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Senior Data Analyst Jobs in Puerto Rico (NOW HIRING)

Job Purpose The Senior Auto Claims Analyst is a senior individual contributor responsible for ... Data Analysis, Insights & Forecasting * Analyze claims data to identify trends in frequency ...

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 ...

Process Development Sr Scientist ID 35535

Juncos, PR · On-site

$89K - $121K/yr

Provides data analysis and interpretation and assesses the impact of the data on the project. Keeps ... May represent the department on project teams under the supervision of a senior scientific staff ...

Showing results 21-40

Senior Data Analyst information

What is a senior data analyst?

Senior Data Analysts are experienced professionals who collect, process, and analyze complex data sets to help organizations make data-driven decisions. They often lead analytics projects, design data models, and communicate findings to stakeholders using reports and visualizations. In addition to technical expertise with tools like SQL, Python, or R, they frequently mentor junior analysts and work closely with business leaders to identify opportunities for improvement. Their insights can drive strategy, optimize operations, and support organizational goals.

What does a senior data analyst do?

A senior data analyst develops and leads a team of data analysts in business or research projects. Job duties include consulting with other departments and management, conducting research using analytical tools, developing business solutions, and writing reports. Qualifications for a career as a senior data analyst include a bachelor’s degree in statistics, computer science, or a related field; job experience in data analytics; familiarity with data modeling languages such as R and Python; and leadership skills.

What are some common challenges senior data analysts face when collaborating with cross-functional teams?

Senior Data Analysts often work closely with departments such as product, marketing, and engineering to align data insights with business objectives. A common challenge is translating complex data findings into actionable recommendations for non-technical stakeholders. Additionally, balancing multiple priorities and managing expectations across teams can require strong communication and project management skills. Proactively building relationships and maintaining open lines of communication can help overcome these challenges and ensure successful collaboration.

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

To thrive as a Senior Data Analyst, you need advanced analytical skills, a strong foundation in statistics, and experience with data modeling, typically supported by a relevant degree in mathematics, statistics, or computer science. Expertise in data visualization tools (like Tableau or Power BI), SQL, and programming languages such as Python or R is often required, along with familiarity with big data platforms. Outstanding problem-solving, communication, and stakeholder management skills set top performers apart. These competencies ensure accurate data-driven insights and effective collaboration with business teams to drive strategic decision-making.

What is the difference between Senior Data Analyst vs Data Scientist?

AspectSenior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; experience in analytics toolsBachelor's or master's in data science, statistics, or related fields; often more advanced certifications
Work EnvironmentBusiness intelligence teams, analytics departmentsResearch teams, data science departments, R&D
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, startups, research institutions
Common Search & ComparisonOften compared for analytical roles with data scienceMore advanced, predictive modeling focus

The main difference between a Senior Data Analyst and a Data Scientist lies in their focus and skill set. Senior Data Analysts primarily handle data analysis, reporting, and visualization, while Data Scientists work on predictive modeling, machine learning, and advanced algorithms. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and statistical modeling.

How much is a senior data analyst paid?

The average salary for a senior data analyst typically ranges from $70,000 to $110,000 annually, depending on experience, location, and industry. Professionals with advanced skills in SQL, Python, or data visualization tools may earn higher compensation, especially in competitive markets.

Is a senior data analyst a good job?

A senior data analyst is a well-regarded role that involves analyzing complex data sets, creating reports, and providing insights to support business decisions. It typically requires strong skills in SQL, Excel, and data visualization tools, and offers opportunities for career advancement and competitive salaries.
More about Senior Data Analyst jobs

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

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

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

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

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

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

Infographic showing various Senior Data Analyst job openings in Puerto Rico as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

$75 - $95/hr

Other

Posted 5 days ago


Key responsibilities

  • Serve as the technical authority for coverage interpretation, exception handling, and complex claim scenarios.

  • Provide indirect oversight and technical direction to offshore claims adjudication teams, including conducting case reviews and identifying systemic gaps.

  • Analyze claims data to identify trends and develop actionable recommendations to improve outcomes, controls, and efficiency.


Job description

Job Purpose

The Senior Auto Claims Analyst is a senior individual contributor responsible for governing claim outcomes, coverage interpretation, and operational consistency for vehicle service contract programs and other ancillary products related to the auto industry. This role provides technical authority, analytical leadership, and escalation oversight to ensure claims are handled accurately, consistently, and in full compliance with contract terms, regulatory requirements, and internal controls.

Primary Job Responsibilities
  • Claims Governance & Technical Authority

    Serve as the technical authority for coverage interpretation, exception handling, and complex claim scenarios. Determine appropriate repair measures based on research, peer-to-peer examination, and job experience. Act as the final escalation point for high-risk, high-exposure, or precedent-setting claims. Establish and maintain adjudication standards, decision frameworks, and interpretation guidance to ensure consistency across teams. Ensure alignment between contract intent, regulatory requirements, and operational execution.

  • Offshore Adjudication Oversight & Quality Enablement

    Provide indirect oversight and technical direction to offshore claims adjudication teams. Conduct targeted case reviews, calibration sessions, and thematic deep dives to assess quality and consistency. Identify systemic gaps and drive corrective actions through training updates, documentation, or process enhancements. Support alignment between onshore expectations and offshore execution without direct people management.

  • Data Analysis, Insights & Forecasting

    Analyze claims data to identify trends in frequency, severity, leakage, repair practices, and operational performance. Translate analytical findings into actionable recommendations that improve outcomes, controls, and efficiency. Support forecasting of claim volume, severity, and repair mix to inform planning and risk management. Partner with leadership, analytics, and finance teams to improve reporting and decision visibility.

  • Repair Network Governance & Optimization

    Develop and monitor governance standards for client-owned repair facilities. Assess adherence to contractual requirements, repair practices, quality standards, and cost controls. Identify optimization opportunities related to cycle time, repair accuracy, cost containment, and customer experience. Escalate performance or compliance concerns and recommend corrective actions or operational enhancements.

  • Compliance, Audit & Continuous Improvement

    Support internal audits, quality assurance reviews, and regulatory inquiries through expert analysis and documentation. Identify control weaknesses and contribute to sustainable remediation plans. Develop and maintain training materials, job aids, and knowledge resources that strengthen claims capability and consistency. Actively contribute to continuous improvement initiatives across claims, repair networks, and supporting processes.

Required Qualifications
  • Bachelor’s degree, preferably in Engineering, Business Administration, Finance, Accounting, Risk Management or Insurance.
  • 5+ years of experience in auto claims, extended warranties, or vehicle service contract administration.
  • Demonstrated expertise in interpreting vehicle service contracts, exclusions, and endorsements.
  • Strong understanding of automotive systems, repair diagnostics, labor guides, and repair facility workflows.
  • Experience analyzing claims data and translating insights into operational or governance improvements.
  • Familiarity with state regulatory requirements applicable to vehicle service contracts or insurance-adjacent products.
  • Proven ability to influence outcomes across distributed or offshore teams without direct supervisory authority.
Core Competencies
  • Analytical Judgment – Applies data, contract language, and risk assessment to complex decisions.
  • Systems Thinking – Understands how claims, repair networks, controls, and customer outcomes intersect.
  • Influence Without Authority – Leads through expertise, credibility, and collaboration.
  • Attention to Detail – Ensures decisions and standards are accurate, defensible, and compliant.
  • Clear Communication – Articulates complex decisions and insights effectively to diverse stakeholders.
  • Continuous Improvement Mindset – Proactively identifies opportunities to strengthen outcomes and efficiency.
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