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Compensation Data Analytics Jobs (NOW HIRING)

Compensation Analyst

Lancaster, CA · On-site

$70K - $91K/yr

Learn more about us at How You Will Make an Impact The Compensation Analyst will be responsible for ... Bachelor's degree in Human Resources, Data Analytics, or a related field, or 2 years of equivalent ...

... analytics, or a related HR role with a strong analytical focus. * Strong proficiency in Microsoft Excel (pivot tables, formulas, data analysis, and reporting). * Experience with Dayforce (HRIS) is a ...

... analytics, or a related HR role with a strong analytical focus. * Strong proficiency in Microsoft Excel (pivot tables, formulas, data analysis, and reporting). * Experience with Dayforce (HRIS) is a ...

Bachelor's degree in Human Resources, Business, Finance, Accounting, Economics, Data Analytics, or a related field; equivalent experience may be considered. * 1-3 years of experience in compensation ...

Compensation Analyst

Cleveland, OH · On-site

$65K - $70K/yr

Bachelor's degree in Human Resources, Business, Finance, Accounting, Economics, Data Analytics, or a related field; equivalent experience may be considered. * 1-3 years of experience in compensation ...

Sr Compensation Analyst

Scottsdale, AZ

$84K - $110K/yr

Develop governance processes to improve compensation data accuracy and integrity * Build advanced compensation reports, dashboards, models, and analytics * Deliver insights on pay equity, market ...

New

Sr Compensation Analyst

Scottsdale, AZ

$84K - $110K/yr

Develop governance processes to improve compensation data accuracy and integrity * Build advanced compensation reports, dashboards, models, and analytics * Deliver insights on pay equity, market ...

New

Compensation Analyst

Arlington, VA · On-site +1

$34 - $40/hr

Analyze internal and external compensation data to support pay decisions and ensure market competitiveness. * Assist with job evaluations and the development or maintenance of s. * Support salary ...

Compensation Analyst

Arlington, VA · On-site +1

$34 - $40/hr

Analyze internal and external compensation data to support pay decisions and ensure market competitiveness. * Assist with job evaluations and the development or maintenance of s. * Support salary ...

Compensation Analyst

Washington, DC · On-site

$90K - $95K/yr

The ideal candidate is comfortable working with compensation data, advising business partners on pay-related matters, and providing analytical recommendations that support equitable and competitive ...

Analyze compensation data to assess market competitiveness and internal equity. * Prepare benchmarking reports and recommendations for base salary, incentive plans, and total rewards. Job Evaluation ...

Conduct Human Resource analytics, data analysis and interpretation of trends to support proactive planning related to faculty and staff compensation. * Analyze data and relevant market trends, assist ...

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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.
More about Compensation Data Analytics jobs
What cities are hiring for Compensation Data Analytics jobs? Cities with the most Compensation Data Analytics job openings:
What states have the most Compensation Data Analytics jobs? States with the most job openings for Compensation Data Analytics jobs include:
Infographic showing various Compensation Data Analytics job openings in the United States as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Full-time

Posted 11 days ago


Job description

LIFELONG LEARNING ADMINISTRATION CORPORATION

Full Time, Monday - Friday

This position offers a hybrid work arrangement, with on-site responsibilities determined according to program and site needs.

The Lifelong Learning Advantage

At Lifelong Learning, our mission is to support our client schools so they can concentrate on improving educational outcomes and student success. We continue to be a strong, positive force, pioneering the way education is delivered to all students.

Learn more about us at https://llac.org/  

How You Will Make an Impact

The Compensation Analyst will be responsible for analyzing compensation data using market data and internal benchmarks, support the development and administration of compensation policies and programs; conduct job audits, job description developments and updates, job classifications to ensure compliance with regulatory standards, and salary grade assignments; support HRIS integration and updates related to compensation systems and tools. The position reports directly to the Director, People Services or their designee.

RESPONSIBILITIES/DUTIES  This job description is intended to accurately reflect the duties, responsibilities, and requirements of the position. It is not intended to be and should not be construed as an all-inclusive list of all the responsibilities, skills, or working conditions associated with this classification. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions of the job.

