Diversity Data Analyst information
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$43.3K - $52.5K
7% of jobs
$52.5K - $61.8K
13% of jobs
$62.4K is the 25th percentile. Wages below this are outliers.
$61.8K - $71.1K
18% of jobs
The median wage is $75.4K / yr.
$71.1K - $80.4K
16% of jobs
$80.4K - $89.6K
13% of jobs
$93.1K is the 75th percentile. Wages above this are outliers.
$89.6K - $98.9K
9% of jobs
$98.9K - $108.2K
5% of jobs
$108.2K - $117.5K
9% of jobs
$117.5K - $126.7K
3% of jobs
$126.7K - $136K
2% of jobs
How much do diversity data analyst jobs pay per year?
As of Sep 5, 2026, the average yearly pay for diversity data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.
A Diversity Data Analyst is a professional who collects, analyzes, and interprets data related to diversity, equity, and inclusion (DEI) within an organization. They use statistical methods to track representation, identify disparities, and measure the effectiveness of DEI initiatives. Their insights help organizations develop strategies to foster a more inclusive and equitable workplace. Diversity Data Analysts often collaborate with HR and leadership to inform policy decisions and monitor progress over time.
To thrive as a Diversity Data Analyst, you need strong analytical skills, proficiency in data visualization, and a background in statistics or social sciences, often supported by a relevant degree. Familiarity with tools such as Excel, Tableau, SQL, and statistical software like R or Python, as well as experience with HRIS or DEI analytics platforms, is typically required. Excellent communication, cultural sensitivity, and critical thinking help you interpret and present findings to diverse stakeholders. These skills are crucial for driving informed diversity, equity, and inclusion strategies that support organizational goals.
A Diversity Data Analyst works closely with HR and leadership by providing actionable insights from diversity metrics and workforce data. They often participate in regular meetings to present findings, identify trends, and recommend strategies for improving representation and inclusion. Analysts may also assist in setting benchmarks, tracking progress toward goals, and supporting the development of targeted programs. This collaborative approach ensures that data-driven decisions are effectively integrated into organizational diversity and inclusion efforts.
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