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Compensation Data Analytics Jobs in Springfield, MO

Walmart

Manager II, Quality Engineer - Supply Chain

Nixa, MO · On-site

$104K - $156K/yr

Are skilled in data analysis, KPI management, and translating insights into actionable improvements ... Additional compensation for certain positions may also include : - Regional Pay Zone (RPZ) (based ...

Spire Inc.

Analyst I, GIS

Brookline, MO

Support data integrity by completing basic editing. Support miscellaneous mapping and data ... education, compensation, benefits, promotion, job transfer, upgrading, separation and recall ...

Spire, Inc.

Analyst I, GIS

Brookline, MO · On-site

Support data integrity by completing basic editing. Support miscellaneous mapping and data ... education, compensation, benefits, promotion, job transfer, upgrading, separation and recall ...

Mobile Gas Service

Analyst I, GIS

Brookline, MO · On-site

Support data integrity by completing basic editing. Support miscellaneous mapping and data ... education, compensation, benefits, promotion, job transfer, upgrading, separation and recall ...

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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:
Compensation Data Analytics jobs near you
Senior Product Analyst

Senior Product Analyst

O'Reilly Auto Parts

Springfield, MO • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 10 days ago

O'Reilly Auto Parts rating

5.3

Company rating: 5.3 out of 10

Based on 1,861 frontline employees who took The Breakroom Quiz

547th of 727 rated retailers

Job description

A Senior Product Analyst will own SEO strategy for OReillyAuto.com, including GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization). This role will spend part of the year enhancing and optimizing the existing site, while also helping define and shape how organic discovery is built into our next-generation platform.
While this role sits within our Product Analyst career path, the scope is closer to a product manager for organic acquisition, with ownership spanning research, roadmap creation, and delivery in partnership with Agile teams.
Responsibilities
  • Own SEO, GEO, and AEO strategy for OReillyAuto.com
  • Balance hands-on analysis and research with strategic roadmap ownership
  • Coordinate closely with business stakeholders to create and manage quarterly roadmaps aligned to strategic goals
  • Partner closely with product managers, designers, and Agile engineering teams to deliver roadmap initiatives
  • Define problem statements, success metrics, and acceptance criteria for organic search work
  • Stay current on SEO best practices, algorithm changes, and AI-driven search trends; proactively test and share learnings
  • Measure performance using analytics and search tooling; evaluate impact post-launch and iterate

Skills & Capabilities
  • Strong understanding of modern SEO best practices, including technical SEO, on-page optimization, structured data, internal linking, and content discoverability
  • Comfort with performance and quality considerations such as page speed, Core Web Vitals, crawlability, indexing, and HTML structure
  • Familiarity with metadata, URLs, page architecture, and schema concepts
  • Experience working with analytics and search tools (e.g., GA4, Search Console, SEO platforms)
  • Ability to operate independently, prioritize effectively, and drive work forward in an Agile environment
  • Strong communication skills, with the ability to clearly explain why an initiative matters and how success is measured

Education & Experience
  • Bachelor's degree or equivalent practical experience
  • 3-6 years of experience in SEO, organic growth, digital analytics, or product analytics
  • Experience supporting large-scale, consumer-facing websites or ecommerce platforms preferred
  • Demonstrated experience owning initiatives end-to-end, from insight through delivery and measurement

O'Reilly Auto Parts has a proven track record of growth and stability. O'Reilly is full of successful career stories and believes in a strong promote-from-within philosophy, encouraging you to grow your career along with the organization.
Total Compensation Package:
  • Competitive Wages & Paid Time Off
  • Stock Purchase Plan & 401k with Employer Contributions Starting Day One
  • Medical, Dental, & Vision Insurance with Optional Flexible Spending Account (FSA)
  • Team Member Health/Wellbeing Programs
  • Tuition Educational Assistance Programs
  • Opportunities for Career Growth

O'Reilly Auto Parts is an equal opportunity employer. The Company does not discriminate on the basis of race, religion, color, national origin or ancestry (including immigration status or citizenship), sex, sexual orientation, gender identity, pregnancy (including childbirth, lactation, and related medical conditions,) age (40 and over), veteran status, uniformed service member status, physical or mental disability, genetic information (including testing or characteristics) or another protected status as defined by local, state, or federal law, as applicable.
Qualified individuals with a disability may be entitled to reasonable accommodation under the Americans with Disabilities Act. If you require a reasonable accommodation during the application or employment process, please send an email to: rar@oreillyauto.com or call (800) 471-7431 option , and provide your requested accommodation, and position details.

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