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Compensation Data Analytics Jobs in Rhinelander, WI

Oshkosh Corporation

Reliability Engineer

Harrison, WI · On-site

$64K - $103K/yr

This role focuses on applying data analysis to support Reliability and Maintainability (R&M ... However, employees who have access to the compensation information of other employees or applicants ...

Busey

Lockbox Remittance Specialist

Tomahawk, WI

$19 - $21/hr

Analyze information to determine accuracy and completeness of work. * Conduct non-routine research ... Compensation Salary offered is based on factors, including but not limited to, the job duties ...

FirsTech

Lockbox Remittance Specialist

Tomahawk, WI · On-site

$19 - $21/hr

Analyze information to determine accuracy and completeness of work. * Conduct non-routine research ... Compensation Salary offered is based on factors, including but not limited to, the job duties ...

GEA

Market Manager - Liquid Processing

Wilson, WI · On-site

$150K - $180K/yr

The pay range is not guaranteed compensation or salary. The estimated range is the budgeted amount ... Lead data-driven portfolio analysis and market prioritization to maximize profitable growth ...

Moments Hospice

Hospice Liaison

Rhinelander, WI · On-site

$70K - $85K/yr

That's why our winning compensation package includes a fleet car benefit option with gas and ... If you would like more information about how your data is processed, please contact us.

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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.

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 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 cities near Rhinelander, WI are hiring for Compensation Data Analytics jobs?

Cities near Rhinelander, WI with the most Compensation Data Analytics job openings:

Compensation Data Analytics jobs near you
Infographic showing various Compensation Data Analytics job openings in Rhinelander, WI as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Reliability Engineer

Oshkosh Corporation

Harrison, WI • On-site

$64K - $103K/yr

Full-time

Posted 21 days ago

Oshkosh Corporation rating

7.4

Company rating: 7.4 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

289th of 495 rated machine equipment manufacturers

Job description

About Oshkosh Defense, an Oshkosh company
Oshkosh Defense stands behind those who dedicate their lives to protecting others. As an industry-leading tactical vehicle manufacturer, every day we strive to meet or exceed our customers' ever-changing needs with next generation defense technologies and advanced systems. We operate with unparalleled commitment to those who depend on our products and services worldwide to perform their missions.
This role focuses on applying data analysis to support Reliability and Maintainability (R&M) requirements on government programs. The position emphasizes interpreting failure data, identifying trends, and enabling data-driven maintenance and logistics decisions while collaborating with cross-functional teams.
YOUR IMPACT
  • Apply analytical methods such as Failure Modes Effects and Criticality Analysis (FMECA), Reliability Centered Maintenance (RCM), and Level of Repair Analysis (LORA).
  • Support lifecycle support planning through data modeling and insights.
  • Develop and maintain datasets, dashboards, and analytical tools to support decision-making.
  • Collaborate with engineering and maintenance development teams to translate data insights into actionable plans.
  • Recommend and support Condition Based Maintenance (CBM) strategies using data analysis.
  • Prepare and present analytical reports and visualizations for leadership and customers.
  • Continuously evaluate and implement new data tools, technologies, and methodologies.

MINIMUM QUALIFICATIONS
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field.
  • Experience working with data analysis, modeling, or statistical methods.
  • Strong analytical and problem-solving skills.
  • Proficiency in Microsoft Office (especially Excel).
  • Strong written and verbal communication skills.

STANDOUT QUALIFICATIONS
  • Experience in reliability and maintainability analysis.
  • Background in predictive analytics or machine learning.
  • Experience working with large datasets and data visualization tools (Power BI, Tableau, etc.).
  • Experience in data management technology (SQL) or data engineering.
  • Familiarity with vehicle systems or heavy equipment data.
  • Experience with tools such as Windchill Risk and Reliability or similar reliability software.
  • Programming experience for automation and data processing (Python, VBA, etc.).

#LI-AG1
Pay Range:
$64,500.00 - $103,500.00
The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success.
Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at corporatetalentacquisition@oshkoshcorp.com.
Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application.
Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information.
Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

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