders.

What does a remote analyst do?

A remote analyst evaluates data, trends, and performance metrics to support decision-making for organizations. They often use tools like Excel, SQL, or data visualization software and may work independently or as part of a team, typically requiring strong analytical skills and attention to detail.

What Are Different Types of Remote Jobs For Analysts?

Some remote analyst jobs include positions like a remote business analyst, remote data analyst, and remote financial analyst. In a remote analyst job, you work from home using virtual tools to process data and provide a useful analysis of the results for your company. You may be asked to make judgments about the information, determine whether or not the company should finance a project, or evaluate the likely returns for a given course of action. You frequently use or program software to interact with a database and produce results. One of the most important parts of a remote analyst job is determining what questions are useful to ask and how to obtain the answers—most companies have plenty of data, but getting meaningful results from it requires a specialist.

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

AspectRemote AnalystRemote Data Analyst
Required CredentialsBachelor's in Business, Economics, or related field; basic analytical skillsBachelor's in Statistics, Mathematics, or related; proficiency in data tools
Work EnvironmentRemote, often in business or consulting settingsRemote, primarily in data-driven roles across industries
Employer & Industry UsageBusinesses, consulting firms, government agenciesTech companies, finance, healthcare, marketing
Common Search & ComparisonYesYes

The main difference between a Remote Analyst and a Remote Data Analyst lies in their focus and skill set. Remote Analysts typically work on business processes, strategy, and operational insights, while Remote Data Analysts specialize in analyzing data sets, creating reports, and deriving insights from data tools. Both roles are remote-friendly and share similar credentials, but their industry applications and daily tasks differ significantly.

How to make $80,000 a year working from home?

A remote analyst can earn $80,000 annually by gaining relevant skills such as data analysis, proficiency in tools like Excel or SQL, and obtaining certifications like CAP or Microsoft Certified Data Analyst. Building experience, specializing in high-demand industries, and working for companies that offer competitive salaries and remote work options are key factors in reaching this income level.

What is a Remote Analyst?

A Remote Analyst is a professional who analyzes data, trends, or processes for an organization while working from a location outside the traditional office, often from home. Their responsibilities typically include collecting and interpreting data, generating reports, and providing insights to help guide business decisions. Remote Analysts use digital tools to collaborate with colleagues and stakeholders, ensuring effective communication despite physical distance. This role is common in fields like finance, market research, data analysis, and business intelligence.
More about Remote Analyst jobs
What are the most commonly searched types of Analyst jobs in Puerto Rico? The most popular types of Analyst jobs in Puerto Rico are:
What are popular job titles related to Remote Analyst jobs in Puerto Rico? For Remote Analyst jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Remote Analyst jobs in Puerto Rico look for? The top searched job categories for Remote Analyst jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Remote Analyst jobs? Cities in Puerto Rico with the most Remote Analyst job openings:
Remote Analyst jobs near you

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