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Senior Business Intelligence Analyst Jobs in Puerto Rico

Hondadesanjuan

Data Engineer

San Juan, PR · On-site

$60 - $80/hr

Collaborate with senior engineers on code reviews, sprint planning, and incident response, learning ... Analytics Engineering, Business Intelligence, Software Engineering, or a related data‑focused ...

Assurant, Inc

Sr. Auto Claims Analyst

San Juan, PR · On-site

Job Purpose The Senior Auto Claims Analyst is a senior individual contributor responsible for ... Bachelor's degree, preferably in Engineering, Business Administration, Finance, Accounting, Risk ...

BioPharma Consulting JAD Group

Sr Data Scientist

Juncos, PR · On-site

$125 - $150/hr

... intelligence, and statistical modeling. KEY RESPONSIBILITIES * Lead, design, and develop data ... Identify business needs, conduct SWOT analyses, propose analytical approaches, obtain stakeholder ...

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Senior Business Intelligence Analyst information

What is a senior business intelligence analyst?

Senior Business Intelligence Analysts are experienced professionals who use data analysis and reporting tools to help organizations make informed business decisions. They collect, analyze, and interpret complex data sets to identify trends, patterns, and opportunities for improvement. In addition to designing and maintaining BI solutions, they often collaborate with stakeholders to translate business needs into actionable insights. Their expertise helps drive strategic planning and operational efficiency across the organization.

How does a senior business intelligence analyst typically collaborate with other departments to drive data-driven decisions?

A Senior Business Intelligence Analyst regularly works cross-functionally with teams such as marketing, finance, operations, and IT to understand their data needs and translate business questions into actionable insights. They often lead meetings to gather requirements, share analytical findings, and present data visualizations that inform strategic decisions. Effective communication and the ability to tailor insights to different audiences are key, as the analyst acts as a bridge between technical data teams and business stakeholders. This collaborative approach not only ensures that analyses are aligned with organizational goals but also fosters a data-driven culture throughout the company.

What are the key skills and qualifications needed to thrive as a senior business intelligence analyst, and why are they important?

To thrive as a Senior Business Intelligence Analyst, you need advanced analytical skills, a deep understanding of data modeling, and typically a degree in computer science, statistics, or a related field. Expertise with BI tools such as Tableau, Power BI, SQL, and data warehousing systems, as well as relevant certifications, is highly valued. Strong communication, problem-solving, and stakeholder management skills help translate complex data insights into actionable business strategies. These capabilities are crucial for driving data-informed decisions and delivering measurable business value.

How much does a senior business intelligence analyst make?

A senior business intelligence analyst in the US typically earns between $85,000 and $125,000 annually, depending on experience, location, and industry. Advanced skills in data visualization tools like Tableau or Power BI and knowledge of SQL can influence salary levels.

What does a senior business intelligence analyst do?

A senior business intelligence analyst analyzes data to help organizations make informed decisions by developing reports, dashboards, and data models. They often use tools like SQL, Tableau, or Power BI and may lead data projects or mentor junior analysts to improve data processes and insights.

What are the most commonly searched types of Business Intelligence Analyst jobs in Puerto Rico?

The most popular types of Business Intelligence Analyst jobs in Puerto Rico are:

What are popular job titles related to Senior Business Intelligence Analyst jobs in Puerto Rico?

For Senior Business Intelligence Analyst jobs in Puerto Rico, the most frequently searched job titles are:

What are popular job titles related to Senior Business Intelligence Analyst jobs in PR?

For Senior Business Intelligence Analyst jobs in PR, the most frequently searched job titles are:

Senior Business Intelligence Analyst jobs near you
Infographic showing various Senior Business Intelligence Analyst job openings in Puerto Rico as of August 2026, with employment types broken down into 84% Full Time, 13% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Data Engineer

Hondadesanjuan

San Juan, PR • On-site

$60 - $80/hr

Other

Posted 6 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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