Data Analysis & Reporting

  • Collect, perform market pricing analysis for job evaluation and support annual compensation reviews.
  • Prepare cost-benefit analyses to support decision-making.
  • Lead the development and enhancement of compensation reports, resources, and tools to proactively support and inform compensation program decisions.
  • Participate in compensation surveys and analyze results.

Compensation Administration and Compliance

  • Review and respond to compensation-related inquiries and transactions.
  • Perform FLSA exemption evaluations and revise job descriptions as needed.
  • Maintain accurate and up-to-date compensation data in the HRIS.
  • Recommend actions based on regulatory updates and market trends.
  • Conduct audits to ensure accuracy and compliance with compensation practices.
  • Ensure compliance with organizational compensation policies and regulatory guidelines (federal, state, and local).
  • Support the evaluation and implementation of new compensation initiatives.
  • Monitor minimum wage laws and provide impact analysis.

Job Classification & Evaluation

  • Evaluate new and existing job titles, including reclassifications.
  • Conduct job audits and create accurate job descriptions.
  • Configure job families, tracks, and classification systems.

Collaboration and Support

  • Collaborate with the department People Services Leadership to implement compensation and incentive programs.
  • Serve as the point of contact for Talent Acquisition/Recruiting, responding to inquiries and supporting the drive to streamline internal equity evaluation practices.
  • Lead or assist in upgrades and enhancements to compensation-related and job descriptions and databases.
  • Support special projects and cross-functional HR initiatives.
  • Perform administrative duties, responsibilities, and activities as assigned, which may be changed or modified from time to time.

KNOWLEDGE, SKILLS, ABILITIES

  • Knowledge of compensation best practices, wage regulations, and equity standards.
  • Ability to interpret data, perform computations, explain mathematical rules and equations used for data analysis.
  • Ability to troubleshoot when it comes to discrepancies or errors in compensation data or processes.
  • Ability to explain complex compensation concepts clearly to non-experts and to effectively communicate compensation changes or policies to employees.
  • Ability to maintain confidentiality and handle sensitive compensation data responsibly.
  • Strong organizational skills to track and maintain compensation records, classification records, deadlines, and process workflows.

MINIMUM QUALIFICATIONS

  • Bachelor’s degree in Human Resources, Data Analytics, or a related field, or 2 years of equivalent work experience demonstrating the required knowledge, skills, and abilities in the discipline.
  • 3 years of experience as a compensation analyst.
  • Experience in job analysis, job description development, and job classification standards.
  • Experience and proficient in interpreting large sets of compensation data, trends, and performance metrics.
  • Advance level of skills in MS Office (Word, Excel, PowerPoint, Outlook) and other technology applications.
  • Ability to perform job duties with minimal supervision, dependability, high quality, and quantity is required.
  • Ability to travel in performance of job duties is required.

PHYSICAL REQUIREMENTS

  • Vision: Ability to read small prints and view a computer screen for prolonged periods, prepare, or inspect documents and operate office equipment.
  • Hearing: Ability to hear average or typical conversations and receive ordinary information.
  • Speech: Ability to be understood in face-to-face communication, in person or remote, to speak with a level of proficiency and volume to be understood over a telephone or computer.
  • Mental Demands: Ability to read, write, understand, interpret, and apply information at a moderately complex level essential for successful job performance; math skills at a high school proficiency level; judgement and the ability to process information quickly; learn quickly and follow verbal procedures and standards; give verbal instruction; rank tasks in order of importance; copy, compare, compile and coordinate information and records. Frequent multi-tasking, changing of task priorities, and repetitious exacting work. Understand how to manage stress in a high workflow management, high project coordination, and medium people engagement.
  • Upper Body Mobility: Ability to use fingers to make small movements such as typing, picking up small objects, or pinching fingers together, use hands to grasp, and manipulate small objects; twist and bend at wrist and elbow; extend arms to reach outward and upward; use hands and arms to lift objects; turn, raise, and lower head.
  • Strength: Ability to lift, carry, push, and pull objects weighing up to 10 pounds.
  • Environmental Requirements: Ability to encounter constant work interruptions; work cooperatively with others; work independently; work indoors. Prolonged period sitting at a desk and working on a computer. Work in a low to moderate noise environment with frequent deadline pressures.