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Compensation Data Analytics Jobs in Virginia (NOW HIRING)

Compensation Manager - Tysons, VA

Tysons, VA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Data Analysis & Reporting: * Analyze compensation data to identify trends, gaps, and opportunities, providing actionable insights to leadership. * Prepare compensation reports, including pay equity ...

In this role, you will leverage data analytics, business intelligence, and reporting expertise to support strategic decision-making, improve compensation programs, and enhance workforce visibility ...

Data Analyst

Alexandria, VA · On-site

$99K - $144K/yr

  • Medical

  • Life

In this role, you will leverage data analytics, business intelligence, and reporting expertise to support strategic decision-making, improve compensation programs, and enhance workforce visibility ...

Data Analytics / Business Intelligence Overview: We are seeking a Senior Technical Data Analyst ... Collaborative environment within a reputed financial institution Compensation: Based on experience ...

Data Analyst

Arlington, VA · On-site

  • Retirement

  • PTO

Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Business, or related ... Compensation decisions are dependent on the facts and circumstances of each case. A reasonable ...

Data Analyst

Arlington, VA · On-site

  • Retirement

  • PTO

Bachelor's degree in Analytics, Statistics, Mathematics, Computer Science, Business, or related ... Compensation decisions are dependent on the facts and circumstances of each case. A reasonable ...

Showing results 41-60

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 cities in Virginia are hiring for Compensation Data Analytics jobs?

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

Product Strategy Analyst, Data & Analytics

McKesson

Richmond, VA • On-site, Remote

Full-time

Re-posted 4 hours ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

About the Role

McKesson Medical-Surgical is seeking a Product Strategy Analyst to support the development, optimization, and lifecycle management of data, analytics, automation, and AI-enabled products. In this role, you will help identify opportunities to create business value through data products, drive stakeholder engagement, evaluate product performance, and support product strategy initiatives from concept through adoption.

Reporting to the Director, Technical Product Management, you will partner with business leaders, analytics teams, data engineers, architects, data scientists, and technology stakeholders to deliver scalable solutions that improve decision-making and operational outcomes. This is a unique opportunity to help shape the future of data products and analytics innovation within a leading healthcare organization.

What You'll Do

  • Partner with business stakeholders to identify opportunities for data, analytics, automation, and AI solutions.
  • Contribute to business case development, product valuation, and prioritization efforts using value-versus-effort assessments.
  • Support the development and execution of data product roadmaps aligned with business objectives and enterprise analytics strategy.
  • Manage and improve data products throughout the product lifecycle, including ideation, planning, development, launch, adoption, optimization, and retirement.
  • Collaborate with data engineers, data architects, developers, data scientists, and technology partners to support delivery of proof-of-concepts (POCs), pilot programs, and minimum viable products (MVPs).
  • Define and track product success metrics, KPIs, adoption measures, and business outcomes.
  • Analyze product performance and user feedback to identify enhancement opportunities and drive continuous improvement.
  • Support stakeholder communications, change management activities, training initiatives, and adoption strategies.
  • Promote scalable analytics solutions and data literacy across the organization.
  • Monitor industry trends, emerging technologies, artificial intelligence capabilities, and data analytics best practices to identify innovation opportunities.
  • Serve as a trusted resource on data products, analytics capabilities, and business value realization.

Basic Requirements

  • Bachelor's degree or equivalent experience.
  • Typically requires 4+ years of relevant professional experience in product management, product strategy, business analytics, data analytics, technical product management, business intelligence, or related fields.
  • Experience working with cross-functional teams to deliver data, analytics, technology, or business process solutions.
  • Experience analyzing business requirements, identifying opportunities, and translating stakeholder needs into actionable product initiatives.
  • Experience using data and metrics to evaluate product performance and business outcomes.

Preferred Skills/Experience

  • Familiarity with artificial intelligence (AI), machine learning, generative AI, large language models (LLMs), and data science concepts.
  • Experience in healthcare distribution, healthcare supply chain, manufacturing, or related industries preferred.

Travel, Location & Physical Requirements

  • Candidate should be located in or near Richmond, Virginia.
  • Occasional travel may be required based on business needs.
  • General office environment with the ability to work on a computer for extended periods.

McKesson complies with all applicable U.S. immigration laws and regulations. The Company does not provide employer support or sponsorship for any immigration related employment benefit for this role.

Applicants must be currently authorized to work in the United States on a fulltime basis without the need for employer support or sponsorship now or in the future. This includes having the legal right to work in the United States without the need for McKesson support or sponsorship for any immigration related employment authorization (e.g., H1B, O1, E3, H1B1, TN, F1 OPT, F1 STEM OPT, F1 CPT, etc.) now or in the future.

If you will require McKesson to provide immigration support or sponsorship now or in the future, you should not apply for this position.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$92,600 - $154,400

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!


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