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Compensation Data Analytics Jobs in Virginia (NOW HIRING)

Compensation Analyst

Williamsburg, VA · On-site

$80 - $100/hr

Serve as a key day‑to‑day resource for compensation data, reporting, analysis, and operational activities. * Partner with the Compensation Manager and HRIS team to ensure accurate Workday ...

$36K - $80K/yr

Analyze compensation data and market trends to support competitive pay practices. * Participate in salary surveys and benchmark positions against market data. * Assist with job evaluations, grading ...

Posted today

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 ...

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

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 ...

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

Compensation Analyst

Norfolk, VA · On-site

$64K - $96K/yr

Compensation Analysis and Market Data Conduct job evaluations and market pricing analyses that support job architecture, salary structures, and compensation decisions. Analyze compensation surveys ...

Compensation Analysis and Market Data * Conduct job evaluations and market pricing analyses that support job architecture, salary structures, and compensation decisions. * Analyze compensation ...

Compensation Analyst

Norfolk, VA · On-site

$64K - $96K/yr

Compensation Analysis and Market Data * Conduct job evaluations and market pricing analyses that support job architecture, salary structures, and compensation decisions. * Analyze compensation ...

$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 ...

Sr. Manager Data Analytics

Leesburg, VA · On-site

$150K - $170K/yr

Sr. Manager Data Analytics VB Spine Leesburg, Virginia, United States About this position Sr. ... Compensation: Pay for this role is competitive and based on experience, with additional factors ...

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 ...

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 ...

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 ...

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 ...

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 ...

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Showing results 1-20

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 Virginia are hiring for Compensation Data Analytics jobs?

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

Data Analytics Developer

Northern Virginia, VA • On-site

ApplyLogic Consulting Group, LLC
IT Services • 11 - 50 employees

$75K - $95K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago


Job description


ApplyLogic is a fast-paced Service-Disabled Veteran-Owned Small-Business, headquartered in Vienna, VA. Our people are our greatest asset, and our company culture is grounded on that belief. We offer challenging and interesting work in a friendly and supportive environment. Through prime and subcontracts, we deliver best-in-class expertise to solve complex technical problems. 
 

We're looking for a talented Data Analytics Developer to join our team supporting a complex Federal Government customer in Northern Virginia (Alexandria/Falls Church area). This individual will help transform data from multiple sources into useful reports, dashboards, and insights. You will use SQL, Power BI, Excel, and other analytical tools to support reporting and decision-making.

Work Location:

  • Onsite – Northern Virginia (Alexandria/Falls Church area)

Clearance:
Must be a U.S. Citizen with the ability to obtain and maintain Government security clearance.

Primary Roles and Responsibilities:

  • Develop and maintain reports, dashboards, and data visualizations using Power BI or similar business intelligence tools.
  • Write and execute SQL queries to retrieve, analyze, and validate data from relational databases and other sources.
  • Perform recurring and ad hoc data analysis to identify trends, patterns, anomalies, and areas requiring attention.
  • Prepare data for reporting and analysis by reviewing, cleaning, and validating data from multiple sources.
  • Support the development and maintenance of Power BI datasets, reports, dashboards, and visualizations.
  • Assist with gathering and documenting reporting and analytical requirements from business and technical stakeholders.
  • Perform data validation and quality checks to ensure reports and dashboards accurately reflect underlying data.
  • Assist with developing recurring operational, management, and analytical reports.
  • Troubleshoot reporting and data issues and coordinate with technical teams when additional support is required.
  • Document report definitions, data sources, business rules, and reporting procedures.
  • Support efforts to improve reporting processes, data accuracy, and reporting efficiency.
  • Collaborate with data engineers, database administrators, developers, and business stakeholders.

Required Education, Experience, & Skills:

  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, Mathematics, or a related field, or equivalent combination of education and relevant experience.
  • 2+ years of professional experience in data analysis, business intelligence, reporting, or a related discipline.
  • Experience using SQL to query and analyze data.
  • Experience developing reports, dashboards, or data visualizations using Power BI or a similar BI platform.
  • Experience working with data from relational databases or multiple data sources.
  • Understanding of data analysis, data validation, and data quality concepts.
  • Strong analytical and problem-solving skills.
  • Ability to translate data into clear and understandable reports and visualizations.
  • Strong attention to detail and ability to identify inconsistencies or anomalies in data.
  • Strong written and verbal communication skills.
  • Ability to work independently while collaborating effectively with technical and business stakeholders.
Preferred Qualifications
  • Advanced Power BI experience, including DAX and Power Query.
  • Experience with SQL Server, Oracle, PostgreSQL, or similar databases.
  • Advanced Microsoft Excel skills, including PivotTables, Power Query, and complex formulas.
  • Experience with Tableau, Qlik, or other BI platforms.
  • Experience developing executive, operational, or management dashboards.
  • Experience with data modeling and analytical datasets.
  • Experience with Python, R, or other analytical programming languages.
  • Experience with data warehousing.
  • Experience with data quality or data governance practices.
  • Experience supporting complex enterprise environments.
  • Experience supporting U.S. government or federal contracting programs.
  • Active or previously held U.S. government security clearance.

The Perks of Being on Our Team
ApplyLogic offers competitive salaries with a robust Fortune-500 type benefits package. Some of the benefits you will receive when you join us are: 
  • Employee Assistance Program
  • 401K
  • Medical/Dental/Vision Insurance
  • Life/Short-Term Disability/Critical Illness/Accident Insurance
  • 15 PTO Days 
  • 11 Federal Holidays
  • Up to $5K towards continuing education and/or professional development 

Salary Range
$75,000-$95,000
The posted salary range represents the anticipated compensation for this position. Final compensation will be based on the selected candidate's qualifications, years of directly relevant experience, education, certifications, security clearance, contract requirements, and other business considerations.