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Functional Data Analyst Jobs in Puerto Rico (NOW HIRING)

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 ... Experience working in cross-functional teams within data transformation initiatives Other ...

Diverse-Lynx

Business Analyst -Pharma

Aguadilla, PR · On-site

$70 - $100/hr

... validation, data, and quality initiatives within regulated pharmaceutical environments. * The ... Translate business requirements into functional specifications, user stories, and acceptance ...

Wipro Technologies

BUSINESS ANALYST L4

Carolina, PR · On-site

$60 - $135/hr

... and ensure delivery aligns with both functional needs and technical feasibility. Key ... Data mapping, process modeling, root cause analysis, requirements traceability * Soft Skills:

Weil Group, Inc

Assoc Bus Proc Impvmt Analyst

Villalba, PR · On-site

$60 - $85/hr

Organizes, leads and facilitates cross-functional project teams. Develops metrics that provide data ... Performs cost and benefit analyses. SPECIALIST CAREER STREAM: Typically an individual contributor ...

Biopharma Careers

Associate Process Engineering

Anasco, PR · On-site

$60 - $78/hr

Strong analytical problem-solving skills with experience in data analysis and visualization. * Effective written and verbal communication skills; * Ability to work collaboratively in cross-functional ...

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Functional Data Analyst information

What is a functional data analyst?

A Functional Data Analyst is a professional who specializes in analyzing and interpreting data related to the functionality and performance of business processes or systems. They use statistical methods and data modeling to identify trends, patterns, and insights that help organizations improve efficiency and decision-making. Unlike traditional data analysts, functional data analysts focus specifically on data that reflects the operational aspects of a business, often working closely with stakeholders to translate business needs into actionable data solutions.

What are the key skills and qualifications needed to thrive as a functional data analyst?

To thrive as a Functional Data Analyst, you need strong analytical abilities, a solid understanding of data modeling, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data analytics tools (such as SQL, Excel, Tableau, or Python) and experience with business intelligence systems are typically required. Effective communication, problem-solving, and the ability to translate technical findings into actionable business insights are standout soft skills. These competencies enable analysts to extract meaningful information from data, support decision-making, and drive organizational success.

How does a functional data analyst typically collaborate with business stakeholders to ensure data-driven decision making?

A Functional Data Analyst often works closely with business stakeholders to understand their objectives, translate requirements into analytical tasks, and present actionable insights. This involves frequent meetings to clarify goals, iterative feedback on reports or dashboards, and explaining complex data findings in accessible terms. Effective analysts build strong relationships with stakeholders, ensuring that the analyses they deliver are both relevant and impactful for strategic decision making. This collaborative approach not only enhances the value of data-driven insights but also helps align analytics initiatives with organizational priorities.

What are popular job titles related to Functional Data Analyst jobs in Puerto Rico?

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

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The top searched job categories for Functional Data Analyst jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Functional Data Analyst jobs?

Cities in Puerto Rico with the most Functional Data Analyst job openings:

Functional Data Analyst jobs near you

Data Testing Engineer

Invid, Llc.

San Juan, PR • On-site

$70 - $100/hr

Other

Medical, Life, Retirement, PTO

Posted 14 days ago

Job description

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 critical part in validating data pipelines, transformations, and BI outputs, supporting key goals around data accuracy, auditability, and release quality.

The ideal candidate brings strong experience in data testing, reconciliation, and BI validation, with the ability to define testing strategies and ensure high-quality releases across the data lifecycle—from ingestion to reporting.

What sets INVID apart is our collaborative and flexible work environment. We encourage our team to raise the bar in everything they do while maintaining a healthy work-life balance. With our hybrid work model, team members thrive both in the office and remotely. We foster a culture of mutual respect, autonomy, and accountability, where your voice matters and your growth is supported. From structured career paths and paid professional development to access to industry events, we’re committed to your success.

Duties and Responsibilities
  • Define and execute test strategies and test plans across data ingestion, transformation, and reporting layers, including UAT
  • Validate data accuracy through end-to-end reconciliation (source vs. transformed vs. report-level outputs)
  • Perform Power BI validation and testing in non-production environments prior to release
  • Develop and maintain regression testing frameworks to support ongoing data and reporting changes
  • Document defects, test results, and release readiness criteria, ensuring clear audit trails
  • Collaborate with data engineers, BI developers, and business stakeholders to ensure high-quality data deliverables
  • Support Dev/Test/Prod release validation processes and continuous improvement of QA practices
Teamwork and Communication

Work under Agile methodologies and frameworks such as Scrum or Kanban.Provide daily status and feedback on the work performed.Assist in the analysis, design, development, and deployment of necessary data. Provide accurate explanations of any written code. Communicate with internal and external personnel in English or Spanish to discuss requirementsand specifications, provide status updates, and explain the work performed.

Required Qualifications
  • 5–7 years of experience in QA, data engineering, BI testing, or related roles
  • Proven experience testing ETL/ELT pipelines and BI/reporting solutions
  • Strong skills in data validation, reconciliation, and root cause analysis
  • Experience validating Power BI reports and dashboards, including UAT coordination
  • Familiarity with software/data release cycles (Dev/Test/Prod) and quality assurance best practices
  • Ability to work independently, define testing approaches, and manage end-to-end QA processes
  • Strong attention to detail with excellent documentation and communication skills
Preferred Qualifications
  • Experience with automated testing approaches for data validation and regression testing
  • Working knowledge of Python or scripting for automating data comparison and validation tasks
  • Familiarity with modern data platforms (e.g., Microsoft Fabric, Azure data ecosystem)
  • Understanding of data lineage, governance, and auditability concepts
  • Experience working in cross-functional teams within data transformation initiatives
Other requirements

Ability to obtain security clearance (if required)

US Resident | US Citizenship

Fully Bilingual (Spanish and English)

Work Modality: Hybrid

Location: San Juan, Puerto Rico

Benefits and Perks

We believe in supporting our employees’ well-being, growth, and work-life balance. As part of our team, you will have access to a comprehensive benefits package that includes:

  • Paid time off, including vacation and sick leave
  • Company-sponsored health insurance coverage
  • Retirement plan to help you plan for the future
  • Hybrid work model offering flexibility between office and remote work
  • Flexible working hours to support work-life balance
  • Continuing education reimbursement to encourage professional development
  • Company-paid life insurance
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