ZipRecruiter

Log In

1

Compensation Data Analytics Jobs (NOW HIRING)

Zoox

Compensation Analyst

Foster City, CA · On-site

$136K - $184K/yr

... data analytics, reporting, and insights across People and Compensation data, as well as participating in compensation surveys. In this role, you will... * Conduct analyses of salary and benefits ...

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 ...

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 ...

CentraCare Health

Compensation Analyst

Saint Cloud, MN · Remote

$68K - $103K/yr

Analyze internal compensation data to identify trends, gaps, and risks. * Support design and administration of merit, technical adjustment and incentive programs. * Partner with HR Business Partners ...

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 ...

next page

Showing results 1-20

All JobsCompensation Data Analytics Jobs

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?

In data analytics, senior roles such as Data Analytics Director, Chief Data Officer, or Lead Data Scientist tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in statistical analysis, machine learning, and experience with tools like SQL, Python, or R, along with leadership responsibilities.

What jobs pay 200,000 a year in the USA?

In compensation data analytics, senior roles such as Compensation Managers, Compensation Directors, and Compensation Vice Presidents often earn $200,000 or more annually, especially with extensive experience and certifications like CCP or CBP. High-level data analysts and consultants in compensation may also reach this salary level, particularly in large organizations or consulting firms. These roles typically require advanced analytical skills, knowledge of compensation structures, and proficiency with data tools like Excel, SQL, or Tableau.

What jobs pay 500,000 a year?

In compensation data analytics, senior roles such as Chief Compensation Officer or compensation consultants with extensive experience and specialized skills can earn $500,000 or more annually. These positions often require advanced degrees, certifications, and a deep understanding of compensation strategies, market trends, and data analysis tools. High-level executive roles across various industries may also reach or exceed this salary level.

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.

Is AI replacing data analysts?

AI is transforming the role of compensation data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on strategic insights and decision-making. While AI tools can enhance efficiency, human expertise remains essential for interpreting complex data, ensuring data quality, and applying context-specific judgment. The role continues to evolve with skills in data visualization, statistical analysis, and AI tool proficiency becoming increasingly valuable.
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 June 2026, with employment types broken down into 3% As Needed, 26% Full Time, 55% Part Time, 3% Temporary, and 13% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution.
Compensation Data Analyst - Contract

Compensation Data Analyst - Contract

Temco Logistics

Pomona, CA • On-site

$30 - $35/hr

Full-time

Posted 10 days ago

Temco Logistics rating

6.9

Company rating: 6.9 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

37th of 62 rated delivery companies

Job description

We are seeking a Compensation Data Analyst to play a critical role in evaluating and evolving our pay structure. This position will analyze current compensation practices, benchmark against market and industry standards, and help transition from a performance-based model to a competitive hourly pay structure—ensuring we remain both attractive to talent and financially sustainable.

This role will partner closely with HR, Operations Excellence, and Recruiting to develop data-driven compensation strategies that support business goals, improve retention, and maintain operational profitability.

Key Responsibilities
  • Compensation Analysis & Benchmarking
    • Evaluate current pay structures, including piece-rate models and performance-based earnings
    • Conduct market analysis to benchmark compensation against competitors and industry standards
    • Identify gaps, risks, and opportunities in current pay practices
  • Pay Model Transition (Piece-Rate → Hourly)
    • Lead analytical efforts to support transition to hourly base pay
    • Model different compensation scenarios (hourly rates, incentives, productivity adjustments)
    • Ensure new structure remains competitive, equitable, and aligned with business margins
  • Data Modeling & Insights
    • Build financial and workforce models to assess impact of compensation changes
    • Analyze productivity, labor cost, and profitability metrics
    • Provide actionable insights and recommendations to leadership
  • Cross-Functional Collaboration
    • Partner with HR Director on compensation strategy and compliance
    • Work with Operations Excellence to align pay with performance, efficiency, and productivity metrics
    • Collaborate with Recruiting to ensure pay structures support hiring competitiveness and candidate attraction
  • Reporting & Communication
    • Develop dashboards and reports on compensation trends, labor costs, and ROI
    • Present findings and recommendations to leadership in a clear, concise way
    • Translate complex data into practical business decisions
  • Continuous Improvement
    • Monitor effectiveness of updated pay structure post-implementation
    • Recommend ongoing enhancements to maintain competitiveness and profitability
    • Stay current on compensation trends, labor laws, and industry best practices
Qualifications
  • High School Diploma required
  • Bachelor’s degree in Finance, Human Resources, Data Analytics, or related field
  • 2+ years of experience in compensation analysis, workforce analytics, or financial modeling
  • Strong experience with:
    • Compensation benchmarking tools and market data
    • Excel (advanced), data modeling, and reporting tools
    • Translating complex data into actionable insights
  • Experience with incentive-based or productivity-based pay models strongly preferred
  • Understanding of labor cost structures, margins, and operational efficiency
Key Skills
  • Analytical and highly detail-oriented
  • Strong business acumen with ability to balance competitiveness and profitability
  • Ability to influence and collaborate across departments
  • Clear and confident communication skills
  • Problem-solver with a continuous improvement mindset
What Success Looks Like in This Role
  • Successfully develops a competitive hourly compensation model that improves hiring and retention
  • Ensures labor costs remain aligned with operational and financial goals
  • Provides leadership with clear, data-backed recommendations
  • Builds strong partnerships across HR, Operations, and Recruiting

What Temco Logistics employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Temco Logistics logo

About Temco Logistics

Sourced by ZipRecruiter

Temco Logistics is a premier, white glove solutions provider delivering and installing home goods since 1968. Headquartered in Pomona, California, the company has fulfilled millions of residential and commercial deliveries for some of America’s largest retailers. Focusing on big and bulky products, Temco prides itself on elevating the final-mile delivery experience for its customers.

Industry

Transportation and warehousing

Company size

11 - 50 Employees

Headquarters location

Pomona, CA, US

Year founded

1968

Social media

FacebookTwitter

View All Temco Logistics Jobs

Apply