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 ...
Quick apply
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 ...
Quick apply
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 ...
San Juan, PR · On-site
Use SQL and Tableau to analyze utilization trends and to pull data in support of rebate modeling ... REMOTE
San Juan, PR · On-site
Use SQL and Tableau to analyze utilization trends and to pull data in support of rebate modeling ... REMOTE
San Juan, PR · Remote
Use SQL and Tableau to analyze utilization trends and to pull data in support of rebate modeling ... REMOTE
San Juan, PR · Remote
Use SQL and Tableau to analyze utilization trends and to pull data in support of rebate modeling ... REMOTE
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 ...
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 ...
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.
| Aspect | Sql Remote | Sql Developer |
|---|---|---|
| Required Credentials | SQL certifications, remote work experience | SQL certifications, programming skills |
| Work Environment | Remote, independent | Office or remote, collaborative |
| Industry Usage | Data management, remote support roles | Database 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.

Full-time
Posted 15 days ago
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
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 ResponsibilitiesPerform 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.
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).
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.
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