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Compensation Data Analytics Jobs in Tennessee (NOW HIRING)

Data & Analytics Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data & Analytics Engineer Category: Analytics and Emerging Digital Technologies Main location ... Compensation decisions are dependent on the facts and circumstances of each case. A reasonable ...

Zipliens is looking for a Data & Analytics Manager to join our team, building the data foundation ... Final compensation will be determined based on skills and experience. Work Authorization:

Zipliens is looking for a Data & Analytics Manager to join our team, building the data foundation ... Final compensation will be determined based on skills and experience. Work Authorization:

Zipliens is looking for a Data & Analytics Manager to join our team, building the data foundation ... Final compensation will be determined based on skills and experience. Work Authorization:

Maintain, update, and analyze compensation data and trends to ensure consistency of program administration. Identify issues and provide recommendations based on research, analysis and internal ...

Maintain, update, and analyze compensation data and trends to ensure consistency of program administration. Identify issues and provide recommendations based on research, analysis and internal ...

Maintain, update, and analyze compensation data and trends to ensure consistency of program administration. Identify issues and provide recommendations based on research, analysis and internal ...

Partner cross-functionally with Marketing Insights, Data Analytics, Regional Business Marketing ... In addition, other compensation, such as an annual incentive bonus, sales commission or long-term ...

Partner cross-functionally with Marketing Insights, Data Analytics, Regional Business Marketing ... In addition, other compensation, such as an annual incentive bonus, sales commission or long-term ...

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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?

In data analytics, senior roles such as Data Analytics Director, Chief Data Officer, or Lead Data Scientist tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in statistical analysis, machine learning, and experience with tools like SQL, Python, or R, along with leadership responsibilities.

What jobs pay 200,000 a year in the USA?

In compensation data analytics, senior roles such as Compensation Managers, Compensation Directors, and Compensation Vice Presidents often earn $200,000 or more annually, especially with extensive experience and certifications like CCP or CBP. High-level data analysts and consultants in compensation may also reach this salary level, particularly in large organizations or consulting firms. These roles typically require advanced analytical skills, knowledge of compensation structures, and proficiency with data tools like Excel, SQL, or Tableau.

What jobs pay 500,000 a year?

In compensation data analytics, senior roles such as Chief Compensation Officer or compensation consultants with extensive experience and specialized skills can earn $500,000 or more annually. These positions often require advanced degrees, certifications, and a deep understanding of compensation strategies, market trends, and data analysis tools. High-level executive roles across various industries may also reach or exceed this salary level.

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.

Is AI replacing data analysts?

AI is transforming the role of compensation data analysts by automating routine data processing and analysis tasks, allowing analysts to focus on strategic insights and decision-making. While AI tools can enhance efficiency, human expertise remains essential for interpreting complex data, ensuring data quality, and applying context-specific judgment. The role continues to evolve with skills in data visualization, statistical analysis, and AI tool proficiency becoming increasingly valuable.
What job categories do people searching Compensation Data Analytics jobs in Tennessee look for? The top searched job categories for Compensation Data Analytics jobs in Tennessee are:
What cities in Tennessee are hiring for Compensation Data Analytics jobs? Cities in Tennessee with the most Compensation Data Analytics job openings:
Compensation Analyst - Hybrid

Compensation Analyst - Hybrid

Surgery Partners

Brentwood, TN • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Surgery Partners rating

7.6

Company rating: 7.6 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

187th of 872 rated healthcare providers


Job description

This is a hybrid position based at our corporate office in Brentwood, TN, with on-site work required Monday through Wednesday.

Key Responsibilities
  • Conduct job evaluations and support job leveling using internal job frameworks and market data (20%)
  • Partner with HR Business Partners to provide compensation guidance, analysis, and support for pay-related decisions (15%)
  • Support equity compensation programs, including stock grants, vesting schedules, and reporting in partnership with Finance (15%)
  • Participate in annual compensation processes, including merit increases, incentive planning, and market adjustments (15%)
  • Assist with the administration of annual and discretionary bonus programs, including eligibility and calculations (15%)
  • Support compensation data integrity reviews, compliance activities, and audit requests (10%)
  • Assist with compensation due diligence for acquisitions, including data collection and analysis (10%)
QualificationsEducation
  • Bachelor’s degree in Human Resources, Business, Finance, or a related field
  • Equivalent combination of education and experience may be considered in lieu of a degree
Experience
  • Minimum of 2 years of experience in compensation
  • Some experience with equity compensation administration preferred
  • Experience analyzing compensation data to identify trends, inconsistencies, and pay issues
  • Preferred experience supporting annual merit, bonus, and equity compensation cycles
  • Healthcare industry experience preferred
Licenses & Certifications
  • Compensation-related certification preferred (e.g., CCP)
Knowledge, Skills, and Abilities
  • Working knowledge of compensation principles and practices
  • Strong analytical skills with the ability to interpret compensation and equity data
  • Ability to work with highly confidential and sensitive information with discretion
  • Strong attention to detail and commitment to data accuracy
  • Ability to manage multiple priorities in a deadline-driven environment
  • Proficiency in Microsoft Excel, including formulas, lookups, and basic data analysis
  • Ability to collaborate effectively with HR, Finance, and cross-functional stakeholders
Core HR Competencies
  • Intellectual Curiosity & Empathy: Desire to understand the business and workforce; supports workforce strategy aligned with business goals
  • Problem Solving: Collaborates with leaders to address workforce challenges proactively
  • Risk-Taking & Courage: Comfortable challenging perspectives and offering alternative solutions
  • Digital Acumen: Uses people-related data to inform workforce strategy and planning
  • Business Acumen: Communicates in business terms and understands organizational operations
  • Networking: Builds relationships internally and externally to support decision-making
  • Change Management: Anticipates change impacts and supports transformation initiatives
  • Discretion: Maintains confidentiality and earns trust with sensitive information
Competencies
  • Agility & Resourcefulness: Adapts quickly and navigates ambiguity effectively
  • Bias to Action: Takes initiative and moves forward with sound judgment
  • Delivering Results: Maintains focus and resilience despite obstacles
  • Customer Focus: Understands internal and external customer needs
  • Managing Complexity: Distills complex information and identifies root causes
  • Conflict Management: Addresses disagreements constructively and respectfully

    Benefits:

    • Comprehensive health, dental, and vision insurance
    • Health Savings Account with an employer contribution
    • Life Insurance 
    • PTO
    • 401(k) retirement plan with a company match
    • And more! 

    ENVIRONMENTAL/WORKING CONDITIONS: Normal busy office environment with much telephone work. Possible long hours as needed. The description is intended to provide only basic guidelines for meeting job requirements. Responsibilities, knowledge, skills, abilities and working conditions may change as needs evolve.

    *If you are viewing this role on a job board such as Indeed.com or LinkedIn, please know that pay bands are auto assigned and may not reflect the true pay band within the organization.

    *No Recruiters Please


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