1

Compensation Data Analytics Jobs in Springfield, MO

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

Senior Incentive Analyst

Springfield, MO · On-site

$91K - $121K/yr

... compensation programs or equivalent education and experience. Also want to make sure you have: * Strong data analytics, HR software, Excel and Power BI capabilities. * Highly collaborative with ...

Market Analysis & Benchmarking * Conduct job evaluations and pricing using market data (e.g., salary surveys, benchmarking tools such as PayFactors). * Analyze compensation trends and provide ...

Current junior, senior, or recent graduate in Computer Science, Data Analytics, Statistics ... Actual compensation will depend on a range of factors, including but not limited to the individual ...

... analytics, including labor hours, cost monitoring, financial forecasting or internal program ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

next page

Showing results 1-20

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 Springfield, MO? For Compensation Data Analytics jobs in Springfield, MO, the most frequently searched job titles are:
What job categories do people searching Compensation Data Analytics jobs in Springfield, MO look for? The top searched job categories for Compensation Data Analytics jobs in Springfield, MO are:
Data Coordination Analyst

Data Coordination Analyst

Maximus

Springfield, MO • On-site

Full-time

Medical, Life, Retirement, PTO

Posted 6 days ago


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 292 frontline employees who took The Breakroom Quiz

249th of 441 rated business services


Job description

Description & Requirements

Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex business data into actionable insights that drive decision-making, operational efficiency, and continuous improvement. Working closely with leadership and cross-functional teams, you will analyze data from multiple sources, develop dashboards and reports, identify trends and anomalies, and support the design of innovative reporting and business intelligence solutions.

The ideal candidate combines strong analytical and technical skills with a passion for problem-solving and data storytelling. You will leverage statistical analysis, data visualization, and reporting tools to uncover business trends, perform root cause analysis, and recommend process improvements. This opportunity is well suited for a detail-oriented professional with 3+ years of related experience who enjoys working with data, collaborating with stakeholders, and delivering insights that support mission-critical federal programs.

Essential Duties and Responsibilities:

  • Build and maintain dashboards, metrics, or reports and identify trends or anomalies.
  • Support new reporting functionality as well as the development and improvement of new reporting.
  • Design new data collection models to better collect information.
  • Consult with leadership to identify data sources, required data elements, or data validation standards.
  • Analyze data sets using statistical techniques. Communicate trends and patterns that enhance the opportunities to the business.
  • Generate reports with market trends past and present.
  • Understand business data needs and design business intelligence solutions to facilitate data gathering, storage, and retrieval.

Additional Duties and Responsibilities:

  • Aggregates and performs statistical analysis on business data based on requests from project teams or senior leadership.
  • Integrates data from multiple data sources or functional areas, ensures data accuracy and integrity, and updates data as needed.
  • Writes queries or reports to provide data for various analytical projects.
  • Interprets data to identify business trends, conduct root cause analysis of business problems, or suggest areas for process improvement.

Minimum Requirements

  • Bachelor's degree in related field.
  • 3+ years of related experience.
  • Analytical thinking skills.
  • Statistical knowledge and technical expertise.
  • Ability to meet deadlines.
  • Mathematical skills.
  • Project management skills.

EEO Statement

Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics.

Pay Transparency

Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances.

Accommodations

Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at applicantaccom@maximus.com.

Minimum Salary

$

56,000.00

Maximum Salary

$

80,370.00


What Maximus employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom