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Sql Python Excel Power Bi Tableau Jobs in Puerto Rico

Experience with data visualization tools (Tableau, Power BI, Looker, or similar). * Strong ... Experience using Python or R for analytics and data manipulation. * Understanding of pharma ...

Proficiency in Python, R, SQL, Power BI, Databricks, or similar analytics and visualization ... Well versed in MS Office suite specifically Excel and PowerPoint. * Assuring compliance with ...

Well versed in MS Office suite specifically Excel and PowerPoint. * Assuring compliance with ... Proficiency in Python, R, SQL, Power BI, Databricks, or similar analytics and visualization ...

PR · On-site

$16 - $20.75/hr

Excelentes destrezas para el uso de Microsoft Office 365 (Excel, Power Point, Outlook, Word, y Power BI). * Conocimiento en plataformas como: Oracle y/o JD Edwards. * Sólidas destrezas de ...

PR · On-site

$16 - $20.75/hr

Excelentes destrezas para el uso de Microsoft Office 365 (Excel, Power Point, Outlook, Word, y Power BI). * Conocimiento en plataformas como: Oracle y/o JD Edwards. * Sólidas destrezas de ...

PR

$48/hr

Python, R, SQL, Visualization: Power BI (or equivalent tools). Platforms: Databricks or similar analytics platforms * Strong experience with: Data warehousing (EDW). Data modeling & integration (ETL ...

Python, R, SQL, Visualization: Power BI (or equivalent tools). Platforms: Databricks or similar analytics platforms * Strong experience with: Data warehousing (EDW). Data modeling & integration (ETL ...

PR · On-site

$16.25 - $21.25/hr

Excelentes destrezas para el uso de Microsoft Office 365 (Excel, Power Point, Outlook, Word, y Power BI).   * Conocimiento en plataformas como: Oracle y/o JD Edwards.  * Sólidas destrezas de ...

PR · On-site

Excelentes destrezas para el uso de Microsoft Office 360 (Excel, Power Point, Outlook, Word, y Power BI). * Solidas destrezas de comunicación verbal y escritas en Inglés y Español a todos los ...

Junior Integration Developer

Guaynabo, PR

$67K - $87K/yr

Contribute to reporting and analytics solutions using Power BI and semantic data layers * Support ... Working knowledge of Python and SQL (internships, academic projects, or entry-level experience ...

Junior Integration Developer

Guaynabo, PR · On-site

$67K - $87K/yr

Contribute to reporting and analytics solutions using Power BI and semantic data layers * Support ... Working knowledge of Python and SQL (internships, academic projects, or entry-level experience ...

Junior Integration Developer

San Juan, PR

$65K - $85K/yr

Contribute to reporting and analytics solutions using Power BI and semantic data layers * Support ... Working knowledge of Python and SQL (internships, academic projects, or entry-level experience ...

PR · On-site

... Excel skills (required), including: * Pivot Tables * VLOOKUP / XLOOKUP * Macro creation (VBA) * Analysis of large data sets * Knowledge of: * Power BI , Power Query * Languages: DAX, VBA, SQL

PR · On-site

... Excel skills (required), including: * Pivot Tables * VLOOKUP / XLOOKUP * Macro creation (VBA) * Analysis of large data sets * Knowledge of: * Power BI , Power Query * Languages: DAX, VBA, SQL

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Sql Python Excel Power Bi Tableau information

What is the difference between Sql Python Excel Power Bi Tableau vs Data Analyst?

AspectSql Python Excel Power Bi TableauData Analyst
Required SkillsSQL, Python, Excel, Power BI, TableauData analysis, SQL, Excel, visualization tools
Work EnvironmentBusiness intelligence, data visualization, reportingData interpretation, reporting, business insights
Industry UsageTech, finance, marketing, consultingFinance, healthcare, retail, marketing

Sql Python Excel Power Bi Tableau professionals focus on data extraction, analysis, and visualization using specific tools. Data Analysts interpret data to provide insights, often using similar skills but with a broader focus on business decision-making. While both roles require SQL and Excel, the former emphasizes technical data manipulation and visualization tools, whereas Data Analysts focus on understanding data trends and presenting actionable insights.

What are SQL, Python, Excel, Power BI, and Tableau jobs?

Jobs that require skills in SQL, Python, Excel, Power BI, and Tableau typically involve working with data analysis, data visualization, and business intelligence. Professionals in these roles use SQL to manage and query databases, Python for data processing and automation, Excel for organizing and analyzing data, and Power BI or Tableau to create interactive dashboards and reports. These roles are common in industries like finance, healthcare, marketing, and technology, where data-driven decision-making is essential. Common job titles include Data Analyst, Business Intelligence Analyst, and Data Scientist.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in SQL and Python for data manipulation, and a solid understanding of Excel for data organization and calculations. Familiarity with data visualization tools like Power BI and Tableau, as well as relevant certifications such as Microsoft Certified: Data Analyst Associate, are highly valuable. Attention to detail, problem-solving abilities, and effective communication skills help translate complex data findings into actionable insights for stakeholders. These skills are crucial for extracting meaningful information from data, driving business decisions, and presenting results clearly to both technical and non-technical audiences.

How do professionals using SQL, Python, Excel, Power BI, and Tableau typically collaborate within data teams?

Professionals skilled in SQL, Python, Excel, Power BI, and Tableau often work closely with data analysts, data engineers, and business stakeholders. They collaborate by gathering requirements, extracting and transforming data (using SQL and Python), and then visualizing insights (with Power BI and Tableau) or conducting ad-hoc analysis in Excel. Regular communication and sharing of dashboards or reports are common, as is peer review of data models and code. This collaborative environment helps ensure accurate, actionable insights for the organization.
What are popular job titles related to Sql Python Excel Power Bi Tableau jobs in Puerto Rico? For Sql Python Excel Power Bi Tableau jobs in Puerto Rico, the most frequently searched job titles are:
What job categories do people searching Sql Python Excel Power Bi Tableau jobs in Puerto Rico look for? The top searched job categories for Sql Python Excel Power Bi Tableau jobs in Puerto Rico are:
What cities in Puerto Rico are hiring for Sql Python Excel Power Bi Tableau jobs? Cities in Puerto Rico with the most Sql Python Excel Power Bi Tableau 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