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Sql Remote Jobs in Puerto Rico (NOW HIRING)

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 ...

Linguist III

PR · Remote

US - NY - Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic ... Must be able to code in Python (must) and query databases using SQL, other coding languages used ...

Sql Remote information

What is a SQL Remote job?

A SQL Remote job is a position where professionals work with SQL (Structured Query Language) databases while performing their duties remotely, typically from home or another off-site location. These jobs may include roles such as database administrators, SQL developers, or data analysts who manage, query, and maintain databases over the internet. Remote SQL professionals use collaboration tools and secure connections to access company databases, ensuring data integrity and security while not being physically present in the office. This setup allows for greater flexibility and can open opportunities to work with companies worldwide.

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

To thrive as a SQL Remote professional, you need strong knowledge of SQL querying, database design, and data analysis, typically backed by a degree in computer science or a related field. Familiarity with database management systems like Microsoft SQL Server, MySQL, or PostgreSQL, and certifications such as Microsoft Certified: Azure Database Administrator Associate are commonly required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively in remote environments. These skills ensure accurate data management, efficient troubleshooting, and seamless team coordination across distributed settings.

What are some common challenges faced by remote SQL professionals, and how can they be addressed?

Remote SQL professionals often encounter challenges such as maintaining clear communication with distributed teams, managing database security remotely, and efficiently troubleshooting issues without direct access to onsite resources. To address these, it's helpful to utilize collaboration tools, establish regular check-ins with team members, and follow best practices for secure remote database access. Staying organized and proactive about documentation also ensures smooth workflows and quick resolution of database-related problems.

What Are Different Remote SQL Jobs?

Remote SQL jobs include back-end and front-end positions, such as remote SQL developer, remote SQL database administrator, and remote SQL data analyst. Work from home SQL database administrator duties may include directing a team of SQL developers, working to manage and support SQL databases, gathering end user requirements, improving and enhancing the system, server, or software, and conducting database maintenance and troubleshooting. SQL developer responsibilities include working to design, support, and conduct an analysis of applications that interface with the SQL computer language, helping to develop database prototypes, and testing and writing code. An SQL data analyst works to create database function, integrate data, design reports, write scripts, add data, clean the database, and solve data issues.

What is the difference between Sql Remote vs Sql Developer?

AspectSql RemoteSql Developer
Required CredentialsSQL certifications, remote work experienceSQL certifications, programming skills
Work EnvironmentRemote, independentOffice or remote, collaborative
Industry UsageData management, remote support rolesDatabase design, development, troubleshooting

Sql Remote typically involves managing SQL databases remotely, focusing on support and maintenance tasks. Sql Developer is more involved in designing, developing, and optimizing SQL databases, often working in team environments. While both roles require SQL certifications, Sql Remote emphasizes remote work skills, whereas Sql Developer emphasizes development expertise.

What are the most commonly searched types of Sql jobs in Puerto Rico? The most popular types of Sql jobs in Puerto Rico are:
What are popular job titles related to Sql Remote jobs in Puerto Rico? For Sql Remote jobs in Puerto Rico, the most frequently searched job titles are:
What cities in Puerto Rico are hiring for Sql Remote jobs? Cities in Puerto Rico with the most Sql Remote job openings:
Infographic showing various Sql Remote job openings in Puerto Rico as of June 2026, with employment types broken down into 74% Full Time, 23% Part Time, and 3% Contract. Highlights an 49% Physical, 3% Hybrid, and 48% 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