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Compensation Data Analytics Jobs in Kansas (NOW HIRING)

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 ...

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 ...

Contribute to the roadmap for HR analytics capabilities, including automation, predictive analytics ... compensation, talent development, and engagement. * Serve as a subject matter expert on HR metrics ...

Azure Data Architect

Overland Park, KS · On-site

$66.05 - $76.05/hr

Translate business and analytical requirements into logical and physical data models. * Define and ... Databricks certification Compensation at Accenture varies depending on a wide array of factors ...

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Bankwide incentive compensation program * 401K retirement plan with competitive company match

Data Architect

Topeka, KS · On-site

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Bankwide incentive compensation program * 401K retirement plan with competitive company match

Data Architect

Topeka, KS · On-site +1

$60 - $77.25/hr

Partner with engineering and analytics teams across modeling, integration, MDM, metadata ... Bankwide incentive compensation program * 401K retirement plan with competitive company match

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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:
Business Analysis Manager - Care Performance

Business Analysis Manager - Care Performance

T-Mobile

Overland Park, KS • On-site

$77K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


T-Mobile rating

7.3

Company rating: 7.3 out of 10

Based on 615 frontline employees who took The Breakroom Quiz

41st of 76 rated telecommunications companies


Job description

At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers. All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches. That's how we're UNSTOPPABLE for our employees!
Job Overview
This role serves as the primary analytics partner for the Internal Care channel compensation strategy team, supporting our Internal Care organization. The Business Analysis Manager is accountable for sourcing and structuring the data that underpins compensation and incentive strategy.
Scope and Impact - This role translates business requirements into data models that inform comp plan design, incentive recommendations, and target setting. They size known issue impacts, conduct financial modeling, and quantify risk before plans are submitted for approval. The role supports hierarchy alignment and compensation data integrity, ensuring accurate payouts and proactive resolution of issues that could impact earnings or reporting, and serves as a key partner to commissions, performance management and data enablement ensuring plan alignment and accuracy.
Job Responsibilities:
  • Provide insights and recommendations that optimize business experiences through cross-functional collaboration and data analysis
  • Develop and maintain data and reporting solutions including dashboards, reports, and self-service tools to support enterprise goals
  • Apply analytical and modeling techniques to support decision-making and resource prioritization across the organization
  • Participate in the design and administration of reporting structures and interfaces for standardized use across teams
  • Also responsible for other duties/projects as assigned by business management as needed

Education and Work Experience:
  • Bachelor's Degree plus 5 years of related work experience OR Advanced degree with 3 years of related experience (Required)
  • Acceptable areas of study include Data analysis, data science, similar quantitative fields or equivalent practical experience (Required)
  • 4-7 years Working experience solving analytical problems using quantitative approaches (Required)
  • 4-7 years Working experience reporting and analyzing performance & dta visualization (Tableau, Power BI, etc.) (Required)
  • 4-7 years Working experience in advanced analytics, which includes SQL analysis of complex datasets, competitive analysis, quantitative analysis & research (Required)
  • Working experience with Python, R, Go or similar statistics or data science language preferred. (Preferred)
  • Telecommunications (Preferred)

Knowledge, Skills and Abilities:
  • Business Acumen (Required)
  • Dashboard Development (Required)
  • Data Analysis (Required)
  • Data Storytelling (Required)
  • Executive Presence (Required)
  • Financial Modeling (Required)
  • People Management (Required)
  • Project Management (Required)
  • Stakeholder Management (Required)
  • Strategic Thinking (Required)

Licenses and Certifications:
  • Other Business Certification (Preferred)

  • At least 18 years of age
  • Legally authorized to work in the United States

Travel:
Travel Required (Yes/No): No
DOT Regulated:
DOT Regulated Position (Yes/No): No
Safety Sensitive Position (Yes/No): No
Base Pay Range: $77,900 - $140,500
Corporate Bonus Target: 15%
The pay range above is the general base pay range for a successful candidate in the role. The successful candidate's actual pay will be based on various factors, such as work location, qualifications, and experience, so the actual starting pay will vary within this range.
At T-Mobile, employees in regular, non-temporary roles are eligible for an annual bonus or periodic sales incentive or bonus, based on their role. Most Corporate employees are eligible for a year-end bonus based on company and/or individual performance and which is set at a percentage of the employee's eligible earnings in the prior year. Certain positions in Customer Care are eligible for monthly bonuses based on individual and/or team performance. To find the pay range for this role based on hiring location, https://paylookup.t-mobile.com/paylookup?reqID=REQ357296¶dox=1
At T-Mobile, our benefits exemplify the spirit of One Team, Together! A big part of how we care for one another is working to ensure our benefits evolve to meet the needs of our team members. Full and part-time employees have access to the same benefits when eligible. We cover all of the bases, offering medical, dental and vision insurance, a flexible spending account, 401(k), employee stock grants, employee stock purchase plan, paid time off and up to 12 paid holidays - which total about 4 weeks for new full-time employees and about 2.5 weeks for new part-time employees annually - paid parental and family leave, family building benefits, back-up care, enhanced family support, childcare subsidy, tuition assistance, college coaching, short- and long-term disability, voluntary AD&D coverage, voluntary accident coverage, voluntary life insurance, voluntary disability insurance, and voluntary long-term care insurance. We don't stop there - eligible employees can also receive mobile service & home internet discounts, pet insurance, and access to commuter and transit programs! To learn about T-Mobile's amazing benefits, check out www.t-mobilebenefits.com.
Never stop growing!
As part of the T-Mobile team, you know the Un-carrier doesn't have a corporate ladder-it's more like a jungle gym of possibilities! We love helping our employees grow in their careers, because it's that shared drive to aim high that drives our business and our culture forward. By applying for this career opportunity, you're living our values while investing in your career growth-and we applaud it. You're unstoppable!
T-Mobile USA, Inc. is an Equal Opportunity Employer. All decisions concerning the employment relationship will be made without regard to age, race, ethnicity, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, religious affiliation, marital status, citizenship status, veteran status, the presence of any physical or mental disability, or any other status or characteristic protected by federal, state, or local law. Discrimination, retaliation or harassment based upon any of these factors is wholly inconsistent with how we do business and will not be tolerated.
Talent comes in all forms at the Un-carrier. If you are an individual with a disability and need reasonable accommodation at any point in the application or interview process, please let us know by emailing ApplicantAccommodation@t-mobile.com or calling 1-844-873-9500. Please note, this contact channel is not a means to apply for or inquire about a position and we are unable to respond to non-accommodation related requests.

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