The increased amount of data available has resulted in an exponential rise in the demand for data analysts. And, hence the increased demand makes it the most lucrative job offering. Data analyst salary is a hot topic among data analysts and other data professionals, as they are some of the highest-earning individuals in the domain.
In this article, you will learn about the salary of data analysts in the US working in FAANG companies. Their salaries have been segregated based on their level of experience and location. In addition, we have also shed light on the various factors that affect the data analyst’s salary.
Watch this video to learn what kind of questions are asked during a data scientist interview. It will help you prepare better for the interview and ace it with ease.
What is the Average Data Analyst Salary in the US?
According to Glassdoor, the average salary of a data analyst working in the US is $84,000. While the US Bureau of Labor Statistics reports, the average data analyst salary is $83,640 and the hourly rate is $40.21 per hour. A report by ZipRecruiter states the average annual data analyst salary in the US is $82,630.
Source: Glassdoor
Also read:Â What Does a Data Analyst Do? A Complete Guide
FAANG Data Analyst Salary: By Experience
According to PayScale, the data analyst salary for a junior or an entry-level) position is $61,000, while a mid-level profile is $75,000. A senior data analyst earns $76,000 while an expert data analyst earns $78,000.
Let’s take a quick glance at data analyst salary at Google for junior, mid, senior, and expert-level profiles.
Source: Levels.fyi
Now, let’s look at the data analyst salary at Amazon in the following table:
Also read:Â Top Data Analyst Interview Questions and Answers
Data Analyst Salary: By Location
The US is one of the leading countries in terms of the salaries companies offer to different professionals. In comparison to other countries, the data analyst salary in the US is much higher, as can be seen from the below image:
Alt text: Data Analyst Salary in the US compared with other countries
Source: DataCamp
Now, let’s take a look at the data analyst salary based on location:
Source: Talent.com
Also read:Â Data Analyst vs. Data Scientist: Main Difference
Factors Affecting Data Analyst Salary
Data analyst salary is one of the key aspects for aspiring as well as experienced data analysts. How much a data analyst will earn depends on several factors such as location, level of experience, etc.
Let’s look at some of the key factors that affect the data analyst salary:
- Education & experience: If you are highly educated, for instance, if you hold a master’s degree, then you are in a better position to command a higher data analyst salary. Similarly, the more relevant experience you have in the domain, the better can be your salary.
- Industry:Â If you work in an industry where a lot of data is consumed such as tech or finance, then you can get higher data analyst salaries. On the other hand, if you work in sectors such as education, healthcare, etc. then your salary will be less.
- Size of company & location:Â If you work for a major company in a prime location, then your data analyst salary will be more as compared to working for a small company is a small city.
- In-demand skill: Another factor that affects the data analyst salary is whether or not you have the right and in-demand data analyst skills. If you possess a skill that is in high demand in the market, then you can command a higher compensation.
Data Analyst Salary: How Interview Kickstart Can Help You Increase Your Salary?
Interview Kickstart is one of the leading names when it comes to helping land jobs in the data profession.
We have come up with a unique Data Analyst & Business Analyst Interview Masterclass to help you crack even the toughest of interviews and land your dream job. It is designed & taught by FAANG+ experts who will guide you to create a foolproof preparation strategy. This course will help you ace data analyst interviews at FAANG and Tier-I companies.
Read the Interview Kickstart Reviews to get a glimpse of how we have helped our past tech professionals land jobs in the data profession and increase their data analyst salaries.
Also read: Machine Learning vs. Data Science — Which Has a Better Future?
FAQs: Data Analyst Salary
What Qualifications Do I Need to Become a Data Analyst in a FAANG Company?
To become a data analyst in a FAANG company, you typically need a bachelor’s degree in a related field such as data science, computer science, statistics, or mathematics. A master’s degree can enhance your prospects. Relevant certifications and proficiency in programming languages like SQL, Python, and R, as well as experience with data visualization tools, can also be beneficial.
How Does the Data Analyst Salary Compare Between FAANG Companies and Other Tech Companies?
Data analyst salaries at FAANG companies are generally higher compared to other tech companies. FAANG companies are known for their competitive compensation packages, which often include significant bonuses, stock options, and other perks. Salaries can vary widely depending on the company’s size, industry, and location.
Are There any Additional Benefits that FAANG Companies Offer to Data Analysts Apart from Salary?
Yes, FAANG companies offer a range of additional benefits including health insurance, retirement plans, paid time off, parental leave, wellness programs, and professional development opportunities. They may also offer stock options or restricted stock units (RSUs) as part of the compensation package.
What Skills are in High Demand for Data Analysts at FAANG Companies?
FAANG companies look for data analysts with strong analytical skills, proficiency in programming languages (such as Python, R, and SQL), expertise in data visualization tools (like Tableau or Power BI), and experience with big data technologies (such as Hadoop and Spark). Strong problem-solving abilities and effective communication skills are also crucial.
How can I Negotiate a Higher Salary as a Data Analyst in a FAANG Company?
To negotiate a higher salary, you should research the industry standards and have a clear understanding of your worth based on your experience, skills, and qualifications. Highlight your achievements, relevant experience, and unique skills during the negotiation. It’s also beneficial to discuss potential career growth and opportunities within the company.
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