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Compensation Data Analytics Jobs in Puerto Rico (NOW HIRING)

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Extract, transform, and analyze financial data for reporting purposes. * Process vendor invoices ... Competitive hourly compensation. * Opportunity to expand your experience across AR, AP, and ...

Design and administer competitive compensation and benefits programs. * Conduct salary analyses and ... Knowledge of HRIS systems, Human Resources metrics, and data analytics. * Excellent leadership ...

PR · On-site

$103K - $135K/yr

Experience with audit software and data analytics tools preferred. * Bilingual (Spanish and English ... Competitive compensation based on experience, qualifications, and engagement responsibilities Why ...

PR · On-site

Perform data analytics procedures to identify trends, anomalies and potential control / policy ... compensation, and training. Assessment, background check and drug test will be required to ...

ERP AI Engineer - Manager

San Juan, PR · On-site

$99K - $232K/yr

In Oracle data and analytics at PwC, you will utilise Oracle's suite of tools and technologies to ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

... data analysis. What You Will Need Required: * Bachelor's degree in Engineering or a related ... However, employees who have access to the compensation information of other employees or applicants ...

... data analysis. What You Will Need Required: * Bachelor's degree in Engineering or a related ... However, employees who have access to the compensation information of other employees or applicants ...

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Compensation Data Analytics information

What is compensation data analytics?

Compensation data analytics is the process of collecting, analyzing, and interpreting data related to employee compensation, such as salaries, bonuses, and benefits. This field helps organizations make informed decisions about pay structures, ensure competitive and equitable compensation, and comply with legal requirements. By leveraging data analytics, companies can identify trends, address pay disparities, and optimize their compensation strategies to attract and retain top talent.

How does a Compensation Data Analytics professional typically collaborate with HR and business leaders to inform pay decisions?

Compensation Data Analytics professionals work closely with HR teams and business leaders by providing data-driven insights that guide salary structures, incentive plans, and pay equity initiatives. They interpret data from salary surveys, internal pay records, and market trends, translating complex analyses into actionable recommendations. Regular meetings and presentations are common, ensuring that stakeholders understand compensation trends and can make informed decisions that support organizational goals. Effective communication and collaboration are key, as these professionals often bridge the gap between technical analytics and strategic HR planning.

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

To thrive as a Compensation Data Analytics professional, you need strong analytical skills, a solid understanding of compensation structures, and a degree in fields like HR, finance, or statistics. Familiarity with HR information systems (HRIS), data visualization tools like Tableau or Power BI, and proficiency in Excel or statistical software such as R or Python are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for stakeholders. These skills ensure accurate, data-driven compensation strategies that support organizational goals and fair employee practices.

What is the difference between Compensation Data Analytics vs Compensation Analyst?

AspectCompensation Data AnalyticsCompensation Analyst
CredentialsDegree in HR, Business, or Data Analytics; often certifications in data analysisDegree in HR, Business, or related field; HR certifications common
Work EnvironmentData-focused, analytical tasks, often in HR or compensation departmentsHR teams, compensation planning, employee benefits
Industry UsageUsed across industries for data-driven compensation strategiesPrimarily in HR and compensation departments within various industries
Search & Comparison IntentFocus on data analysis skills and tools for compensation dataFocus on salary structures, benefits, and employee compensation policies

Compensation Data Analytics involves analyzing large datasets to inform compensation strategies, requiring strong data skills. Compensation Analysts focus on designing and managing salary structures and benefits. Both roles collaborate but differ mainly in their focus—data analysis versus policy implementation.

Is data analytics a high paying job?

Data analytics roles, including Compensation Data Analytics, are generally considered well-paying careers, especially for those with strong skills in statistical analysis, data visualization, and tools like Excel or SQL. Salaries tend to increase with experience, certifications, and advanced skills such as machine learning or programming languages like Python. Overall, data analytics is regarded as a lucrative field within the broader data and technology sectors.

What are popular job titles related to Compensation Data Analytics jobs in Puerto Rico?

For Compensation Data Analytics jobs in Puerto Rico, the most frequently searched job titles are:

What job categories do people searching Compensation Data Analytics jobs in Puerto Rico look for?

The top searched job categories for Compensation Data Analytics jobs in Puerto Rico are:

What cities in Puerto Rico are hiring for Compensation Data Analytics jobs?

Cities in Puerto Rico with the most Compensation Data Analytics job openings:

Infographic showing various Compensation Data Analytics job openings in Puerto Rico as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Director, Quality Data Analytics

Integra LifeSciences

Anasco, PR

$166K - $228K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 17 days ago


Integra LifeSciences rating

9.4

Company rating: 9.4 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


Job description

Changing lives. Building Careers.

