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Compensation Data Analytics Jobs (NOW HIRING)

Compa

Compensation Data Analyst

San Francisco, CA · On-site

$100K - $145K/yr

The Compensation Data Analyst plays a critical role in maintaining trust in Compa's compensation insights by monitoring data yields, identifying systemic data issues, resolving customer-specific data ...

Insight Global

Compensation Analyst

Jupiter, FL · On-site

$70K - $100K/yr

Strong communication and organizational skills The Compensation Analyst evaluates jobs and compensation data to ensure the organization offers competitive salaries and benefits. This role supports HR ...

Almo Corporation

Compensation Analyst

Philadelphia, PA · On-site

... 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 ...

ALMO CORP

Compensation Analyst

Philadelphia, PA · Hybrid

... 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 ...

Brook + Whittle

Compensation Analyst

Cleveland, OH

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 ...

New

Brook & Whittle

Compensation Analyst

Cleveland, OH · On-site

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 ...

Murray State University

Compensation Analyst

Murray, KY · On-site

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 ...

Wynd Technologies, Inc

Compensation Analyst

Portola, CA · On-site

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 ...

Travel + Leisure Co.

Compensation Analyst

Portola, CA · On-site

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 ...

Travel + Leisure Co.

Compensation Analyst

Orlando, FL · On-site

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 ...

Travel + Leisure Co.

Compensation Analyst

Orlando, FL · On-site

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 ...

Travel + Leisure Co.

Compensation Analyst

Orlando, FL · On-site

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 ...

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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:
What job categories do people searching Compensation Data Analytics jobs look for? The top searched job categories for Compensation Data Analytics jobs are:
Compensation Data Analytics jobs near you
Infographic showing various Compensation Data Analytics job openings in the United States as of July 2026, with employment types broken down into 3% Locum Tenens, 1% Internship, 91% Full Time, 3% Part Time, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.
Compensation Data Analyst

Compensation Data Analyst

Compa

San Francisco, CA • On-site

$100K - $145K/yr

Full-time

Posted 16 days ago

Job description

About Compa
Compa is a venture-backed AI startup revolutionizing the future of compensation.
In a dynamic job market with hiring challenges, accountability, and the rise of AI, companies need the best data to stay ahead of industry changes, competition, and costs. Compa has developed the premier real-time compensation data platform, delivering top-tier compensation intelligence to leading enterprise teams.
Compa is a compensation intelligence company built to augment enterprise compensation teams in the era of AI.
Our customers include the world's biggest companies: NVIDIA, Stripe, DoorDash, Open AI, TMobile, Moderna, Workday, Ulta, Target, and more.
Locations:
Compa headquarters are located in Irvine, California, with growing sites in Denver, Colorado and San Francisco, California. We're a collaborative, curious, and driven team that values transparency, ownership, and continuous learning and prioritizing in person work where possible.
The Role:
The Compensation Data Analyst plays a critical role in maintaining trust in Compa's compensation insights by monitoring data yields, identifying systemic data issues, resolving customer-specific data problems, and supporting ongoing data releases and quality management.
Key Responsibilities
  • Monitor the health and recency of compensation data across customer accounts.
  • Investigate and resolve data inconsistencies to ensure reliable insights in the platform.
  • Partner with Product, Engineering, and Integrations teams to support stable data pipelines.
  • Respond to customer- and internally-reported data questions with clear, timely communication.
  • Execute routine data updates and validate accuracy as part of ongoing data releases.
  • Perform recurring data quality checks to proactively maintain data integrity.
  • You'll work at the intersection of compensation expertise, data operations, and product quality.
  • The role offers clear ownership and visibility, with meaningful impact on customer trust and product reliability.

Minimum Qualifications:
  • Experience working with structured datasets and performing data validation or quality checks.
  • At least 3 years of experience working with compensation data and deep knowledge of compensation benchmarking
  • Familiarity with HR technology systems and comfort working with technology systems.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to communicate clearly about data findings and issues with both technical and non-technical stakeholders.
  • Comfort working in a fast-paced, collaborative environment with evolving priorities.

Preferred Qualifications:
  • Exposure to data integrations or APIs.
  • Data analysis and proficiency in advanced data analysis (SQL, Python, etc.)
  • Prior experience in a customer-impacting or support-adjacent role, where clear communication and timely resolution were important.

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