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Compensation Data Analytics Jobs in Virginia (NOW HIRING)

Boeing

Data Analytics Lead

Arlington, VA · On-site

Data Analytics Lead Company: The Boeing Company Boeing Enterprise Classified Security is seeking a ... Elements of the Total Rewards package include competitive base pay and variable compensation ...

Boeing

Data Analytics Lead

Arlington, VA · On-site

Data Analytics Lead Company: The Boeing Company Boeing Enterprise Classified Security is seeking a ... Elements of the Total Rewards package include competitive base pay and variable compensation ...

[solidcore]

Compensation Analyst

Arlington, VA · On-site

... 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

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

Apply Early

[solidcore]

Compensation Analyst

Arlington, VA · On-site

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

Guidehouse

Data & Analytics Consultant

Arlington, VA · On-site

$89K - $148K/yr

Translate business questions into data-driven analyses, dashboards, reports, and actionable ... Compensation decisions depend on a wide range of factors, including but not limited to skill sets ...

Sallie_mae

Manager, Data Analytics

Sterling, VA

Analyze complex data sets to identify patterns and trends that will drive business growth ... compensation and employment opportunities, against qualified individuals with disabilities who ...

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

Data Analytics Developer, Senior

Arlington, VA · On-site

Data Analytics Developer, Senior Category: Project Management Main location: United States ... Compensation decisions are dependent on the facts and circumstances of each case. A reasonable ...

ColonialWebb

Compensation Manager

Richmond, VA · On-site

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 +1

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 ...

Dollartree

Compensation Analyst (on-site)

Chesapeake, VA · On-site

$75K - $81K/yr

Compensation Analyst (on-site) Your knowledge of experience with Compensation, Data Analysis, along with your advanced Microsoft Excel experience, make you a great fit for our Compensation Analyst ...

Dollar Tree

Compensation Analyst (on-site)

Chesapeake, VA · On-site

$75K - $81K/yr

Compensation Analyst (on-site) Your knowledge of experience with Compensation, Data Analysis, along with your advanced Microsoft Excel experience, make you a great fit for our Compensation Analyst ...

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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.

What is the highest paying job in data analytics?

The highest paying roles in data analytics typically include Data Science Directors, Chief Data Officers, and Analytics Executives, with salaries often exceeding $150,000 annually. These positions require advanced skills in statistical analysis, machine learning, and leadership, and are usually found in large corporations or tech companies.

What jobs make $1,000,000 a year?

In compensation data analytics, roles such as chief data officer, senior data scientist, or executive-level positions in finance and technology can reach or exceed $1 million annually, often through base salary, bonuses, and stock options. These high earnings typically require extensive experience, advanced skills in data modeling and analytics tools, and leadership responsibilities. Such compensation is more common in large corporations or successful startups with significant revenue and growth potential.

Will AI replace a data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain expertise. Therefore, while AI may augment a data analyst's work, it is unlikely to fully replace the role in the near future.

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 jobs pay 500,000 a year in the US?

In compensation data analytics, senior roles such as Chief Compensation Officer or Compensation Director can reach or exceed $500,000 annually, especially in large corporations or industries with high compensation packages. These positions often require extensive experience, advanced certifications, and expertise in data analysis, market trends, and compensation strategy.
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

Compensation Analyst

CACI International, Inc.

Reston, VA • On-site

Full-time

Medical, Retirement, PTO

Posted 13 days ago

Job description

Job Title: Compensation Analyst
Job Category: Human Resources
Time Type: Full time
Minimum Clearance Required to Start: None
Employee Type: Regular
Percentage of Travel Required: Up to 10%
Type of Travel: Local
* * *
The Opportunity:
CACI is looking for a driven and detail-oriented Compensation Analyst to join a dynamic team that collaborates in the development, implementation and optimization of CACI's compensation programs. In this role, you will leverage your knowledge in compensation, data management, and statistics to manage large, complex data sets with a high degree of accuracy. This position will report to the Executive Director, Enterprise Compensation with a dotted line to the Executive Director, Executive & Incentive.
Responsibilities:
  • Provide support to the Compensation team by developing relevant metrics, reporting, regressions and analytics for presentations and training materials.
  • Consolidate and analyze data sets to diagnose and identify opportunities, model alternatives and inform compensation decisions.
  • Create executive-ready compensation analysis and deliverables in excel, power point or word document format.
  • Support the annual compensation planning process with data preparation, testing, analysis and reporting in Workday and excel.
  • Perform job mapping and market pricing for roles at CACI.
  • Support the Executive Review process by providing peer group and external market analysis and proposing compensation options that are in-line with CACI compensation philosophy and policies.
  • Help maintain CACI's market pricing tools ensuring up-to-date information and data accuracy. Develop reports and dashboards using the tool's capabilities to perform various analyses.
  • Participate in compensation surveys. Compile and analyze survey data to provide pay recommendations.
  • Develop visual presentations, charts, graphs and dashboards to help translate complex data into understandable formats for stakeholders. Create templates that can condense large datasets into manageable and informative formats.
  • Work closely with the Data Analytics team to develop/enhance reports, dashboards, and communications in Workday.
  • Help improve internal processes to help the organization scale (e.g. compensation policies, market benchmarking etc.).

Qualifications:
Required
  • Bachelor's Degree in Finance, HR, Business Administration or related field
  • 3+ years of Compensation consulting experience
  • Experience in statistics, data analytics and data management
  • General Compensation, Sales Compensation and/or Executive Compensation experience
  • Excellent analytical and technical skills including advanced expertise in Excel, PowerPoint, Power BI and Workday HRIS, Payfactors.
  • Ability to work effectively with all levels of employees within the organization.
  • The ability to be comfortable and work independently with ambiguous directions in a fast-paced, change-oriented environment.

Desired:
  • Experience using and/or training AI tools to help manage and maintain data set
  • Strong interpersonal skills - including excellent written and oral communication skills.
  • Willing to take risks and tackle large, complex projects even if outside the scope of expertise.
  • Ability to see the big picture, while managing details.
  • Continuous learning mindset: takes advantage of ideas, best practices, and solutions developed elsewhere and effectively translates to CACI.

What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation.
An environment of trust.
CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy.
Pay Range:
There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.
The proposed salary range for this position is:
$86,600 - $181,800
CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

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