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Coderhouse goes global

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Coderhouse goes global

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Data Analyst Jobs and Salaries in Raleigh (May 2025 BLS Data)

Dan Patiño

· AI Strategy & Innovation at Coderhouse

Two questions decide whether Raleigh is a sensible place to start a data career: how much the work pays, and how much of it there is. Locally the median is $120,710, entry-level pay sits nearer $72,190, and the metro holds roughly 1,990 of these roles. Everything below comes from the BLS OEWS May 2025 release.

Median salary

$120,710

Entry level (10th pct)

$72,190

Concentration (LQ)

1.59

How big is the data job market in Raleigh?

Market size first: about 1,990 roles locally, 0.7% of the 275,600 nationwide, ranking 22th of the 25 metros covered here. Growth projections for the occupation run at 35% nationally.

What do data analysts earn in Raleigh?

Pay in Raleigh centers on $120,710, in line with the national median. Move out from there and the middle half of the market sits between $85,220 and $145,500, while the best-paid tenth clears $180,850. Mean pay is $124,380.

What can you expect to earn starting out in Raleigh?

Starting pay is the number most sites skip. In Raleigh the bottom decile earns $72,190 and the bottom quarter $85,220, against a national 10th percentile of $67,240. Those two figures bracket what a realistic first offer looks like far better than the median does.

Is Raleigh actually a data hub?

The location quotient for data scientists in Raleigh is 1.59, meaning the occupation is noticeably more concentrated here than nationally. In practice, this is a genuine hub, not just a large city with a lot of jobs in it. This is the number most salary sites leave out, and it is often more decisive than pay: a metro can post a high median while employing very few people in the role, which means strong salaries and a thin job market.

What about AI engineering roles in Raleigh?

The BLS has no occupation code for AI engineer. The closest published proxy is Software Developers (15-1252), which in Raleigh employs about 12,580 people at a median of $132,770, 2% below the national median of $135,980. The 10th percentile is $80,080 and the 90th is $185,110. Read it as the surrounding band for applied AI work rather than as a figure for the role itself, since AI engineers are distributed across several codes.

10th percentile

$72,190

25th percentile

$85,220

Median

$120,710

Mean

$124,380

75th percentile

$145,500

90th percentile

$180,850

vs national median

in line with the national median

Software developers · median

$132,770

Frequently asked questions

How much do data analysts make in Raleigh?

The median for the closest BLS occupation, data scientists, is $120,710 a year in the Raleigh metro area as of May 2025. The range runs from $72,190 at the 10th percentile to $180,850 at the 90th.

How many data jobs are there in Raleigh?

About 1,990 positions under SOC 15-2051, which is 1.59 times the national concentration per worker. That ratio tells you whether the market is deep or just large.

Is Raleigh a good place to start a data career?

On the data: pay is in line with the national median and the occupation is noticeably more concentrated here than nationally. The entry reference point is $72,190. Weigh both together, since a high median in a thin market is harder to break into than a moderate median in a dense one.

What is the entry-level data analyst salary in Raleigh?

BLS does not publish by experience level. The 10th percentile, $72,190, is the best available proxy for early-career pay, against $67,240 nationally.

Do I need to live in Raleigh to work in data?

Not necessarily, and remote roles widen the market considerably. These figures measure where the job is located rather than where the worker lives, so a remote role at a Raleigh employer would still appear in this metro's count.

Where these numbers come from

All figures come from the BLS Occupational Employment and Wage Statistics survey, May 2025 release, for the Raleigh-Cary, NC Metropolitan Statistical Area. BLS does not publish a 'data analyst' occupation; the figures above use Data Scientists (SOC 15-2051), the closest published match, and Software Developers (SOC 15-1252) as the proxy for AI engineering roles. OEWS estimates are built from six semiannual panels collected over three years, so they are stable but lag fast-moving pay changes. Wages cover base pay and exclude equity and bonuses, which understates total compensation at large technology employers.