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Compensation Data Analytics Jobs in Chicago, IL (NOW HIRING)

Senior Compensation Analyst

Chicago, IL · Hybrid

$85K - $111K/yr

Monitor compensation data to ensure competitiveness, internal equity, and compliance with relevant regulations. Participate in salary surveys and update salary ranges based on market trends. * Job ...

Senior Compensation Analyst

Chicago, IL · On-site

$90K - $110K/yr

Monitor compensation data to ensure competitiveness, internal equity, and compliance with relevant regulations. Participate in salary surveys and update salary ranges based on market trends. * Job ...

Senior Compensation Analyst

Chicago, IL · Hybrid

$85K - $111K/yr

Monitor compensation data to ensure competitiveness, internal equity, and compliance with relevant regulations. Participate in salary surveys and update salary ranges based on market trends. * Job ...

The role is highly analytical and technical, with ownership of core compensation processes rather ... Pivot tables, VLOOKUP/XLOOKUP, Power Query, data manipulation and translating data into clear ...

Showing results 41-60

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.
What are popular job titles related to Compensation Data Analytics jobs in Chicago, IL? For Compensation Data Analytics jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Compensation Data Analytics jobs in Chicago, IL look for? The top searched job categories for Compensation Data Analytics jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Compensation Data Analytics jobs? Cities near Chicago, IL with the most Compensation Data Analytics job openings:
Infographic showing various Compensation Data Analytics job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Compensation Consultant - 2 Openings

DivIHN Integration Inc.

Lisle, IL • On-site

Other

Re-posted 9 days ago


Job description

DivIHN (pronounced “divine”) is a CMMI ML3-certified Technology and Talent solutions firm. Driven by a unique Purpose, Culture, and Value Delivery Model, we enable meaningful connections between talented professionals and forward-thinking organizations. Since our formation in 2002, organizations across commercial and public sectors have been trusting us to help build their teams with exceptional temporary and permanent talent.

Visit us at to learn more and view our open positions.

 
Please apply or call one of us to learn more

For further inquiries regarding the following opportunity, please contact one of our Talent Specialists, Deepak at  or Kalaivani at 
 
Title: Compensation Consultant - 2 Openings
Location: Lisle, IL
Duration: 6 Months
Hours: Monday-Thursday must be onsite, Friday remote unless there are critical meetings on that day. 8 am - 5 pm
 
Only W2 candidates are eligible for this position. Third-party or C2C candidates will not be considered

Description:
  • Provide senior-level compensation consulting support with responsibility for complex compensation program administration, job architecture evaluation, salary structure support, market analysis, and review of compensation actions for alignment with established guidelines, policies, and practices.
  • This position will support high-impact projects involving incentive compensation, bonus programs, special studies, organizational structure changes, and other compensation initiatives that require strong judgment and advanced subject-matter expertise.
  • The contractor may also complete analyst-level work, including job audits, job description preparation, survey data analysis, and compensation data validation.
  • Compensation work directly affects payroll costs, employee equity, legal compliance, and leadership decision-making; therefore, delayed or low-quality work could create financial exposure, employee relations issues, and compliance risk.
  • These roles are critical to maintaining continuity of compensation operations, ensuring pay decisions are consistent, defensible, and aligned to client’s compensation philosophy.
  • The contractor must be able to work independently, resolve complex issues, and provide high-quality recommendations with limited oversight.
  • Candidates should have previous experience in compensation - specifically in job architecture and grading, sales incentive plan design and execution, salary market benchmarking, and/or pay equity.
  • Additional desired skills include strong written, verbal, analytical, and interpersonal communications skills, strong stakeholder engagement and relationship-building capabilities, ability to develop creative solutions to complex problems, proficiency with Microsoft Office applications including PowerPoint, Excel, and Word, and experience managing multiple priorities in a fast-paced environment.
About us:
DivIHN, the ''IT Asset Performance Services'' organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.

DivIHN is an equal opportunity employer. DivIHN does not and shall not discriminate against any employee or qualified applicant on the basis of race, color, religion (creed), gender, gender expression, age, national origin (ancestry), disability, marital status, sexual orientation, or military status.