After completing your MS, you must be curious about the data analytics salary in the USA. Here’s a straightforward answer for you. The average MS in data analytics salary in the USA ranges from USD 70,000 to USD 89,000 (INR 50,00,000 to INR 60,00,000), as per several reports by job portals. This makes the average salary around USD 79,500 (INR 59,40,000).
Your salary also depends upon various other factors. This includes education, certifications, additional skills, and prior work experience. The number of years you have dedicated to your profession has also become paramount.
Here’s everything you need to know about data analytics salary in the United States.
Table of Contents
Data Analyst Salaries by Years of Experience in the USA
You must be wondering what new data analysts who just completed their MS in data analytics would earn? As an entry-level data analyst, you can expect to be making about USD 40,000 (INR 30,00,000) per year.
However, even when you are able to get a little bit of experience, you can expect to make around USD 52,000 (INR 38,90,000) per annual year.
Therefore, becoming a junior data analyst means a significant increase in your salary. Overall, all these salaries vary according to experience, but they mean in the United States of America it is USD 56,500(INR 40,00,000). Let’s take a look at data analytics salaries in USA according to work experience.
- From the first 4-6 years: USD 72,500 (INR 55,00,000)
- From 7-9 years: USD 76,050 (INR 56,80,000)
- From 10-14 years: USD 78,400 (INR 58,60,500)
- When you work 15+ years: USD 79,500 (INR 59,40,000)
If you can bag a leadership role, you will further boost your salary. Your earning potential will increase a lot. As a data analytics manager, you can earn USD 121,400 (INR 90,00,000) in the United States.
As a director of analytics, you can earn up to USD 147,200 (INR 1,010,00,000). This is an excellent job for financial growth.
Top Companies for Data Analysts in the United States
Name of the Company |
Average Salary in USD |
Bloomberg L.P. | USD 77,300 (INR 58,00,000) |
Capital One | USD 90,000 (INR 68,00,000) |
Qualcomm | USD 104,000 (INR 77,00,000) |
Amazon | USD 54,000 (INR 40,00,000) |
Cisco | USD 110,100 (INR 82,30,000) |
USD 103,000 (INR 76,50,000) |
Data Analyst Salaries in a Different Location in the USA
Over the past decade, a data analyst job has been named the number one job in the United States of America. There has also been a rise in demand for them. A 28 per cent rise in employment is predicted by the year 2026.
Where you live can have a massive impact on data analytics salary in the USA. If you work in a big city like San Francisco, New York, Boston or even Washington DC, you will have a higher salary.
There is a higher cost of living in these cities, but the opportunities for your career advancement are endless. A lot of companies are becoming geographically dispersed. This means that the companies give out location-based salaries.
Your location is taken into consideration alongside your merit. Here’s a list of all the cities with various data analytics salaries in the USA.
- Washington DC: USD 78,000 (INR 58,30,000)
- Houston: USD 76,500 (INR 57,10,000)
- New York City: USD 74,300 (INR 55,50,000)
- Dallas: USD 78,000 (INR 58,30,000)
- Los Angeles: USD 71,000 (INR 53,07,000)
- Atlanta USD 69,000 (INR 51,50,000)
- Chicago: USD 67,800 (INR 50,60,000)
- Philadelphia: USD 66,000 (INR 49,30,000)
- Austin: USD 61,500 (INR 45,90,000)
Salaries for Other Data Related Professionals
For some, working as a data analyst may be the first of many steps in your career. When you gain new experiences and skills, you might become interested in other jobs. You might also want to move on to a more advanced position in your field.
Here’s a list of salaries for other data professionals so that you can compare it to the MS in data analytics salary in USA:
- Starting salary for a business analyst is: USD 77,300 (INR 57,70,000)
- Salary if you opt to become a database administrator is: USD 83,700 (INR 62,50,000)
- Business intelligence analyst starter salary is: USD 85,700 (INR 64,06,000)
- Statistician salary starts from USD 89,000 (INR 66,50,000)
- Your salary if you become a data engineer is: USD 112,500 (INR 84,10,000)
- Your salary if you become a data scientist is: USD 117,300 (INR 88,20,000)
- Data architect starter salary is: USD 118,900 (INR 88,88,000)
- Analytics manager salary is: USD 121,300 (INR 90,67,000)
- Your salary if you opt for machine learning engineer is: USD 131,000 (INR 98,14,000)
What Skills Can Improve My Data Analytics Salary in USA
As a data analyst, you are always looking for ways to increase your data analytics salary in USA. This is a very skill-heavy field. This means that companies will be willing to pay high for the right skills.
Here are the top 5 skills which are associated with a hike in data analytics salary in USA:
- JMP Statistical Software
- Database architecture
- Looker
- Natural language processing
- Bioinformatics
You can also look at the different job listings for various companies. This will give you a better idea of what skills they are looking to hire. If there is a skill that is being mentioned multiple times, chances are you should invest in it for a brighter future.
You may then be considered on a priority basis by the company. When you apply for a job, make sure that you include that skillset in your resume or cover letter. When you apply for a job, you can also research other data analysts and what they are doing.
In this way, you can learn what compensation you can expect based on your location, experience, and availability.
Final Words
Being a data analyst in the United States is an excellent career option. There is a high demand for them which means handsome pay. You will be able to earn above USD 70,000 (INR 52,30,000) with experience. Even as a junior, you may be able to earn above USD 100,000 (INR 74,70,000). So, what are you waiting for? Apply for a data analytics job in the US now!
Disclaimer! All salaries are approximate amounts subject to change depending on various conditions.
Frequently Asked Questions
Can a master’s degree help increase my data analytics salary in USA?
You can get a job as a data analyst even without a degree. However, a bachelor’s is the most common requirement for an entry-level job as a data analyst. If you get a certification or a master’s degree after that, your chances of landing a high-paying job are increased by a lot.
This will elevate your job prospects. MS in data analytics salary in USA is higher than that of a standard bachelor’s. In fact, you can earn more than USD 15,000 (INR 11,20,000) than those with just a bachelor’s degree.
Your certifications and professional degrees validate your skills. Hence, employers see your skills as validated. You can get a general certificate if a degree is too costly.
What data jobs pay the most?
You must be wondering about what are the highest-paying data analytics jobs right now? Well, here’s a list for you to make it easy:
- Data Engineer
- IT Systems Analyst
- Data Analyst
- Data Architect
- Database administrator
- Quantitative Analyst
- Marketing Analyst
- Business Intelligence Analyst
These are a few of the highest-paying data analyst jobs in the United States of America.
Are our data analysts in demand in the USA?
The short answer to this is yes. Data analysts are in great demand in the USA. In fact, in 2017, it was predicted that jobs for data professionals in the USA would surge by 365,000 by the end of 2020.
Is data analyst a stressful job?
You might be curious if being a data analyst would be a stressful job. The answer to this question lies in how you are able to handle the job. There is a high volume of work, tight deadlines, and work requests from multiple sources all the time.
Stress management can become an issue if you don’t take care.
Can a data analyst become a CEO?
There are no hindrances that might bar you from becoming a CEO after becoming a data analyst. However, once you are a CEO, you won’t have much time to do a data scientist’s work.
You will have to be an efficient manager and interact with other people to help manage their time and abilities.
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