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Compensation Data Analytics Jobs in Virginia (NOW HIRING)

Osaic

Senior Compensation Analyst

Petersburg, VA · Hybrid

$100K - $125K/yr

This role will play a critical part in stabilizing and modernizing compensation practices, with an immediate focus on data integrity, job architecture refinement, and scalable analytics. Operating in ...

USO

Compensation & Job Analyst

Arlington, VA · On-site

... Compensation & Job Analyst provides client support, project management and program execution and ... Provide data-driven pay recommendations based on market data and internal pay equity.* * Ensure ...

USO

... Compensation & Job Analyst provides client support, project management and program execution and ... Provide data-driven pay recommendations based on market data and internal pay equity.* * Ensure ...

USO

Compensation & Job Analyst

Arlington, VA · On-site

... Compensation & Job Analyst provides client support, project management and program execution and ... Provide data-driven pay recommendations based on market data and internal pay equity.* * Ensure ...

Maximus

Senior Engineer - Data Analytics

VA · On-site +1

$106K - $144K/yr

Primarily engaged in building and supporting data, analytics, and business intelligence ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

Dollar Tree

Specialist - Compensation

Chesapeake, VA · On-site

$72K - $80K/yr

... analytical experience (retail or distribution experience a plus). * Strong Excel and HRIS skills with a passion for data accuracy, Workday experience preferred. * Knowledge of compensation principles ...

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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
Data Analytics Manager II

Data Analytics Manager II

Bloomberg Industry Group

Arlington, VA

$105K - $135K/yr

Full-time

Posted 8 days ago

Job description

Drives meaningful business impact by transforming complex data into strategic insights and high-leverage recommendations. This role partners closely with cross-functional teams to design and instrument scalable data solutions, build robust pipelines, and uncover actionable patterns across the internal and external customer journey. By applying best-in-class analytics practices and aligning with broader business strategy, this individual develops intelligent, forward-looking BI solutions that directly improve decision-making, operational efficiency, and revenue outcomes.

What you will do:

  • Lead the end-to-end analytics process, for relevant systems, including quality assurance, auditing, and governance to ensure data integrity and usability across platforms.
  • Analyze customer behavior, feature adoption, usage patterns, and performance metrics to uncover trends and deliver actionable recommendations that enhance product value and business outcomes.
  • Design, build, and maintain scalable dashboards and reports that provide visibility into KPIs, success metrics, and end user customer engagement of relevant system.
  • Develop forecasting models and dashboards to support and measure impact of strategic planning or product utilization.
  • Manage and innovate data sets and data platforms, ensuring scalable, high-performing, and compliant data assets across the organization.
  • Partner with teams across the organization to align data initiatives, define KPIs, and democratize access to insights through self-service tools and training.
  • Own and drive cross-functional relationships across the business, act as the liaison between the analytics team and key business stakeholders across these teams.
  • Implement and maintain data collection systems, and quality control strategies to optimize statistical efficiency and data quality.
  • Translate complex data into clear, compelling narratives and visualizations for non-technical stakeholders, enabling informed decision-making at all levels.
  • Partner with Engineering to manage analytics tools ensuring smooth data flow and governance.
  • Champion responsible data use, ensuring adherence to internal policies and external regulations.

You need to have:

  • Bachelor's degree in Business, Mathematics, Statistics, Computer Science, related field, or equivalent practical experience.
  • 5+ years of data analysis experience, leveraging descriptive and predictive techniques on large, complex datasets from multiple sources.
  • 3+ years of experience working with large datasets from diverse sources, producing actionable reports, and presenting findings.
  • 3+ years of experience presenting insights to senior leadership or high-level audiences.
  • 1+ years of experience uncovering data insights to form hypotheses, designing product experiments, evaluating results, and making recommendations.
  • Strong experience in product analytics, sales analytics, or data strategy roles.
  • Strong analytical skills to organize, analyze, and communicate complex data with accuracy and detail.
  • Skilled in collaborating with stakeholders, translating requirements into actionable analytical solutions.
  • Ability to manage priorities in fast-paced environments while independently managing analytics projects from scoping to delivery.
  • Effective communication skills: Regularly achieve consensus with peers, explain complex data concepts to non-technical stakeholders, and provide clear status updates
  • Proficiency in SQL, Python, and BI tools (e.g., Tableau, Power BI).
  • Deep understanding of customer journey analytics, KPI development, and data storytelling.
  • Experience managing large-scale datasets, data platforms, and pipelines.
  • Proven ability to lead cross-functional projects.
  • Excellent communication and stakeholder engagement skills.
  • Familiarity with data privacy standards and compliance best practices.

Special Requirements:

  • Candidates may be required to pass a test for this position.

Compensation Range:

$105,000.00-$135,000.00

Placement in the salary range will be decided upon completion of the interview process. Salary determination will be determined based on factors including but not limited to relevant experience, demonstrated skills related to the requirements of the role, education, certifications, and geographic location.


Equal Opportunity


Bloomberg Industry Group maintains a continuing policy of non-discrimination in employment. It is Bloomberg Industry Group's policy to provide equal opportunity and access for all persons, and the Company is committed to attracting, retaining, developing, and promoting the most qualified individuals without regard to age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or maternity/parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law ("Protected Characteristic"). Bloomberg prohibits treating applicants or employees less favorably in connection with the terms and conditions of employment, in all phases of the employment process, because of one or more Protected Characteristics ("Discrimination").

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