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Data Analyst
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Data Analyst Salary and Equity in 2024

How much do Data Analysts expect to make at US-based startups? The average expected salary for Data Analysts in a startup is 85k per year, with a range from 40k to 160k. The salary range for Data Analysts varies depending on factors such as location, industry, experience, skills, and startup stage.

85.2k

Average Salary

2 years

Average years of experience

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Salary

By quarter
The average Data Analyst salary is $85,167, which is 16.0% lower than the average startup salary of $101,417. Data Analyst salaries are based on exclusive Wellfound data. All data is updated on a weekly basis. Factors that may influence salary include: location, years of experience, title, size of company, skill-set, and industry.

Top of market

$141,417/yr

Range $120k - $160k

Average

$85,167/yr

Range $75k - $95k

Below Average

$64,083/yr

Range $40k - $72k


Top Locations

The highest average salary a Data Analyst can get in Chicago, that is $150,000. This pay is 76.1% higher than the average Data Analyst salary in startups, which is $85,167. Salaries will vary based on your location. The top-paying markets in the US, on average, are currently: Chicago (avg $150,000 per year), Minneapolis (avg $110,000 per year), Denver (avg $101,000 per year). Remote jobs often pay based on the location you reside in.
Chicago

$150k

Denver

$101k

Boston

$80k

San Francisco Bay Area
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Industries

The highest average salary a Data Analyst can get in Mobile, that is $160,000. This pay is 15.5% higher than the average Data Analyst salary, which is $138,500. The highest-paying industries in 2023 are: Mobile (avg $160,000 per year), Web Development (avg $160,000 per year), SaaS (avg $160,000 per year).

Years of experience

Below Average

Average

Top of Market

The highest average salary a Data Analyst can get with 10+ years of experience, that is $65,000. This pay is 23.7% lower than the average Data Analyst salary, which is $85,167. The salary range varies with years of experience and depends on other factors such as skill set, size of company, and industry.