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Compensation Data Analytics Jobs in Kansas (NOW HIRING)

... , and basic data analytics, with opportunities to develop these skills over time. Essential Duties: Functional Operations * Support the administration of compensation actions such as offers ...

Senior Data Analyst

Minneapolis, KS · On-site

$72K - $96K/yr

Sr. Data Analyst Compensation: Starting salary of $72,000 to $96,000 plus gainsharing bonuses. Location: Minneapolis, KS or Sidney, NE office (dependent on candidate's location) Support data-driven ...

By leveraging your advanced analytics and SQL expertise, you'll transform data into actionable ... Our policy is to provide employment, training, compensation, promotion, and other conditions or ...

By leveraging your advanced analytics and SQL expertise, you'll transform data into actionable ... Our policy is to provide employment, training, compensation, promotion, and other conditions or ...

The Compensation Analyst is responsible for administering and assisting in the development of ... Initiates data gathering for participation and completion of salary surveys conducted by third ...

Sr Compensation Analyst

Leawood, KS · On-site

$80K - $105K/yr

Market Benchmarking & Analytics * Evaluate jobs and conduct market benchmark analyses, resulting in recommended job levels, pay ranges and compensation actions. * Prepare data submissions for ...

Data Analysis & Insights: * As a Senior analyst, collect, process, and analyze contact center ... Compensation: $80,000 - $124,000 Work Schedule: Hybrid - 3 days in office At this time, GEICO will ...

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

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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 jobs in the US pay 300,000 a year?

In compensation data analytics, senior roles such as Compensation Directors, Compensation Managers, and Compensation Consultants can earn $300,000 or more annually, especially with extensive experience, advanced certifications like CCP or CBP, and working in large organizations or consulting firms. High-level executive positions in compensation or HR, such as Chief Compensation Officer, also typically 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.
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 cities in Kansas are hiring for Compensation Data Analytics jobs? Cities in Kansas with the most Compensation Data Analytics job openings:

Sales Compensation Analyst

SafetyCulture

Kansas City, KS • On-site

Full-time

Posted 14 days ago


Job description

Why join us?
We're a global tech company,  just not the kind you're picturing.

Our team of nearly a thousand people wakes up every day to make our product and our customers' lives better. At SafetyCulture, you'll hear "yes, let's give it a shot" more often than "that's not how we do things here."

People join because we're building tools that make work better for the 3 billion people who keep the world moving - factory floor operators, baggage handlers, truck drivers, servers, store assistants. The ones who make things happen. We've got the scale and innovation you'd expect from big tech. The difference? No endless layers of sign-off. No corporate theatre. Just smart, experienced people solving real problems fast 

The scale is big. But the ownership's personal. Every full-time team member gets equity - real skin in the game. When we grow, you do too. We're not perfect, no company is. But this next chapter of our growth is about scaling with intelligence, not just size - fueled by operational maturity, a clear vision, and a strong focus on AI. 

This is big tech impact, without the big tech ick. If that excites you more than it scares you, you'll fit right in.

The Role
This role exists to ensure the accuracy, timeliness, and integrity of SafetyCulture's commission plan administration - reducing payout errors, resolving compensation queries at pace, and maintaining Incentive Compensation Management (ICM) tool health as our Go-to-Market (GTM) headcount scales.
How you will spend your time:
  • Own the end-to-end administration of the ICM platform ensuring commission calculations are accurate and payouts are processed on time each period.

  • Maintain plan configuration in the ICM tool - building and updating logic as plan design evolves, and validating changes ahead of each payout cycle.

  • Investigate and resolve compensation discrepancies and disputes, delivering clear, well-documented resolutions to reps and managers within agreed service levels.

  • Produce monthly accrual data and submit to Finance within cycle deadlines, with figures reconciled against actuals before submission.

  • Support the monthly and quarterly compensation reporting cadence, including payout summaries, attainment reporting, and exception tracking for leadership.

  • Partner with Revenue Operations (RevOps), Finance, and People & Culture (P&C) to ensure data flowing into the ICM tool is accurate - including headcount changes, quota updates, and plan eligibility.

  • Experience leading or supporting an ICM platform migration - including data mapping, parallel testing, and stakeholder validation - is highly desirable.

  • Establish and maintain process documentation and standard operating procedures for administration workflows, supporting audit readiness and team continuity.

