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Coderhouse goes global

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Data Analyst Jobs and Salaries in Los Angeles (May 2025 BLS Data)

Dan Patiño

· AI Strategy & Innovation at Coderhouse

Salary sites will tell you what a data analyst earns in Los Angeles. What they rarely tell you is how many such jobs exist, or what the bottom of the range looks like. Here both: about 9,850 roles, a median of $129,740, and a 10th percentile of $71,080. Everything below comes from the BLS OEWS May 2025 release.

Median salary

$129,740

Entry level (10th pct)

$71,080

Concentration (LQ)

0.93

How big is the data job market in Los Angeles?

The Los Angeles-Long Beach-Anaheim, CA area accounts for about 9,850 of the 275,600 data scientist positions in the country, or 3.6%, which ranks it 4th among the 25 metros here. National growth is projected at 35%.

What do data analysts earn in Los Angeles?

$129,740 is the local median, 8% above the national median of $120,230. The 25th and 75th percentiles, $91,350 and $168,420, bracket the middle half of the market; $208,280 marks the top decile and $136,700 the average.

What can you expect to earn starting out in Los Angeles?

If you are planning a career change, plan against $71,080, the local 10th percentile, rather than $129,740. The national equivalent is $67,240. The median describes someone already several years into the work.

Is Los Angeles actually a data hub?

The location quotient for data scientists in Los Angeles is 0.93, meaning the occupation is about as concentrated here as it is nationally. In practice, the market is roughly the size the metro population would predict. 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 Los Angeles?

The BLS has no occupation code for AI engineer. The closest published proxy is Software Developers (15-1252), which in Los Angeles employs about 55,540 people at a median of $160,920, 18% above the national median of $135,980. The 10th percentile is $98,270 and the 90th is $223,150. 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

$71,080

25th percentile

$91,350

Median

$129,740

Mean

$136,700

75th percentile

$168,420

90th percentile

$208,280

vs national median

8% above the national median

Software developers · median

$160,920

Frequently asked questions

How much do data analysts make in Los Angeles?

The median for the closest BLS occupation, data scientists, is $129,740 a year in the Los Angeles metro area as of May 2025. The range runs from $71,080 at the 10th percentile to $208,280 at the 90th.

How many data jobs are there in Los Angeles?

About 9,850 positions under SOC 15-2051, which is 0.93 times the national concentration per worker. That ratio tells you whether the market is deep or just large.

Is Los Angeles a good place to start a data career?

On the data: pay is 8% above the national median and the occupation is about as concentrated here as it is nationally. The entry reference point is $71,080. 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 Los Angeles?

BLS does not publish by experience level. The 10th percentile, $71,080, is the best available proxy for early-career pay, against $67,240 nationally.

Do I need to live in Los Angeles 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 Los Angeles 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 Los Angeles-Long Beach-Anaheim, CA 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.