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Compensation Data Analytics Jobs in Washington (NOW HIRING)

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

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:

New

Work with the HRIS to evaluate and implement new Workday features for compensation; support analytics and dashboard projects requiring compensation data; ensure new configurations are accurately ...

Director, Compensation

Washington, DC · On-site

$151K - $230K/yr

Oversee the preparation of comprehensive analyses using internal and external compensation data. * Advise and consult with management on compensation matters, including s, salary management ...

Director, Compensation

Washington, DC · On-site

$151K - $230K/yr

Oversee the preparation of comprehensive analyses using internal and external compensation data. * Advise and consult with management on compensation matters, including s, salary management ...

DCI Consulting Group is a leading Human Resources (HR) risk management and workforce analytics firm ... Conduct market benchmarking using survey data platforms and publicly available sources * Assist in ...

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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 Washington? For Compensation Data Analytics jobs in Washington, the most frequently searched job titles are:
What cities in Washington are hiring for Compensation Data Analytics jobs? Cities in Washington with the most Compensation Data Analytics job openings:

Manager, Data Analytics

Sallie_mae

Sterling, VA • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 21 days ago


Job description

When you join Sallie Mae, you become a champion for all students.

We're on a mission to power confidence as students begin their unique journey. To help them plan their higher education, successfully finish, and prepare for life after school. To help them Start smart. Learn big.

Students need guidance navigating this important time in their life. They need someone who acknowledges that their education path is unique. They need a partner willing to evolve and not only meet but surpass their expectations. We're changing. Because students need a better way.

We're looking for people who are excited to drive this transformation. To break barriers and think of new ways to adapt, help, and create better experiences for students-and for each other.

This is where diverse backgrounds, beliefs, and perspectives matter. It's where you're empowered to bring your authentic self to work.

Feeling your best allows you to do your best. Our benefits take care of the whole you-from physical and mental to financial and professional. You'll get opportunities to further your education and career, support for you and your family (including your pets!), paid time off to volunteer for the things that matter to you, and more.

We're obsessed with impact and making a real difference. For us, that means putting relationships first, asking "why not?" when tackling challenges, and continuously learning new skills.

Come do more than join something, change something. For students, for future generations, for the future of education.

What You'll Contribute

As the Manager of Data Analytics, you will be responsible for leading a team of data analysts to develop insights that drive business growth and optimization. You will be responsible for analyzing complex data, identifying patterns and trends, and presenting findings to inform decision making at all levels of the organization.

What You'll Do

  • Lead a team of data analysts to develop and implement analytical frameworks to uncover insights and improve business performance.

  • Analyze complex data sets to identify patterns and trends that will drive business growth.

  • Develop models and forecasts to support business planning and decision-making.

  • Present findings and recommendations to senior leadership to influence strategic decision-making.

  • Collaborate with cross-functional teams to understand business objectives and provide insights to inform business strategies.

  • Ensure data integrity and accuracy by monitoring data sources and implementing quality control processes.

  • Stay up-to-date with industry trends and emerging technologies to drive innovation and continuous improvement.

The above information is intended to describe the general nature and level of work performed by employees assigned to this job; it is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees in this role.

What you have

Minimum: Indicate minimum education, skills and experience required.

  • Demonstrated ability to lead and manage analytics projects and deliver high-quality analytics insights and recommendations.

  • Excellent communication skills, with the ability to present complex data in a clear and concise manner to stakeholders at all levels of the organization.

  • Strong problem-solving and critical thinking skills.

  • Demonstrated ability to work collaboratively across departments and functions.

  • Familiarity with data visualization tools such as Tableau, Power BI, or similar.

  • Experience with SQL, Python, R, or other programming languages commonly used in analytics.

Preferred: Indicate "nice to haves" regarding education, skills, and experience.

  • Bachelor's or Master's degree in mathematics, statistics, economics, computer science, or related field.

  • 5+ years of experience in prescriptive and predictive analytics, with at least 2 years of experience managing a team of analysts.

  • Experience in financial services, lending space

  • Experience with leveraging GenAI for reporting and analytics.

The Americans with Disabilities Act

The Americans with Disabilities Act of 1990 (ADA) prohibits discrimination by employers, in compensation and employment opportunities, against qualified individuals with disabilities who, with or without reasonable accommodation, can perform the "essential functions" of a job. A function may be essential for any of several reasons, including: the job exists to perform that function, the employee holding the job was hired for his/her expertise in performing the function, or only a limited number of employees are available to perform that function.

Feeling your best helps you do your best:Our benefits take care of the whole you-so you can build your work around your life (not the other way around!).
  • Competitive base salaries

  • Bonus incentives

  • Generous PTO, Floating Holidays and 12 Federal Holidays observed

  • Support for financial-well-being and retirement401k with employer match

  • Comprehensive medical, dental, vision, hospital indemnity, critical illness, pet insurance and more

  • Employer paid short-term/long-term disability and basic life insurance

  • Flexible hybrid working arrangements.

  • Paid parental leave and adoption reimbursement programs

  • Free access to on-site staffed fitness centers (in Delaware) and gym subsidy (for locations outside Delaware)

  • Confidential counseling support (EAP), Health Advocacy services and Wellness program with financial incentives

  • Tuition Reimbursement and Family Scholarship Programs

  • Career development and training opportunities

Not the right fit? Let us know you're interested in a future opportunity by clickingIntroduce Yourselfin the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Sallie Mae is proud to be an equal opportunity (EEO) employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, sexual orientation, national origin, age, genetic information, gender identity, disability, Veteran status or any other characteristic protected by federal, state or local law. Click hereto view the U.S. Pay Transparency Policy, here for federal job applicant notices, and here to view the California Employee Privacy Notice.
Reasonable accommodations are available for applicants with disabilities in all phases of the application and employment process. To request an accommodation please call (855) 756-2007 and choose option 9. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.