Joining us is a chance to do important work that creates change and shapes the future of healthcare. Thinking differently is what we do best. To us, change equals opportunity. Every day, our colleagues are challenging what's possible and making headway to innovate new treatment pathways to advance patient outcomes and set new standards of care.

SUMMARY

The Director, Quality Program Management, Quality Data Analytics provides enterprise leadership for Quality Analytics strategy, program execution, and data-driven transformation initiatives across the organization. This role is responsible for establishing and scaling advanced analytics capabilities while leading complex, cross-functional programs that enable proactive Quality Compliance, regulatory readiness, and enterprise risk management across the medical device lifecycle. The Director, Quality Program Management, Quality Data Analytics leads managers and/or advanced individual contributors and partners with senior leadership to embed datadriven decisionmaking across the organization.

ESSENTIAL DUTIES AND RESPONSIBILITIES
To perform this job successfully, an individual must be able to perform the following:

  • Define and execute the enterprise Quality Data Analytics strategy aligned with enterprise priorities.

  • Lead and develop a team of analytics professionals and project/program manager, ensuring strong capability development and succession planning.

  • Establish standards for analytics, reporting, and data governance across Quality functions.

  • Oversee analytics supporting, at minimum, CAPA, complaints, audits, nonconformances, supplier quality, postmarket surveillance and other attributes and characteristics of our process and products that are Critical to Quality or associated with the Cost of Poor Quality.

  • Ensure analytics outputs meet regulatory requirements (FDA QSR/QMSR, ISO 13485, EU MDR, and MDSAP, at minimum).

  • Serve as a key leader during regulatory inspections, owning analytics narratives and data defensibility.

  • Drive cross-functional collaboration across Quality, Regulatory, Manufacturing, and IT.

  • Drive continuous improvement, automation, and adoption of advanced analytics techniques.

  • Establish program management frameworks, governance, and reporting standards.

  • Manage prioritization across multiple stakeholders and enterprise demands; and,

  • Other duties as assigned.

Additional duties, may include:

  • Supporting development and execution of the Program Management strategy.

  • Leading a portfolio of strategic Quality programs and projects.

DESIRED MINIMUM QUALIFICATIONS
The requirements listed below are representative of the knowledge, skill and/or ability required for this position.

  • Bachelor's degree in Data Science, Engineering, Statistics, Quality, Computer Science, or related field.

  • 12+ years of experience in data analytics or business intelligence.

  • 7+ years of people leadership experience, including managing managers or large teams.

  • Strong knowledge and expertise in Quality Management Systems and regulatory standards.

  • Experience supporting regulatory inspections and audits.

  • Experience in the medical device industry.

  • Experience leading enterprise programs and portfolios.

  • Proficiency in SQL and data visualization tools (e.g. Power BI, Tableau).

  • Strong executive communication and stakeholder influence skills.

  • Strong program/project management expertise.

  • Ability to travel up to 25% if needed.

Salary Pay Range:

$166,750.00 - $228,850.00 USD Salary

Our salary ranges are determined by role, level, and location. Individual pay is determined by several factors including job-related skills, experience, and relevant education or training. In addition to base pay, employees may be eligible for bonus, commission, equity or other variable compensation. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance, and savings plan (401(k)).

Subject to the terms of their respective policies and date of hire, Employees are eligible for the following Total Rewards | Integra LifeSciences

Integra LifeSciences is an equal opportunity employer, and is committed to providing equal employment opportunities to all qualified applicants and employees regardless of race, marital status, color, religion, sex, age, national origin, sexual orientation, physical or mental disability, or protected veteran status.
This site is governed solely by applicable U.S. laws and governmental regulations. If you'd like more information on your rights under the law, please see the following notices:
EEO Is the Law | EOE including Disability/Protected Veterans
Integra LifeSciences is committed to provide qualified applicants and employees who are disabled veterans or individuals with disabilities with needed reasonable accommodations in accordance with the ADA. If you have difficulty using our online system due to a disability and need an accommodation, please email us at careers@integralife.com.

Unsolicited Agency Submission

Integra LifeSciences does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. A formal written agreement is required before engaging any agency, and it must be executed and authorized by the Vice President, Talent Acquisition. Where agency agreements are in place, introductions (the initial sharing of a candidate's name, resume, or background) are position-specific and may only occur within the scope of that approved agreement. Please, no phone calls or emails.

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