  • Identify opportunities to automate or streamline manual administration processes and drive those improvements through to implementation.

 
About you:

Technical Skills

  • Hands-on experience configuring, administering, and troubleshooting ICM platforms such as SPIFF or CaptivateIQ - including plan logic build, exception handling, and full payout cycle management.

  • Strong command of compensation data - comfortable manipulating and validating large datasets in Excel or Google Sheets, with SQL or similar.

  • Established background in a Revenue Operations (RevOps) environment, with depth across compensation administration, data workflows, and cross-functional stakeholder management.

  • Solid understanding of commission plan mechanics - accelerators, draws, clawbacks, multi-currency payouts, and role-based eligibility rules.

  • Familiarity with the end-to-end compensation cycle from accrual to payout, including Finance reconciliation and audit trail requirements.

Behavioural Skills

  • Meticulous attention to detail - catches errors before they become disputes, not after.

  • Self-directed and autonomous; manages competing close-period deadlines without needing close oversight.

  • Translates complex compensation logic into plain language when explaining outcomes to reps and managers.

  • Surfaces issues early with a recommended path forward - doesn't wait until payout day to flag a problem.

  • Builds credibility with GTM stakeholders through accurate, consistent work and responsive human-centered communication.

AI Skills

  • Uses AI tools to accelerate compensation data analysis, surface anomalies in payout datasets, and draft routine communications to reps and managers.

  • Evaluates AI-generated outputs critically before acting on them - particularly in high-stakes payout contexts where an unchecked error affects people's pay.

Success in this role looks like:
  • Payout accuracy exceeds 99% within two full cycles of being onboarded.

  • Manages an active ticket queue with clear SLA discipline - provides timely acknowledgements, substantive updates, and resolution summaries that reps and managers can understand without follow-up.

  • Accrual submissions are on time each period, with reconciled figures that don't require rework by Finance.

  • ICM platform configuration is documented and audit-ready at all times.

  • At least one material manual process is identified and automated within the first six months.

What You Need to Know:
  • Hybrid working arrangements
  • This role follows strict monthly and quarterly payroll and accrual deadlines, availability during close periods is a firm requirement.

  • Handles commercially sensitive compensation data - discretion and adherence to data security standards are non-negotiable.

  • No significant travel expected.

At SafetyCulture, we care about people and growing the team, through
  • Equity with high growth potential, and a competitive salary
  • Flexible working arrangements, we encourage you to create the best work blend while working from your home and the local SafetyCulture office;
  • Access to professional and personal training and development opportunities; Hackathons, Workshops, Lunch & Learns;
  • We encourage involvement in the community, open source work, attending talks and events, and experimenting with new technologies.
We're committed to building inclusive teams and cultivating a sense of belonging so our people can bring their whole authentic selves to work each day. We seek to make reasonable adjustments throughout our recruitment process to create an even playing field for all candidates. Thanks to the tireless efforts of the entire SafetyCulture team we've built an incredible culture which has seen us recognised as a Best Place to Work in Australia , the US and the UK.

Even if you don't meet every requirement listed in the ad, please consider applying for this role. We prioritise inclusion and value individuals with potential over a checklist of qualifications. Don't rule yourself out, hit that apply button if this job resonates with you.

You can find out more about life at SafetyCulture via Youtube , Twitter , Instagram and LinkedIn .

To all recruitment agencies, we do not accept resumes or partnership opportunities. Please do not forward resumes to SafetyCulture or any of our employees. We are not responsible for any fees associated with unsolicited resumesWe're committed to building inclusive teams and cultivating a sense of belonging so our people can bring their whole authentic selves to work each day. We seek to make reasonable adjustments throughout our recruitment process to create an even playing field for all candidates. Thanks to the tireless efforts of the entire SafetyCulture team we've built an incredible culture which has seen us recognised as a Best Place to Work in Australia , the US and the UK .

Even if you don't meet every requirement listed in the ad, please consider applying for this role. We prioritise inclusion and value individuals with potential over a checklist of qualifications. Don't rule yourself out, hit that apply button if this job resonates with you

You can find out more about life at SafetyCulture via Youtube , Twitter , Instagram and LinkedIn .

To all recruitment agencies, we do not accept resumes or partnership opportunities. Please do not forward resumes to SafetyCulture or any of our employees. We are not responsible for any fees associated with unsolicited resumes.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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