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Remote Google 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 ...

TransPerfect

SEO Specialist

San Juan, PR · Remote

... the digital data analyst to set up performance monitoring dashboards and deliver monthly ... Google Search Console and Web Analytics platforms (Google Analytics and/or Omniture) DESIRED SKILLS ...

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 ...

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Remote Google Data Analyst information

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

To thrive as a Remote Google Data Analyst, you need strong analytical skills, proficiency in data visualization, and a background in statistics or a related field, often supported by a relevant degree or Google Data Analytics Certificate. Familiarity with tools such as Google Analytics, BigQuery, SQL, Tableau, and Excel is crucial for managing and interpreting large datasets. Excellent communication, problem-solving, and self-motivation enable effective collaboration and independent work in a remote setting. These skills ensure accurate data-driven insights, clear reporting, and successful teamwork across distributed teams.

How does a Remote Google Data Analyst typically collaborate with team members across different time zones?

As a Remote Google Data Analyst, collaboration often occurs through virtual meetings, shared dashboards, and cloud-based project management tools. You’ll regularly coordinate with cross-functional teams such as marketing, engineering, and product managers by providing data-driven insights and visualizations. Effective communication and flexibility in scheduling are essential, as meetings may be held at varied times to accommodate global teams. Staying proactive in sharing updates and documenting your analyses helps ensure everyone stays aligned despite the distance.

What does a Remote Google Data Analyst do?

A Remote Google Data Analyst is responsible for collecting, processing, and analyzing data to help businesses make informed decisions, all while working from a remote location. They primarily use Google tools like Google Analytics, BigQuery, and Google Data Studio to interpret data and generate actionable insights. Their tasks may include creating reports, visualizing trends, and supporting teams with data-driven recommendations. Effective communication and strong analytical skills are essential for this role. Working remotely, they often collaborate virtually with team members across different locations.
What are popular job titles related to Remote Google Data Analyst jobs in Puerto Rico? For Remote Google Data Analyst jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Remote Google Data Analyst jobs in Puerto Rico look for? The top searched job categories for Remote Google Data Analyst jobs in Puerto Rico are:
Remote Google Data 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