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Compensation Data Analytics Jobs in Michigan (NOW HIRING)

Delta Staffing

Compensation Analyst

Troy, MI · On-site

Collect and analyze pay data to produce detailed compensation reports. * Ensure compliance with Federal, State, and local regulations to prevent legal issues and assist others in doing the same.

ArcelorMittal

Data Analytics Co-Op

Detroit, MI · On-site

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and ... Alongside attractive compensation, we offer a comprehensive benefits and wellness package that ...

ArcelorMittal

Data Analytics Co-Op

Detroit, MI · On-site

Data Analytics Co-Op Location: Detroit, MI Who Are We? Are you ready to be part of a dynamic and ... Alongside attractive compensation, we offer a comprehensive benefits and wellness package that ...

SPX

... data. * Evaluate individual jobs and job families by analyzing external competitiveness and ... Conduct compensation audits and assist with preparation of analytics and reports What we are ...

Masco Corporation

Data Analyst, Procurement

Livonia, MI · On-site

$49K - $77K/yr

Bachelor's degree or equivalent experience in Data Analytics, Business, Finance, Supply Chain ... Masco Full time Hiring Range: $49,500.00 - $77,660.00 USD Actual compensation may vary based on ...

Pro Mach

Compensation Manager

Detroit, MI

Are you passionate about compensation strategy, data analysis, and helping organizations attract and retain top talent? We're seeking a Compensation Manager to join our HR/Compensation and Benefits ...

Pwc

Data Strategy-Manager

Detroit, MI · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... Actual compensation within the range will be dependent upon the individual's skills, experience ...

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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 Michigan? For Compensation Data Analytics jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Compensation Data Analytics jobs in Michigan look for? The top searched job categories for Compensation Data Analytics jobs in Michigan are:
What cities in Michigan are hiring for Compensation Data Analytics jobs? Cities in Michigan with the most Compensation Data Analytics job openings:
Compensation Data Analytics jobs near you

Compensation Analyst

Delta Staffing

Troy, MI • On-site

Other

Re-posted 24 days ago

Job description

Core Responsibilities

  • Assess job requirements by conducting interviews with experts, analyzing completed questionnaires, and observing job tasks.
  • Create and maintain comprehensive job descriptions, qualifications, and evaluation documents.
  • Benchmark compensation for new hires to ensure alignment with market standards and internal equity.
  • Evaluate and rank positions to ensure fair pay within the organization.
  • Perform salary surveys and analyze compensation data to maintain competitive external pay practices.
  • Assist in developing and maintaining pay structures, including calculating pay grades and salary ranges.
  • Collect and analyze pay data to produce detailed compensation reports.
  • Ensure compliance with Federal, State, and local regulations to prevent legal issues and assist others in doing the same.
  • Review and align recommended pay raises and incentives with the budget, and notify supervisors of any discrepancies.
  • Support and improve the performance evaluation process.
  • Advise on strategies for employee retention and severance packages.
  • Lead and support HR-related projects, managing the execution, communication, and delivery of key activities.
  • Track trends in labor costs and develop or revise the labor cost budget as needed annually.
  • Help develop strategies, policies, and documentation related to compensation programs to align with company values.
  • Actively participate in ongoing improvement efforts to optimize compensation processes.
  • Enhance knowledge of compensation practices through training and technical literature.
  • Perform other duties as required.

Required Qualifications and Skills

  • Bachelor’s degree in business is required, with a preference for Human Resources.
  • Minimum of three years in Human Resources, including at least two years focused on compensation.
  • Skilled in Microsoft Office [2007 or newer], with advanced expertise in MS Excel.
  • Proven ability to manage projects effectively and meet deadlines consistently.
  • Strong verbal, non-verbal, negotiation, and written communication abilities.
  • High level of professionalism in interactions with both internal and external stakeholders.
  • Excellent problem-solving, analytical, and organizational skills.
  • Familiarity with short and long-term strategic development is preferred.

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