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Compensation Data Analytics Jobs in Wisconsin (NOW HIRING)

Compensation Partner

Milwaukee, WI · On-site

$90K - $115K/yr

The ideal candidate combines strong analytical capabilities with business acumen to help drive data-informed compensation decisions and continuous improvement of compensation programs. Key Job ...

As a Compensation Specialist, you'll analyze market data and partner with leaders to guide pay decisions across our North American operations, driving business growth and competitive talent ...

As a Compensation Specialist, you'll analyze market data and partner with leaders to guide pay decisions across our North American operations, driving business growth and competitive talent ...

As a Compensation Specialist, you'll analyze market data and partner with leaders to guide pay decisions across our North American operations, driving business growth and competitive talent ...

As a Compensation Specialist, you'll analyze market data and partner with leaders to guide pay decisions across our North American operations, driving business growth and competitive talent ...

Compensation Consulting & Advisory * Serve as a primary advisor to HR Business Partners and ... Support pay equity analysis, audits, and regulatory reporting. Job Architecture & Data Integrity

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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.

Is data analytics a high paying job?

Data analytics roles, including Compensation Data Analytics, are generally considered well-paying careers, especially for those with strong skills in statistical analysis, data visualization, and tools like Excel or SQL. Salaries tend to increase with experience, certifications, and advanced skills such as machine learning or programming languages like Python. Overall, data analytics is regarded as a lucrative field within the broader data and technology sectors.

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 Wisconsin? For Compensation Data Analytics jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Compensation Data Analytics jobs? Cities in Wisconsin with the most Compensation Data Analytics job openings:

Compensation & Total Rewards Analyst

Sartori

Plymouth, WI

Full-time

Re-posted 7 days ago


Sartori Cheese rating

5.6

Company rating: 5.6 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

356th of 434 rated food and drinks producers


Job description

SUMMARY

The Compensation & Total Rewards Analyst plays a key role in strengthening Sartori’s compensation and Total Rewards programs. This role ensures our programs are competitive, equitable, and aligned with organizational goals by conducting market benchmarking, maintaining job structures, managing compensation cycles, and supporting data governance across HR systems. The analyst partners closely with HR Operations, Talent Acquisition, Total Rewards and Finance to deliver high-quality analysis, cost modeling, reporting, and process improvements.

In addition to core compensation responsibilities, this role contributes to broader Total Rewards analytics, programs and system optimization the team member experience through insights, education, and process improvements.

This is a detail-oriented, analytical position that strengthens Sartori’s ability to attract, retain, and reward top talent in a multi-site, growth-focused environment.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following. Other duties may be assigned.

Market Data & Job Architecture

  • Conducts comprehensive market benchmarking and analyzes data to inform job pricing and pay recommendations.
  • Leads participation in compensation surveys, including determining survey strategy, managing submissions, and analyzing outcomes to inform market adjustments.
  • Develops and maintains a reliable market data library to support job pricing decisions and compensation program analysis.
  • Builds and maintains Sartori’s job architecture, including salary ranges, job levels and incentive programs.
  • Supports the development and maintenance of accurate, consistent job descriptions in partnership with HR Operations.

Compensation Program Management

  • Leads the annual compensation cycle, including merit increases, equity adjustments, incentive programs, and total compensation statements.
  • Provides compensation consultation to Talent Acquisition, including offer letter recommendations, internal equity reviews, and retention considerations.
  • Conducts internal equity analysis and recommends actions to maintain fairness, competitiveness and compliance.
  • Partners with Finance to support cost modeling and scenario planning for compensation programs.

Compliance, Governance & Data Integrity

  • Ensures compensation programs comply with applicable federal, state, and local regulations and internal policies, including FLSA, pay transparency and equity and other requirements.
  • Maintains strong data governance practices, including auditing, documentation and data lifecycle management.
  • Oversees compensation data integrity within Sartori’s HRIS, ensuring accuracy of job codes, titles and pay ranges.
  • Identifies and implements system and process efficiencies that strengthen accuracy and automation, including optimizing compensation tools, workflows, and data processes.

Reporting, Analytics & Insights

  • Develops reports, dashboards and analyses to communicate trends, market gaps, workforce insights, along with other key metrics.
  • Translates complex data into clear, actionable insights and leadership-ready summaries.

Total Rewards Integration

  • Develops training and communication materials that improves team member and leader understanding of Sartori’s compensation and Total Rewards programs and practices.
  • Partners with other Total Rewards Team Members to analyze and support broader programs – identifying trends, opportunities, and recommendations that drive improved program outcomes and enhance team member experience.
  • Provides analytics and reporting related to benefits, wellness programs, and workforce insights.

DIRECT REPORTS

This positions does not have direct reports.

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

EDUCATION AND EXPERIENCE

  • Bachelor’s degree in Human Resources, Business, Statistics, Mathematics or related field, required.
  • 3-5 years of progressively responsible, dedicated compensation experience required, including hands-on responsibility for market pricing, compensation analysis and administration.
  • Experience supporting compensation programs in a multi-site manufacturing or operations- based environment, preferred.
  • Demonstrated experience using compensation survey tools and compensation management software, strongly desirable.
  • HR Certifications (CCP, PHR/SPHR, SHRM-CP/SCP), preferred.

OTHER KNOWLEDGE, SKILLS, AND ABILITIES

  • Analytical thinking and data interpretation – able to translate data into clear insights and recommendations.
  • Attention to Detail – ensures accuracy and demonstrates a high level of precision.
  • Strong communication skills – effectively presents complex information in a clear and concise manner.
  • Collaboration – invests in relationships with cross-functional stakeholders to support compensation decisions and total rewards initiatives.
  • Continuous Improvement Mindset – looks for opportunities to streamline process, enhance systems, and improve the effectiveness of compensation tools and workflows.
  • Systems and technical proficiency – working within HRIS systems, Microsoft Excel, market data tools and compensation management systems.
  • Critical thinking and problem solving – evaluates issues, assesses root cause and develops thoughtful solutions that balance business needs, fairness and compliance requirements.
  • Adaptability and learning agility – comfortable with change and able to quickly learn and apply new tools, processes and methodologies.
  • Financial acumen – ability to understand cost modeling and forecasting.

ADDITIONAL INFORMATION


WORK LOCATION

Hybrid (minimum of 1-2 days in office), 3-4 days remote.

TRAVEL REQUIREMENTS

No travel required.

PHYSICAL DEMANDS

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is regularly required to sit; use hands to finger, handle, or feel; and talk or hear. The employee is occasionally required to stand; walk; reach with hands and arms; and stoop, kneel, crouch, or crawl. The employee must occasionally lift and/or move up to 25 pounds. Specific vision abilities required by this job include close vision, and ability to adjust focus.

WORK SETTING/ENVIRONMENT

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

The individual is not substantially exposed to adverse environmental conditions.

Plant12


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