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Functional Data Analyst Jobs in Puerto Rico (NOW HIRING)

This is a fully remote role, collaborating closely with cross-functional teams across the US and ... Maintain and evolve analytical datasets and workflows as new data is ingested. * Conduct in-depth ...

Python, R, SQL, Power BI, Databricks, or similar analytics and visualization platforms ... Leading the projects and be part of cross functional teams on projects and/or programs with aims to ...

This role will lead advanced analytics projects from the front and will be responsible for end-to ... Leading the projects and be part of cross functional teams on projects and/or programs with aims to ...

PR · On-site

Data Analysis & Risk Identification * Collect, analyze, and interpret data to identify trends ... Cross-Functional Collaboration * Collaborate with business units to address compliance risks and ...

This role will lead advanced analytics projects from the front and will be responsible for end to ... Leading the projects and be part of cross functional teams on projects and/or programs with aims to ...

PR

$48/hr

Data warehousing (EDW). Data modeling & integration (ETL/ELT), Enterprise systems (SAP, MES ... analytics. Experience with: Large datasets & distributed computing (Spark, Hive), Cross-functional ...

Data warehousing (EDW). Data modeling & integration (ETL/ELT), Enterprise systems (SAP, MES ... analytics. Experience with: Large datasets & distributed computing (Spark, Hive), Cross-functional ...

PR · On-site

... data analysis, reporting, and operational decision-making. The Analyst plays a key role in budget management, financial tracking, compliance, and cross-functional coordination . Key Responsibilities

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Functional Data Analyst information

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can enhance efficiency, the need for human expertise in interpreting data, understanding context, and communicating findings remains essential in the field of data analysis.

What jobs pay $500,000 a year in the US?

In the US, highly specialized roles such as senior executives, investment bankers, and certain medical specialists can earn $500,000 or more annually. Some top-tier data analysts with extensive experience, advanced skills in data modeling, and certifications in analytics tools may reach high six-figure salaries, especially in large corporations or financial firms. However, such compensation levels are typically associated with senior leadership or highly niche expertise rather than standard data analyst roles.

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

To thrive as a Functional Data Analyst, you need strong analytical abilities, a solid understanding of data modeling, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data analytics tools (such as SQL, Excel, Tableau, or Python) and experience with business intelligence systems are typically required. Effective communication, problem-solving, and the ability to translate technical findings into actionable business insights are standout soft skills. These competencies enable analysts to extract meaningful information from data, support decision-making, and drive organizational success.

How does a Functional Data Analyst typically collaborate with business stakeholders to ensure data-driven decision making?

A Functional Data Analyst often works closely with business stakeholders to understand their objectives, translate requirements into analytical tasks, and present actionable insights. This involves frequent meetings to clarify goals, iterative feedback on reports or dashboards, and explaining complex data findings in accessible terms. Effective analysts build strong relationships with stakeholders, ensuring that the analyses they deliver are both relevant and impactful for strategic decision making. This collaborative approach not only enhances the value of data-driven insights but also helps align analytics initiatives with organizational priorities.

What jobs make $1,000,000 a year?

While rare, some high-level executive roles such as CEOs, hedge fund managers, and successful entrepreneurs can earn over $1 million annually. Certain specialized professions like top-tier surgeons, professional athletes, and celebrity entertainers also reach this income level, often supplemented by bonuses, investments, or endorsements. These roles typically require extensive experience, advanced skills, and significant responsibility or public visibility.

What is a functional data analyst?

A functional data analyst is a professional who specializes in analyzing and interpreting data related to specific functions or processes within an organization. They often use tools like SQL, Excel, and data visualization software to identify trends, improve efficiency, and support decision-making. Strong analytical skills and understanding of business operations are essential for this role.
What are popular job titles related to Functional Data Analyst jobs in Puerto Rico? For Functional Data Analyst jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Functional Data Analyst jobs in Puerto Rico look for? The top searched job categories for Functional Data Analyst jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Functional Data Analyst jobs? Cities in Puerto Rico with the most Functional Data Analyst job openings:

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