Data Analyst Salary in United States during 2024
💰 The median Data Analyst Salary in United States during 2024 is USD 101,254
✏️ This salary info is based on 4924 individual salaries reported during 2024
Salary details
The average Data Analyst salary lies between USD 78,800 and USD 137,600 in the United States. It represents the overall compensation/gross salary amount for the working year (before deductions like social security, taxes and other contributions), not including equity/stock options or similar benefits.
- Job title
- Data Analyst
- Experience
- all levels
- Region
- United States
- Salary year
- 2024
- Sample size
- 4924
- Top 10%
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- Top 25%
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- Median
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- Bottom 25%
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- Bottom 10%
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Region represents the primary country of residence of an employee during the year (or residence for tax purposes). All data shown are full-time equivalent (FTE) salaries. Part-time salary information has been extrapolated to its FTE value.
Last updated:Salary trend
Top 20 Job Tags for Data Analyst roles
The three most common job tag items assiciated with Data Analyst job listings are SQL, Python and Data analysis. Below you find a list of the 20 most occuring job tags in 2024 and the number of open jobs that where associated with them during that period:
SQL | 10782 jobs Python | 7822 jobs Data analysis | 7057 jobs Statistics | 6664 jobs Excel | 6387 jobs Tableau | 6113 jobs Power BI | 5812 jobs Engineering | 5256 jobs Data Analytics | 4336 jobs Computer Science | 4086 jobs R | 4039 jobs Data visualization | 3842 jobs Research | 3794 jobs Finance | 3347 jobs Mathematics | 3332 jobs Data quality | 3004 jobs Testing | 2850 jobs Data management | 2605 jobs Business Intelligence | 2593 jobs Security | 2366 jobsTop 20 Job Perks/Benefits for Data Analyst roles
The three most common job benefits and perks assiciated with Data Analyst job listings are Career development, Health care and Flex hours. Below you find a list of the 20 most occuring job perks or benefits in 2024 and the number of open jobs that where offering them during that period:
Career development | 8794 jobs Health care | 5724 jobs Flex hours | 4404 jobs Competitive pay | 3255 jobs Startup environment | 2957 jobs Team events | 2912 jobs Equity / stock options | 2858 jobs Insurance | 2609 jobs Flex vacation | 2524 jobs Salary bonus | 2212 jobs Parental leave | 2039 jobs Medical leave | 1942 jobs Wellness | 1566 jobs 401(k) matching | 1368 jobs Fitness / gym | 574 jobs Transparency | 521 jobs Home office stipend | 511 jobs Gear | 438 jobs Unlimited paid time off | 400 jobs Flexible spending account | 391 jobsSalary Composition
In the United States, the salary composition for a Data Analyst in AI/ML/Data Science typically includes a base salary, bonuses, and additional remuneration such as stock options or benefits. The base salary is the fixed component and usually constitutes the majority of the total compensation package. Bonuses can vary significantly depending on the company’s performance, individual performance, and industry standards. For instance, tech companies and startups might offer stock options as part of the compensation package, which can be a significant addition to the overall remuneration.
Regional differences also play a role; for example, salaries in tech hubs like San Francisco or New York City tend to be higher due to the cost of living and competitive job market. Similarly, larger companies may offer more comprehensive benefits and higher bonuses compared to smaller firms.
Steps to Increase Salary
To increase your salary from a Data Analyst position, consider the following strategies:
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Skill Enhancement: Continuously upgrade your skills in advanced analytics, machine learning, and data visualization tools. Proficiency in programming languages like Python or R, and experience with big data technologies can make you more valuable.
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Advanced Education: Pursuing a master's degree or specialized certifications in data science or machine learning can open up higher-paying opportunities.
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Networking and Industry Engagement: Attend industry conferences, join professional groups, and engage in networking to learn about new opportunities and trends.
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Performance and Negotiation: Consistently demonstrate high performance and be prepared to negotiate your salary during performance reviews or when taking on additional responsibilities.
Educational Requirements
Most Data Analyst positions in AI/ML/Data Science require at least a bachelor’s degree in a related field such as Computer Science, Statistics, Mathematics, or Engineering. However, a master’s degree in Data Science, Business Analytics, or a related field is increasingly preferred, especially for roles that involve more complex data analysis and machine learning tasks.
Helpful Certifications
Certifications can enhance your credentials and demonstrate your expertise to potential employers. Some valuable certifications include:
- Certified Analytics Professional (CAP)
- Microsoft Certified: Azure Data Scientist Associate
- Google Professional Data Engineer
- SAS Certified Data Scientist
- IBM Data Science Professional Certificate
These certifications can provide a competitive edge and are often recognized by employers as a testament to your skills and commitment to the field.
Experience Requirements
Typically, employers look for candidates with at least 2-5 years of experience in data analysis or a related field. Experience with data manipulation, statistical analysis, and familiarity with data visualization tools is crucial. Experience in specific industries, such as finance, healthcare, or technology, can also be beneficial, as it provides context and understanding of industry-specific data challenges.
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