Data Analyst Salary in United States during 2024

Salary details

The average Data Analyst salary lies between USD 80,000 and USD 139,200 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.

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: Nov. 17, 2024

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 | 9606 jobs Python | 7005 jobs Data analysis | 6210 jobs Statistics | 5946 jobs Excel | 5703 jobs Tableau | 5502 jobs Power BI | 5091 jobs Engineering | 4686 jobs Data Analytics | 3875 jobs Computer Science | 3630 jobs R | 3613 jobs Research | 3439 jobs Data visualization | 3394 jobs Mathematics | 2999 jobs Finance | 2966 jobs Data quality | 2656 jobs Testing | 2536 jobs Business Intelligence | 2368 jobs Data management | 2289 jobs Security | 2104 jobs

Top 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 | 7829 jobs Health care | 5106 jobs Flex hours | 3946 jobs Competitive pay | 2889 jobs Startup environment | 2674 jobs Team events | 2596 jobs Equity / stock options | 2571 jobs Insurance | 2334 jobs Flex vacation | 2244 jobs Salary bonus | 2003 jobs Parental leave | 1826 jobs Medical leave | 1745 jobs Wellness | 1423 jobs 401(k) matching | 1243 jobs Fitness / gym | 506 jobs Home office stipend | 462 jobs Transparency | 446 jobs Unlimited paid time off | 376 jobs Gear | 369 jobs Flexible spending account | 341 jobs

Salary 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:

• 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.

• Advanced Education: Pursuing a master's degree or specialized certifications in data science or machine learning can open up higher-paying opportunities.

• Networking and Industry Engagement: Attend industry conferences, join professional groups, and engage in networking to learn about new opportunities and trends.

• 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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