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Compensation Data Analytics Jobs in Kansas (NOW HIRING)

WaterOne

Supervisor-Total Rewards

Lenexa, KS · On-site

Maintains accurate compensation data and documentation, ensures compliance with applicable laws and regulations, and provides reporting and analysis to inform organizational decision-making.

Varsity Tutors

Data Analysis Tutor

Wichita, KS · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching ...

Varsity Tutors

Data Analysis Tutor

Overland Park, KS · Remote

$18 - $40/hr

Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions ... analytics positions, and data-driven decision-making responsibilities. * Conceptual Teaching ...

JLL

Senior Analytics Specialist

Wichita, KS · Remote

Overlay client insights, market data, and research to enrich analytics and enable JLL solution ... Estimated compensation for this position: 90,000.00 - 110,000.00 USD per year This range is an ...

Clarivate

Data Security Analyst

Overland Park, KS · On-site

Data Security Analyst We are looking for a Data Security Analyst to join our Information Security ... hiring, compensation, promotion, training, and other terms, conditions, and privileges of ...

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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 are popular job titles related to Compensation Data Analytics jobs in Kansas? For Compensation Data Analytics jobs in Kansas, the most frequently searched job titles are:
What job categories do people searching Compensation Data Analytics jobs in Kansas look for? The top searched job categories for Compensation Data Analytics jobs in Kansas are:
What cities in Kansas are hiring for Compensation Data Analytics jobs? Cities in Kansas with the most Compensation Data Analytics job openings:
Compensation Data Analytics jobs near you
Data DevOps Analyst

Data DevOps Analyst

Children's Hospital Association

Lenexa, KS • Hybrid

$82K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 days ago

Key responsibilities

  • Support, maintain, develop, and deploy data pipeline and data visualization platforms and related applications.

  • Oversee release management activities, including upgrades, installations, configuration, and administration across data and analytics environments and their interfacing systems.

  • Design, build, and maintain data pipelines and ETL workflows to support reliable, scalable, and secure analytics solutions.

Job description

Data DevOps Analyst
Hybrid in Lenexa, Kansas
Join us in shaping a healthier future for kids. At Children’s Hospital Association, we unite more than 200 member hospitals to put children first—advancing care, informing policy, and driving progress together.
Where You’ll Work
This position is based in our Lenexa, KS office. We leverage a hybrid working model working three days in the office, two days optional remote work.
What You’ll Do
The Data DevOps Analyst is responsible for the support, maintenance, development, and deployment of CHA’s data pipeline and data visualization platforms and related applications. This role oversees release management activities, including upgrades, installations, configuration, and administration across data and analytics environments and their interfacing systems. Additionally, the DevOps Engineer designs, builds, and maintains data pipelines and ETL workflows to support reliable, scalable, and secure analytics solutions.
  • Administer Tableau environments across multiple sites, ensuring security standards, access controls, permissions, and configurations are consistently applied.
  • Oversee production change control processes for all data‑related applications.
  • Proactively monitor system health and performance, investigate and resolve failures, identify trends, and tune systems to prevent potential issues.
  • Manage and maintain external data source integrations with Tableau to ensure reliable data refresh and connectivity.
  • Provide administrative and technical support for legacy environments, including upgrades, patching, configuration, and security administration.
  • Respond to and resolve customer support tickets, coordinating with stakeholders to ensure timely issue resolution.
  • Design and develop data ingestion and ETL pipelines, automating processes to improve reliability and operational efficiency.
  • Monitor scheduled ETL workflows; proactively diagnose and resolve complex failures, performance issues, and data inconsistencies
  • Compile, validate, and organize data sets to support business reporting requests and project requirements.
  • Participate in peer reviews, unit testing, data validation, and troubleshooting to ensure accuracy, performance, and reliability of data pipelines.
What You’ll Bring to CHA
Any combination of education and experience providing the required skill and knowledge is qualifying:
  • Bachelor’s degree in computer science, or STEM related field is preferred, or an equivalent combination of education, training, and experience.
  • Minimum of three years of experience in data management and/or system engineering.
  • Solid understanding of software development principles and coding best practices.
  • Strong working knowledge of SQL and relational database management systems.
  • Hands‑on experience with Windows‑based server installation and administration, including a solid understanding of Windows Server operating systems, security concepts, and computer networking.
  • Experience with cloud computing platforms.
  • Experience working within SDLC and DevOps practices, including use of code repositories.
  • Strong interpersonal, communication, and problem‑solving skills in. a team‑based development environment.
Preferred Experience:
  • Exposure to data visualization tools.
  • Experience working with healthcare data.
  • Experience working with Microsoft Azure and Azure Data Factory.
Our Perks and Benefits:
  • Competitive total compensation package
  • Medical, dental and vision insurance
  • Retirement Savings program with generous company contribution
  • Hybrid working model
  • Health Savings Account with company contribution
  • Wellness program
  • Paid time off and personal days
  • 9 paid holidays
  • Paid Parental Leave
  • And more!
More About CHA
This pay range shown is a guideline. Min: $82,000 Max: $140,000 Compensation is based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 
Diversity, Equity and Inclusion
CHA is committed to advancing diversity, equity and inclusion within our organization, our membership, the care delivery of children’s hospitals and their communities and through the federal policymaking environment. With children’s hospitals we strive to ensure organizational cultures where everyone feels valued and actively participates in the mission of our organizations. Racism stands firmly in the way of improving children’s health. We remain vigilant in our quest for a diverse and inclusive community and in standing against racism and discrimination wherever it exists.
Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, and protected veteran status, or disability status.
Visa sponsorship is not available for this position.

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