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Compensation Data Analytics Jobs in Rhode Island

Perform data analysis, modeling, reporting, and presentation materials to inform compensation strategy and leadership discussions * Support executive compensation activities, including data gathering ...

... guidance, and supporting their development Skills Analytics Compensation Core ... data, or a related role A history of building proprietary applications alongside vendor systems ...

Analyzing the client source data to identify issues, potential causes, and suggested remediation ... Pay is not considered compensation until it is earned, vested and determinable. The amount and ...

Build and maintain analytics dashboards using Tableau (or similar BI tools) to support decision ... Compensation decisions are dependent on the facts and circumstances of each case. A reasonable ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

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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.

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.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Directors, Chief Data Officers, and Analytics Executives, with salaries often exceeding $150,000 annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, and are usually found in large corporations or tech companies.

What jobs make $1,000,000 a year?

In compensation data analytics, roles such as chief data officer, senior data scientist, or executive-level positions in finance and technology can reach or exceed $1 million annually, often through base salary, bonuses, and stock options. These high earnings typically require extensive experience, advanced skills in data modeling and analytics tools, and leadership responsibilities. Such compensation is more common in large corporations or successful startups with significant revenue and growth potential.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment a data analyst's work, it is unlikely to fully replace the role in the near future.

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 jobs pay 500,000 a year in the US?

In compensation data analytics, senior roles such as Chief Compensation Officer or Compensation Director can reach or exceed $500,000 annually, especially in large corporations or industries with high compensation packages. These positions often require extensive experience, advanced certifications, and expertise in data analysis, market trends, and compensation strategy.
What are popular job titles related to Compensation Data Analytics jobs in Rhode Island? For Compensation Data Analytics jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Compensation Data Analytics jobs in Rhode Island look for? The top searched job categories for Compensation Data Analytics jobs in Rhode Island are:
What cities in Rhode Island are hiring for Compensation Data Analytics jobs? Cities in Rhode Island with the most Compensation Data Analytics job openings:
Infographic showing various Compensation Data Analytics job openings in Rhode Island as of July 2026, with employment types broken down into 2% Locum Tenens, 1% Internship, 85% Full Time, 9% Part Time, and 3% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Manager, Compensation Data and Analytics

Manager, Compensation Data and Analytics

Fidelity Investments

Smithfield, RI • On-site

$80K - $153K/yr

Full-time

Medical, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

17th of 148 rated financial services


Job description


Note: Fidelity is not providing immigration sponsorship for this position
The Role
The Manager, Compensation Data and Analytics works in the Corporate Compensation team and assists with reporting and data visualization using a vast array of reporting tools and code base analysis. In this role, you will build robust ETL workflows in Alteryx, automate system administration with PowerShell, develop interactive Tableau dashboards, and utilize JavaScript to integrate analytics into our broader application ecosystem. You will bridge the gap between complex data extraction, automation, and visually compelling business intelligence
  • Assist in the development of reporting and analytic tools using Snowflake, Alteryx, Excel, Tableau, PowerShell, JavaScript and other Fidelity systems
  • Testing and ensuring the quality of core data, reports and tools
  • Defines, interprets and analyzes problems in terms of system requirements and suggests modifications to the system design
  • Partner with technology team to set up and improve existing data infrastructure
  • Assist with issue resolution processes, communicate project milestones to all levels of the Compensation organization
  • Creates complex data visualizations that will be used for executive presentations
  • Work with cross functional groups (technology and business unit HR) to support delivery of compensation tools and analytics.
  • Work with compensation data to uncover information and insights to help senior executives make decisions on a wide array of compensation programs including annual bonus, short-term and long-term incentives, as well as ongoing ad hoc information requests.

The Expertise and Skills You Bring
The role requires expertise with reporting tools such as Tableau, PowerBI and Alteryx. Additionally, coding experience with SQL, PowerShell, Javascript is helpful. The candidate must be able to translate business needs into technical requirements and turn it into actionable insights into our Compensation Programs.
  • College degree with 2-5 years of experience using reporting tools, relational databases, and creation of reports, and analytics.
  • SQL, Alteryx, Tableau, or other reporting/Data ETL tool skills required
  • Powershell, Javascript, Other coding experience preferred
  • Outstanding Microsoft Office skills, especially Excel and Powerpoint

The Team
The Compensation Data and Analytics team sits within the HR Function and supports HR leadership and the broader HR function. Our team analyzes the effectiveness of compensation programs for Fidelity associates. We provide executive decision support that enables us to attract and retain talent across all job roles. Within the HR function we provide data and insights to support the Compensation function and HR leaders allowing them to make the pay decisions throughout the year.
Fidelity's Onsite Working Model
Fidelity is transitioning to a full-time onsite working model through a phased rollout across regions and roles. Currently, some roles and locations require 100% onsite presence, while others require less. Onsite expectations are likely to evolve as the rollout continues. This transition does not apply to fully remote roles.
The base salary range for this position is $80,000-$153,000 per year.
Placement in the range will vary based on job responsibilities and scope, geographic location, candidate's relevant experience, and other factors.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.
We offer a wide range of benefits to meet your evolving needs and help you live your best life at work and at home. These benefits include comprehensive health care coverage and emotional well-being support, market-leading retirement, generous paid time off and parental leave, charitable giving employee match program, and educational assistance including student loan repayment, tuition reimbursement, and learning resources to develop your career. Note, the application window closes when the position is filled or unposted.
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.
Certifications:
Category:
Business Analytics and Insights

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