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Data Analyst Powerbi Developer Jobs in Puerto Rico

Hondadesanjuan

Data Engineer

San Juan, PR · On-site

$65 - $85/hr

Help build the data foundations that will power analytics, AI, and strategic initiatives across the ... Collaborate with senior engineers on code reviews, sprint planning, and incident response, learning ...

LUMA

Analyst, Performance Metrics

San Juan, PR · On-site

Collects, validates, and consolidates data from multiple stakeholders to ensure accurate, high ... Experience with Access or other DBMS (e.g., SQL) and programing language preferred. * Experience ...

INVID

Data Testing Engineer

San Juan, PR · On-site

$90 - $120/hr

Job Summary We are seeking a detail-oriented and analytical Data Testing Engineer to ensure the accuracy, reliability, and quality of our data platform and reporting solutions. This role plays a ...

Invid, Llc.

Data Testing Engineer

San Juan, PR · On-site

$70 - $100/hr

Job Summary We are seeking a detail-oriented and analytical Data Testing Engineer to ensure the accuracy, reliability, and quality of our data platform and reporting solutions. This role plays a ...

Pharmpix

Financial Analyst

Guaynabo, PR · On-site

Perform data analysis by collecting and analyzing data & patterns, presenting findings ... programming requested by client or management, and perform testing. * Coordinate with IT department ...

On Point Strategy LLC

Analytics Engineering Intern

Caguas, PR · On-site

$16.25 - $21.25/hr

Analytics Engineering Intern Position Summary At On Point Strategy , we believe that data tells a story, and we make that story visible. We are looking for an Analytics Engineering Intern who is ...

INVID

Data Infrastructure Engineer

San Juan, PR · On-site

$110 - $150/hr

Assist in the analysis, design, development, and deployment of necessary data. Provide accurate ... Required Qualifications * 7+ years of experience in data engineering, data integration, or related ...

Invid, Llc.

Data Infrastructure Engineer

San Juan, PR · On-site

$90 - $130/hr

Provide daily status and feedback on the work performed. Assist in the analysis, design ... Required Qualifications * 7+ years of experience in data engineering, data integration, or related ...

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Data Analyst Powerbi Developer information

What is the difference between Data Analyst Powerbi Developer vs Data Analyst?

AspectData AnalystPowerbi Developer
Primary RoleAnalyzes data to generate reports and insightsDesigns and develops Power BI dashboards and reports
Skills & CertificationsExcel, SQL, data visualization, basic BI toolsPower BI, DAX, data modeling, SQL, certifications like Microsoft Certified: Data Analyst Associate
Work EnvironmentBusiness intelligence teams, data departmentsBI teams, data visualization departments
Industry UsageAcross various industries for data analysisPrimarily in organizations using Power BI for reporting

While both roles involve working with data, a Data Analyst focuses on analyzing data and generating insights, whereas a Powerbi Developer specializes in creating interactive dashboards and reports using Power BI. The Powerbi Developer often requires advanced skills in Power BI tools and DAX, making their role more technical in report development.

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For Data Analyst Powerbi Developer jobs in Puerto Rico, the most frequently searched job titles are:

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Data Analyst Powerbi Developer jobs near you

Data Engineer

Hondadesanjuan

San Juan, PR • On-site

$65 - $85/hr

Other

Posted 5 days ago

Job description

Why join our Strategy & Innovation Team?

This is not a traditional data engineering role.

You’ll be joining a newly created Strategy & Innovation team at a pivotal moment in its journey. As one of the early members of the group, you’ll won’t just be executing a roadmap, you’ll help shape it. From defining how data supports strategic decision‑making to enabling new AI‑driven capabilities, your work will directly influence how the organization grows and innovates.

The team combines the energy and agility of a startup environment with the resources, scale, and long‑term commitment of an established company. You'll work alongside ambitious professionals who enjoy solving complex problems, experimenting with new technologies, and turning ideas into tangible business impact. This role offers a unique opportunity to build foundational data capabilities from the ground up, contribute to high‑visibility initiatives, and develop solutions that will be used across the organization. If you're excited by ownership, continuous learning, and the chance to help define what the future looks like, you'll feel right at home here.

What makes this opportunity especially exciting:
  • Be part of a newly established Strategy & Innovation function with significant visibility and executive support.
  • Help build the data foundations that will power analytics, AI, and strategic initiatives across the business.
  • Work on projects with real business impact, not isolated technical exercises.
  • Collaborate with an agile, and highly motivated team that values curiosity, experimentation, and execution.
  • Enjoy the rare combination of startup‑like influence and enterprise‑level stability and resources.
What the role looks like:
  • Build and maintain data pipelines that ingest data from internal systems, third‑party APIs, and external sources into our data platform.
  • Write Python scripts and SQL queries to extract, transform, and load data following established medallion architecture patterns (bronze → silver → gold).
  • Develop data quality checks and validation rules to catch issues early and ensure downstream analytics teams can trust the data.
  • Document data sources, transformation logic, and lineage so the team and business stakeholders understand what each dataset represents.
  • Collaborate with senior engineers on code reviews, sprint planning, and incident response, learning production‑grade engineering practices from day one.
  • Support analytics and reporting teams by responding to data requests, troubleshooting pipeline issues, and improving existing models.
  • Contribute to a modern cloud‑based data stack (Azure, Databricks, dbt, Terraform), building skills that transfer anywhere in the industry.
Requirements:
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related technical field.
  • 1-3 years of experience in Data Engineering, Analytics Engineering, Business Intelligence, Software Engineering, or a related data‑focused role.
  • Strong SQL skills and experience working with relational databases.
  • Proficiency in Python for data processing, automation, or ETL development.
  • Understanding of data modeling concepts and ETL/ELT processes.
  • Experience working with APIs and integrating data from multiple sources.
  • Familiarity with Git and collaborative software development practices.
  • Strong problem‑solving skills and attention to data quality.
  • Excellent communication skills and ability to work with both technical and business stakeholders.
  • Curiosity, ownership mindset, and willingness to learn new technologies quickly.
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