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Compensation Data Analytics Jobs in Virginia (NOW HIRING)

Insight Global

Compensation Analyst

Richmond, VA · On-site

$25 - $45/hr

Compensation Analyst Position Overview Insight Global is seeking a Compensation Analyst for one of ... HR Analytics * Organizational Design * Stakeholder Consulting * Process Improvement * Data ...

New

[solidcore]

Compensation Analyst

Arlington, VA · On-site

$76K - $97K/yr

... analytics. * Certified Compensation Professional (CCP) designation preferred * Strong analytical skills with demonstrated ability to work with large data sets and translate them into clear ...

[solidcore]

Compensation Analyst

Arlington, VA · On-site

$90K - $109K/yr

... analytics. * Certified Compensation Professional (CCP) designation preferred * Strong analytical skills with demonstrated ability to work with large data sets and translate them into clear ...

[solidcore]

Compensation Analyst

Arlington, VA

$90K - $109K/yr

... analytics. * Certified Compensation Professional (CCP) designation preferred * Strong analytical skills with demonstrated ability to work with large data sets and translate them into clear ...

Stbancorp

$48K - $115K/yr

The Data & Analytics Senior Analyst works at the direction of a Team Leader to fulfill the data and ... However, employees who have access to the compensation information of other employees or applicants ...

CGI Inc.

Senior Data Analytics Engineer

Reston, VA · On-site

Compensation decisions are dependent on the facts and circumstances of each case. A reasonable ... Data Analysis * Python * SQL * Data Engineering * Data Engineering What you can expect from us:

VB Spine

Sr. Manager Data Analytics

Leesburg, VA · On-site

$150K - $170K/yr

Sr. Manager, Data & Analytics Location: Leesburg, VA (hybrid) Company: VB Spine Looking for a ... Compensation: Pay for this role is competitive and based on experience, with additional factors ...

McKesson

Manager, Data Analytics

Richmond, VA

Manager, Data Analytics We're looking for someone who can sit between the business and the ... In addition to base pay, other compensation, such as an annual bonus or long-term incentive ...

McKesson

Manager, Data Analytics

Richmond, VA

Manager, Data Analytics We're looking for someone who can sit between the business and the ... In addition to base pay, other compensation, such as an annual bonus or long-term incentive ...

MCKESSON

Manager, Data Analytics

Richmond, VA

Manager, Data Analytics We're looking for someone who can sit between the business and the ... In addition to base pay, other compensation, such as an annual bonus or long-term incentive ...

ColonialWebb

Compensation Manager

Richmond, VA · On-site +1

$110K - $140K/yr

The ideal candidate combines strong analytical expertise with business acumen and can translate complex compensation data into clear, practical guidance within a fast-paced, project-driven ...

ColonialWebb

Compensation Manager

Richmond, VA · On-site

$110K - $140K/yr

The ideal candidate combines strong analytical expertise with business acumen and can translate complex compensation data into clear, practical guidance within a fast-paced, project-driven ...

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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.

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 Virginia?

For Compensation Data Analytics jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Compensation Data Analytics jobs in Virginia look for?

The top searched job categories for Compensation Data Analytics jobs in Virginia are:

What cities in Virginia are hiring for Compensation Data Analytics jobs?

Cities in Virginia with the most Compensation Data Analytics job openings:

Compensation Data Analytics jobs near you

Compensation Analyst

Insight Global

Richmond, VA • On-site

$25 - $45/hr

Full-time

Medical, Dental, Vision

Posted 2 days ago

New

Job description

Compensation Analyst

Position Overview

Insight Global is seeking a Compensation Analyst for one of our large non-profit clients in the Richmond market. The ideal candidate will be responsible for supporting the design, administration, and continuous improvement of the organization's compensation programs. This individual will conduct market analyses, evaluate internal job structures, support compensation strategy initiatives, and provide data-driven recommendations that ensure the company remains competitive, equitable, and aligned with business objectives. The Compensation Analyst will partner closely with HR leadership, managers, and external vendors to support organizational growth, workforce planning, and compensation-related decision-making.

Key Responsibilities

Compensation Analysis & Market Benchmarking

  • Conduct market pricing, compensation benchmarking, and salary analyses using industry surveys and market data.
  • Evaluate internal and external compensation trends to provide recommendations on pay practices and competitiveness.
  • Analyze compensation data to support hiring, promotions, retention strategies, and annual compensation reviews.
  • Partner with HR and business leaders to ensure compensation decisions align with organizational goals.

Job Architecture & Career Frameworks

  • Support the development and maintenance of job descriptions across the organization.
  • Assist with job evaluations, job leveling, and career framework design initiatives.
  • Ensure consistent application of job architecture methodologies and compensation guidelines.
  • Partner with department leaders to clarify role definitions and organizational structures.

Compensation Strategy & Equity

  • Assist in the implementation and maintenance of the organization's Compensation Philosophy and Framework.
  • Conduct compensation equity analyses and identify opportunities to support fair and consistent pay practices.
  • Provide recommendations regarding salary offers, promotional increases, market adjustments, and internal equity considerations.
  • Serve as a resource to leaders and HR partners on compensation-related matters.

Organizational Effectiveness & Workforce Planning

  • Support organizational design, workforce planning, and role optimization initiatives.
  • Analyze workforce and compensation data to identify trends and support strategic decision-making.
  • Collaborate with HR leadership to assess workforce structures and compensation impacts related to organizational change.

Vendor Management & Process Improvement

  • Partner with compensation data providers and vendors, including ERI and other market intelligence tools.
  • Maximize the effectiveness of compensation resources, surveys, and benchmarking platforms.
  • Develop and maintain compensation processes, tools, templates, and documentation.
  • Ensure compensation data integrity, reporting accuracy, and compliance with internal policies.

Stakeholder Support & Knowledge Transfer

  • Provide coaching and guidance to HR team members regarding compensation practices and methodologies.
  • Support training efforts and knowledge transfer initiatives to build internal compensation capabilities.
  • Serve as a compensation subject matter expert for managers and leaders.
  • Assist with compensation-related communication during periods of organizational growth and change.

Required Qualifications

  • Bachelor's degree in Human Resources, Business Administration, Finance, Economics, or a related field.
  • 10+ years of experience in compensation, total rewards, HR analytics, or related human resources functions.
  • Experience conducting market pricing, salary benchmarking, and compensation analyses.
  • Knowledge of job architecture, job evaluation methodologies, and compensation frameworks.
  • Advanced proficiency in Microsoft Excel and data analysis.
  • Strong analytical, problem-solving, and communication skills.
  • Ability to manage multiple priorities and maintain confidentiality.

Preferred Qualifications

  • Experience working with compensation survey tools such as ERI, Mercer, Radford, Willis Towers Watson, or similar platforms.
  • Experience supporting job leveling, career pathing, and organizational design initiatives.
  • CCP (Certified Compensation Professional) certification or progress toward certification.
  • Experience supporting compensation programs during periods of organizational transformation or growth.

Key Competencies

  • Compensation Strategy
  • Market Benchmarking
  • Job Architecture
  • Job Leveling
  • Pay Equity Analysis
  • Workforce Planning
  • HR Analytics
  • Organizational Design
  • Stakeholder Consulting
  • Process Improvement
  • Data Interpretation and Reporting