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Compensation Data Analytics Jobs in New Jersey (NOW HIRING)

Compensation Analyst POSITION OBJECTIVE Provide compensation analysis and consultation in support ... Data Analytics, or a related field preferred. QUALIFICATIONS Previous Experience Required

New

Compensation Analyst

Livingston, NJ · On-site

$82K - $107K/yr

Compensation Analyst POSITION OBJECTIVE Provide compensation analysis and consultation in support ... Data Analytics, or a related field preferred. QUALIFICATIONS Previous Experience Required

New

Maintain compensation data for budgeting and accurate reference. Determine monthly, quarterly and ... Analyze compensation packages for new and current field personnel. Develop and provide project ...

Analyst, Compensation

Secaucus, NJ · On-site

$80K - $88K/yr

Administer the annual merit planning process, including data preparation, reporting, payout ... Prepare standard and ad hoc reporting and analytics to support HR and business decision making

Senior Compensation Analyst

Newark, NJ · Hybrid

$89K - $147K/yr

Bachelor's degree in Human Resources, Business Administration, Finance, Data Science, Analytics, or ... Proven experience supporting compensation programs, market analysis, benchmarking, and survey ...

NJ · On-site

$169.54 - $185/hr

It does not include any another type of compensation or benefits that may be available. Barclays ... Engage in complex analysis of data from multiple sources of information, internal and external ...

NJ · On-site

$70 - $90/hr

Analyze compensation data to guide pay decisions and organizational planning * Maintain compensation structures and job documentation * Lead position management and ensure roles align with ...

NJ · Hybrid

$185K/yr

It does not include any another type of compensation or benefits that may be available. Barclays ... Engage in complex analysis of data from multiple sources of information, internal and external ...

$29.90/hr

As an AI and Data Analytics Intern, you will work closely with our Sr. Data Analyst and our ... Even more so than the generous compensation and benefits, the culture and values of Shared Services ...

Senior Compensation Analyst

Parsippany, NJ · On-site

$83K - $108K/yr

... quality analytics, and ensures the accuracy, integrity, and compliance of compensation data across the enterprise. They provide strong contributions to the design and execution of Skanska USA ...

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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.

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 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 cities in New Jersey are hiring for Compensation Data Analytics jobs?

Cities in New Jersey with the most Compensation Data Analytics job openings:

Compensation Analyst

fpcusa

Livingston, NJ • On-site

Full-time

Posted 3 days ago

New


Job description

Compensation Analyst

POSITION OBJECTIVE 

Provide compensation analysis and consultation in support of the Company's enterprise-wide compensation and Total Rewards programs. Analyze compensation, market, job, and workforce information; interpret findings; identify material compensation and classification issues; evaluate alternatives; and develop recommendations for management consideration.

Conducting market pricing and compensation benchmarking, evaluating salary structures and market competitiveness, analyzing internal and pay equity, supporting salary planning and special compensation decisions, and reviewing positions for potential FLSA classification concerns.

Serve as a compensation resource to HR and management by providing analytical guidance, interpreting compensation information and established programs, recommending appropriate courses of action within established policies and objectives, and escalating significant policy, compliance, or business matters requiring higher-level review. Support compensation governance, Total Cash Compensation and incentive studies, workforce and labor-cost analysis, compensation policy development, and strategic Total Rewards initiatives.

MAJOR AREAS OF ACCOUNTABILITY 

Compensation Analysis and Market Benchmarking

Conduct market pricing, compensation benchmarking, and            competitive pay analyses to evaluate the Company's compensation practices relative to applicable labor markets.

Salary Structure and Compensation Administration

Support the administration and maintenance of salary structures, job-related compensation data, and compensation programs to promote consistent and market-competitive pay practices.

Salary Planning and Compensation Reviews

Support annual salary planning, promotion analyses, special compensation reviews, and related compensation recommendations through accurate and timely analysis.

Pay Equity and Internal Equity Analysis

Perform and support pay equity, internal equity, and other compensation analyses to identify compensation trends, inconsistencies, and areas requiring additional review.

FLSA Classification Review and Documentation

Support FLSA classification reviews by gathering and evaluating job duties, job descriptions, organizational information, and compensation data. Identify potential classification questions, maintain review documentation, and escalate concerns to HR management and other appropriate resources.

Compensation Surveys and Market Data

Coordinate participation in compensation and benefits surveys and support the collection, validation, submission, and analysis of survey and market data.

Workforce and Labor-Cost Analysis

Prepare compensation, workforce, and labor-cost analyses to provide reliable information supporting HR, management, and executive decision-making.

Compensation Governance and Total Rewards Support

Support compensation governance, incentive reviews, Total Cash Compensation studies, compensation policy development, Total Rewards initiatives, and other strategic HR projects.

EDUCATION 

Bachelor's degree in Human Resources, Business Administration, Finance, Accounting, Economics, Data Analytics, or a related field preferred.

QUALIFICATIONS 

Previous Experience Required -

  • Minimum five (5) years of progressively responsible Human Resources experience, including significant experience in compensation, Total Rewards, or a closely related HR function.
  • Experience should include compensation analysis, market pricing and benchmarking, salary administration, job analysis, and interpretation of compensation and workforce data.
  • Experience evaluating complex compensation matters and developing recommendations for management is required. 
  • Experience with FLSA classification analysis, salary structures, pay equity/internal equity analysis, incentive compensation, and compensation surveys is strongly preferred.

Technical Skills Required - 

  • Advanced knowledge of compensation principles and practices, including market pricing, benchmarking, salary structures, salary administration, and Total Rewards.
  • Demonstrated ability to independently analyze complex compensation and workforce data, interpret findings, evaluate alternatives, and develop recommendations for management.
  • Knowledge of FLSA classification principles and experience evaluating job duties, job descriptions, organizational relationships, and other relevant information to identify potential exempt/nonexempt classification issues.
  • Advanced Microsoft Excel and data analysis skills, including experience analyzing large data sets using formulas, lookup functions, pivot tables, and other analytical tools.
  • Power BI, Dayforce and HRIS system experience.