Professor Hr Analytics information
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$42.5K - $50.9K
6% of jobs
$50.9K - $59.3K
18% of jobs
$59.6K is the 25th percentile. Wages below this are outliers.
$59.3K - $67.7K
16% of jobs
The median wage is $71.9K / yr.
$67.7K - $76.1K
19% of jobs
$76.1K - $84.5K
14% of jobs
$86.1K is the 75th percentile. Wages above this are outliers.
$84.5K - $93K
9% of jobs
$101.4K - $109.8K
4% of jobs
$109.8K - $118.2K
2% of jobs
$118.2K - $126.6K
2% of jobs
$126.6K - $135K
2% of jobs
How much do professor hr analytics jobs pay per year?
As of Sep 11, 2026, the average yearly pay for professor hr analytics in the United States is $80,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $91,500.00 per year, depending on experience, location, and employer.
A Professor of HR Analytics is an academic expert who specializes in teaching and researching how data analysis and statistical methods can be applied to human resources management. They focus on using data-driven approaches to improve HR practices such as recruitment, retention, workforce planning, and employee performance. These professors typically have backgrounds in HR, data science, or business analytics and contribute to developing curriculum, publishing research, and advising organizations on best HR analytics practices.
Professors of HR Analytics often work closely with both industry professionals and fellow academics to provide students with real-world insights and applied learning opportunities. This collaboration may include guest lectures from HR practitioners, joint research projects, or facilitating internships and case studies based on actual organizational data. Such partnerships help students stay current with industry trends, develop practical skills, and build valuable professional networks. Additionally, these collaborations can lead to research publications and further career advancement for the professor.
To thrive as a Professor of HR Analytics, you need advanced expertise in human resource management, data analytics, and a relevant doctoral degree or equivalent academic experience. Familiarity with HR information systems (HRIS), data visualization tools (like Tableau or Power BI), and statistical software (such as R or SPSS) is typically required. Strong communication, critical thinking, and mentoring abilities help you effectively teach, guide research, and collaborate with both students and colleagues. These skills and qualifications enable impactful teaching, meaningful research, and the ability to bridge HR practices with data-driven insights.
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