Average Human Resources Data Analytics Manager Salary in United States for 2026

How much does a human resources data analytics manager make in United States?

A typical human resources data analytics manager working in United States brings home around 7,358 USD a month before tax. Entry-level pay starts near 40,300 USD, and the top of the ladder reaches roughly 142,100 USD for the most experienced and specialised people in the role.

The wide gap between low end and top end reflects how much pay can vary inside the same job title. A junior human resources data analytics manager working at a small local employer earns very different money from a senior at a multinational. Skills, employer, city and years in the seat all push the number around. For a cross-country comparison, see the human resources data analytics manager salary in Palau or British Indian Ocean Territory, both of which pay in the same currency.

How human resources data analytics manager pay ranges in United States

A good way to think about salary in United States is to look at the distribution rather than the headline average. Half of all human resources data analytics managers in United States earn less than 96,000 USD a year, and the other half earn more. That middle number is the median, and it is usually more useful than the average for answering "is my pay normal here".

Looking at the quartiles fills in the picture. A quarter of earners take home less than 63,200 USD (the 25th percentile), and a quarter clear 123,800 USD (the 75th percentile). The middle 50% of human resources data analytics managers sit somewhere inside that band, which is where the typical reader of this page probably lives.

The very lowest reported salaries sit around 40,300 USD. The highest stretch to 142,100 USD, though only a small fraction of earners ever reach that level. If you are deciding whether your own offer or current pay is reasonable, work out which of those four bands you would fall into and use that as your reference point.

Human resources data analytics manager pay by experience in United States

Years of experience is the single biggest lever on pay for a human resources data analytics manager in United States, ahead of education and almost any other single factor. The longer you have been in the role, the more your employer can trust you to handle complexity, mentor others and act independently, all of which command higher pay. The chart below shows how the typical human resources data analytics manager salary changes as you move through the career ladder.

The single largest jump on the ladder is from 2 - 5 Years to 5 - 10 Years, where pay rises by about 41%. That is the point at which a human resources data analytics manager typically goes from "competent in the role" to "the person other people in the team learn from", and the market pays well for that step.

Human resources data analytics manager pay by education in United States

Education sits alongside experience as one of the biggest factors driving human resources data analytics manager pay in United States. Higher qualifications consistently pull higher salaries, but the size of the gap tends to be smallest at junior levels and widens as people move up. Two people in the same role with the same years of experience but different degrees can end up earning very different money once they reach mid-career.

Below is the average human resources data analytics manager salary in United States broken down by the highest level of education a worker has completed.

Human resources data analytics manager gender pay gap in United States

The gender pay gap is a stubborn feature of almost every labour market, and United States is no exception. Male human resources data analytics managers in United States earn an average of 92,100 USD a year, while female human resources data analytics managers earn around 88,600 USD. That works out to a 4% gap in favour of men, even when comparing people doing the same work.

A pay gap of this size has a real long-term cost. Over a typical thirty-year career it can add up to several years of pay, and it compounds through pensions, retirement contributions and bonus-linked stock. Some of the gap is explained by women being more likely to work part-time, take career breaks, or be steered toward lower-paying specialisations. Some of it is straightforward unequal pay for the same job, which is harder to defend.

Pay raises for a human resources data analytics manager in United States

Most countries hand out at least some kind of pay raise every year, typically when an employee's contract is reviewed or as a cost-of-living adjustment to keep wages roughly in step with inflation. The rhythm and size of those raises varies hugely between industries.

A typical worker doing this role in United States sees a raise of about 11% every 17 months, which works out to roughly 8% on an annual basis. That figure is the typical underlying rate; in years where inflation runs high you can usually expect a bit more, and in flat-economy years a bit less.

Across all jobs in United States, the national average raise is around 8% every 16 months.

By industry

Industries with the highest pay raises in United States:

By experience level

Experienced workers tend to see larger raises. Retaining a senior is cheaper than replacing them, so employers fight harder for them.

Human resources data analytics manager bonus rates in United States

Bonuses are the other half of total compensation, and they vary a lot between jobs and industries. Some roles are paid almost entirely in base salary; others lean heavily on bonus structures tied to revenue, project completion or company performance. Whether a job pays a bonus, how big it is, and how often it lands all factor into whether the headline salary is actually a good offer.

Which careers pay bonuses in United States

Revenue-facing roles tend to pay the biggest bonuses. Operational and support roles tend toward smaller, more predictable ones.

Human resources data analytics manager: public vs private sector pay

Public-sector pay in United States is about 6% more than private-sector pay for similar work. The private sector typically offers stronger upside and bigger bonuses; the public sector typically offers better benefits and stability.

Human resources data analytics manager salary by city and region in United States

Human resources data analytics manager pay is not even across United States. The chart below shows the highest-paying cities and regions in the dataset, followed by the full location table.

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Human Resources Data Analytics Manager in United States: FAQs