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Compensation Data Analytics Jobs in Michigan (NOW HIRING)

... Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the ...

... Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the ...

Sr. Data Analyst

Superior Township, MI · On-site

$47.58 - $50.34/hr

Analytics & Insight Generation: Analyze user interaction data from in-car infotainment systems (eg ... compensation and benefits including, medical, dental, 401k, short-term disability, AD&D, tuition ...

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

Senior Data Science and Analytics Analyst

Publicis Groupe Holdings B.V

Birmingham, MI • On-site

$72K - $95K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 19 days ago


Job description

Company Description
Hi there! We're Razorfish. We've been leading the marketing industry with our digital expertise since the start of the internet. But in 2020, we did a full reboot. What's different? It all starts with people. Weird, wonderful, complex people - with diverse backgrounds in strategy, creative and technology. But no matter how different we are, we all have one thing in common. We believe our differences are our strength. So we push for inclusion, challenge convention and bring in new perspectives, to inspire new ideas. Because when we connect by understanding what makes people different, we can create unforgettable experiences that enrich lives. Join us at razorfish.com.
Responsibilities
  • Lead the development, validation, and deployment of predictive and statistical models to solve key business problems
  • Analyze structured and unstructured data using Python, SQL, and relevant ML/AI frameworks
  • Design and execute experiments (e.g., A/B tests), interpret results, and recommend data-driven decisions
  • Collaborate with product, marketing, and engineering teams to define analytics goals and influence strategy
  • Build dashboards or self-service tools to scale insights across the business
  • Document analytical approaches and present findings to both technical and non-technical audiences
  • Mentor junior analysts and data scientists, contributing to best practices and code reviews

Qualifications
  • 3-5 years of experience in data science, advanced analytics, or related roles
  • Advanced Python skills for data analysis, modeling, and ML (pandas, scikit-learn, XGBoost, etc.)
  • Expert-level SQL for complex data querying and transformation
  • Proven experience applying statistical modeling and machine learning techniques in production
  • Experience in working with cloud platforms, such as GCP, Azure, AWS, etc.
  • Experience with analytic tools, such as Adobe Analytics, Google Analytics, etc.
  • Strong communication and storytelling skills with data

Additional Information
The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include:
  • Paid Family Care for parents and caregivers for 12 weeks or more
  • Monetary assistance and support for Adoption, Surrogacy and Fertility
  • Monetary assistance and support for pet adoption
  • Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance
  • Tuition Assistance
  • Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more
  • Matching Gifts programs
  • Flexible working arrangements
  • 'Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility)
  • Business Resource Groups that support multiple affinities and alliances

The benefits offerings listed are available to eligible U.S. Based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents.
Razorfish is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Compensation Range: $72,390 - $92,200 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 11/12/2025.
Compensation Range: USD $72,390.00 - USD $95,200.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 12/1/2025.