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Compensation Data Analytics Jobs in Pawtucket, RI

Sr Quality Engineer

Lincoln, RI · On-site

$105K - $130K/yr

... analysis and reliability functions to support their activities and initiatives. • Maintain ... Vicor is an EO employer - M/F/Veteran/Disability Compensation Data Salary Range: $105,000 - $130 ...

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

CRM & Marketing Coordinator

Providence, RI · On-site

$42K - $59K/yr

This role bridges marketing strategy, data analytics, and customer communications, ensuring ... Compensation & Benefits: * Competitive base salary plus potential for performance-based bonuses or ...

Showing results 21-40

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.

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.

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.
Infographic showing various Compensation Data Analytics job openings in Pawtucket, RI as of June 2026, with employment types broken down into 2% As Needed, 44% Full Time, 47% Part Time, and 7% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Sr Quality Engineer

Vicor Corporation

Lincoln, RI • On-site

$105K - $130K/yr

Full-time

Re-posted 2 days ago


Vicor Corporation rating

8.0

Company rating: 8.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

55th of 156 rated electronics manufacturers


Job description

Job Summary
The Senior Product Quality Engineer will be responsible for monitoring supplier, subcontractor and internal process and product quality. Responsibilities include creating, documenting, developing, and implementing quality processes and procedures in a fabless semiconductor environment. Individual will be hands on and capable of performing physical/electrical measurements of components.
This position can be based out of Andover, MA or Lincoln, RI
Job Description
• Responsible for supporting ISO efforts including internal audits.
• Overseeing CAPA activities, including SCAR, PCAR, NCMR and ISO audit findings.
• Communicate with suppliers to bring corrective action exercises to closure. Monitor and track PCN activity as part of supplier management initiative.
• Maintain quality documentation/history.
• Work closely with failure analysis and reliability functions to support their activities and initiatives.
• Maintain quality documents, history and results in a timely and logical manner.
Education / Qualifications
• Minimum of 5+ years of experience in a Product Quality Engineering role.
• Must possess a well-rounded background in Semiconductor/Electronics manufacturing, with particular focus on product life cycle, trouble-shooting and inspection of manufacturing processes.
• Must have strong knowledge of ISO 9001:2015
• IATF16949 Automotive quality experience.
• Six Sigma Black Belt or CQE
• Understanding of Statistics using JMP or Minitab
• Experience in semiconductor industry quality and reliability systems and practices.
• Experience working with PLM systems such as Omnify, Agile or Matrix One is a plus.
• Ability to drive projects to completion while working as part of a cross functional team.
• Familiarity with IC packaging, and Semiconductor Reliability is a plus.
• Excellent interpersonal, communication and project leadership skills. Microsoft Project and Visio experience is also a plus.
• BSEE or BSME Required
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status.
Vicor is an EO employer - M/F/Veteran/Disability
Compensation Data
Salary Range:
$105,000 - $130,000
Please note: This range is based on our current market driven pay structures. Individual salaries are determined based upon a variety of factors including but not limited to, a candidates overall qualifications, such as skills, education, and experience as well as company internal equity.

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