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Compensation Data Analytics Jobs in Springfield, MO

Conduct research and collect data on legislative, policy, or operational issues to support policy ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

This role focuses on systems support, workforce management, data reporting, sales team enablement ... absence, compensation, benefits, training, and apprenticeship. Russell Cellular makes hiring ...

Analyze data to determine actual return to vendors and follow-up to insure return is issued ... Total Compensation Package: * Competitive Wages & Paid Time Off * Stock Purchase Plan & 401k with ...

This includes data entry, editing and releasing orders via internal and external means and ... Total Compensation Package: * Competitive Wages & Paid Time Off * Stock Purchase Plan & 401k with ...

... compensation, and other high-risk claims, including investigation, evaluation, litigation ... Through data analysis, education, and multidisciplinary collaboration, this role promotes fiscal ...

... compensation, and other high-risk claims, including investigation, evaluation, litigation ... Through data analysis, education, and multidisciplinary collaboration, this role promotes fiscal ...

... compensation, and other high-risk claims, including investigation, evaluation, litigation ... Through data analysis, education, and multidisciplinary collaboration, this role promotes fiscal ...

... data reconciliation and change tracking activities. - Provide status updates and documentation ... Pay Transparency Maximus compensation is based on various factors including but not limited to job ...

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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?

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:
Policy Development Analyst II

Policy Development Analyst II

Maximus

Springfield, MO • On-site

Full-time

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Maximus rating

6.9

Company rating: 6.9 out of 10

Based on 293 frontline employees who took The Breakroom Quiz

253rd of 449 rated business services


Job description

Description & Requirements

If you’re driven by the opportunity to make a meaningful impact through smarter policy and more effective operations, this role is for you. We’re seeking a Policy Development Analyst II to help shape and improve the policies, processes, and operational frameworks that support critical programs and client outcomes. In this role, you’ll analyze policy impacts, identify opportunities for improvement, and develop solutions that enhance efficiency, ensure compliance, and strengthen program performance. Working alongside cross-functional teams and stakeholders, you’ll play a key role in translating complex requirements into clear, actionable guidance helping ensure that programs not only meet expectations but deliver real, measurable value.

Please note that this position is contingent upon bid award

Essential Duties and Responsibilities:

  • Analyze trends, conduct time studies and create solutions to ensure processes are aligned to comply with client policy, and to meet or exceed contractual and internal performance standards and expectations.
  • Document issues and performance measures, provide recommendations, create and implement strategies to ensure that productivity goals are met while containing costs.
  • Create and/or maintain deliverable artifacts.
  • Create sophisticated and comprehensive reports used to educate and assist site management and program client.
  • Develop processes to build operational policies, procedures and/or user guides.
  • Develop processes to conduct business process improvement projects.
  • Analyze existing forms, reports and methods to promote effective operations through standardization, improvement, simplification, discontinuance or other methods.

Additional Duties and Responsibilities:

  • Conduct research and collect data on legislative, policy, or operational issues to support policy and process development.
  • Analyze findings and develop written deliverables such as memos, briefs, and reports outlining policy and operational impacts.
  • Assist in the development of organizational responses or recommendations related to existing or proposed policy changes.
  • Recommend strategies to mitigate risks or leverage opportunities related to policy or regulatory changes.

Minimum Requirements

  • Bachelor's degree with 3+ years of experience.

Additional Skills and Qualifications:

  • Demonstrated experience researching and analyzing policies, regulations, or operational processes.
  • Experience developing written deliverables such as reports, briefs, or analytical summaries.
  • Ability to work under general supervision while managing moderately complex tasks and issues.
  • Solid working knowledge of policy analysis, process improvement, or operational analysis concepts.
  • Strong research, analytical, and conceptual thinking skills.
  • Demonstrated ability to build collaborative relationships and influence stakeholders.

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 $ 44,800.00

Maximum Salary $ 93,670.00


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