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Remote Sql 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 ... Perform advanced SQL-based data transformations, integrating multiple internal and external data ...

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 ...

Infotech Sourcing

Linguist III

PR · Remote

US - NY - Remote Duration:8 months Job Title: Linguist lII (FAIR) Main duties: Perform linguistic ... SQL, other coding languages used for data analysis are a plus. Must be able to independently work ...

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 ...

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 ...

OncoHealth

Case Review Specialist - PR

Guaynabo, PR · On-site

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 ...

OncoHealth

Case Review Specialist - PR

Guaynabo, PR · On-site

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 Sql Data Analyst information

What is a Remote SQL Data Analyst?

A Remote SQL Data Analyst is a professional who works offsite to collect, process, and analyze data using SQL (Structured Query Language). They use SQL to query databases, generate reports, and provide insights that help organizations make data-driven decisions. This role often involves collaborating with other team members virtually, cleaning and organizing large datasets, and building dashboards or visualizations. Remote SQL Data Analysts need strong analytical skills, proficiency in SQL, and the ability to communicate complex findings clearly.

How do Remote SQL Data Analysts typically collaborate with cross-functional teams despite working offsite?

Remote SQL Data Analysts often use communication and project management tools such as Slack, Microsoft Teams, or Jira to stay connected with colleagues in different departments. Regular virtual meetings, screen-sharing sessions, and collaborative documentation help facilitate data sharing and ensure alignment on project goals. Building strong relationships with stakeholders and maintaining clear, proactive communication are key to overcoming the challenges of working remotely while delivering accurate and timely insights.

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

To thrive as a Remote SQL Data Analyst, you need strong analytical skills, proficiency in SQL, and a solid background in data management or statistics, typically supported by a relevant degree. Expertise in database systems (such as MySQL, PostgreSQL, or SQL Server), data visualization tools (like Tableau or Power BI), and sometimes certifications like Microsoft Certified: Data Analyst Associate are highly valued. Excellent problem-solving abilities, attention to detail, and clear communication skills help analysts interpret data accurately and share insights with remote teams. These skills ensure data-driven decision-making, effective collaboration, and the ability to deliver actionable insights from large datasets in a virtual work environment.
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Remote Sql Data Analyst jobs near you

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