Solutions Review explores the state of advanced analytics salary in the United States, along with a link to the most popular e-learning training.
Advanced analytics has become an essential component of businesses today, enabling organizations to leverage their data to identify insights and make informed decisions. As a result, the demand for skilled professionals who can work with data at scale and perform advanced analytics continues to increase. With the growing demand for advanced analytics talent, it is no surprise that advanced analytics salaries in the United States are on the rise.
In 2023, advanced analytics salaries in the United States are expected to continue to increase. According to a report by PayScale, the national average salary for an advanced analytics professional in the United States is $99,793 per year. However, this figure can vary depending on several factors such as location, industry, experience level, and education. For example, advanced analytics professionals in the San Francisco Bay Area can expect to earn an average salary of $122,702 per year, while those in New York City can expect to earn an average salary of $115,411 per year.
Advanced Analytics Salary Expectations
The industry in which an advanced analytics professional works can also have a significant impact on their salary. According to the same PayScale report, advanced analytics professionals in the technology industry can expect to earn an average salary of $102,247 per year, while those in the finance industry can expect to earn an average salary of $96,929 per year. Other industries with high-paying advanced analytics roles include healthcare, government, and e-commerce.
Experience level is another key factor that influences advanced analytics salaries in the United States. Entry-level professionals with less than one year of experience can expect to earn an average salary of $70,000 per year, while those with 1-3 years of experience can expect to earn an average salary of $86,000 per year. Mid-level professionals with 4-6 years of experience can expect to earn an average salary of $110,000 per year, while senior professionals with 7+ years of experience can expect to earn an average salary of $130,000 per year.
Education is also an important consideration when it comes to advanced analytics salaries in the United States. While a bachelor’s degree in a related field such as computer science, statistics, or mathematics may be sufficient for entry-level roles, a master’s degree or PhD can significantly increase earning potential. Advanced analytics professionals with a master’s degree can expect to earn an average salary of $104,000 per year, while those with a PhD can expect to earn an average salary of $125,000 per year.
In addition to base salaries, many advanced analytics roles also offer additional perks and benefits. These may include bonuses, stock options, and flexible work arrangements. Companies may also offer other perks such as health insurance, retirement plans, and paid time off.
Advanced analytics is a high-demand and rewarding career path in the United States. Salaries for advanced analytics professionals are expected to continue to rise in 2023, and can vary depending on factors such as location, industry, experience level, and education. With the right combination of skills and experience, advanced analytics professionals can expect to earn a comfortable salary and enjoy a fulfilling career in a growing industry.
Recommended Analytics Training
TITLE: Become a Data Scientist Nanodegree
OUR TAKE: This Nanodegree program will provide you with real-world data science projects designed by industry experts. It takes an estimated 4 months to complete and starts with solving basic data science problems.
Description: You’ll master the skills necessary to become a successful Data Scientist. You’ll work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud. It is recommended that students be familiar with machine learning concepts and Python programming, probability, and statistics.GO TO TRAINING