Predictive Analytics Salary: Your 2026 Guide

Key takeaways

• Data scientists, who utilize predictive analytics, earn an average annual salary of $112,590 [1].

• Your potential predictive analytics jobs salary is influenced by factors such as your education level and the industry you work in.

• Furthering your education, such as by earning a master’s degree, can help you grow your predictive analytics salary.

An entry-level predictive analytics salary will generally grow as you gain experience in the field, as Glassdoor reports predictive analysts with zero to one year of experience earn $94,000 annually, compared to $127,000 for those with over 15 years of experience [2].

Learn more about the factors that can impact a predictive analytics salary. If you’re ready to get your start, earn a Google Data Analytics Professional Certificate, where you will have the opportunity to learn in-demand skills, such as data visualization, spreadsheet software, data analysis, and more.

What is predictive analytics?

Predictive analytics focuses on exploring an organization’s data to identify future trends and make predictions. Organizations collect and analyze data to assess their business activities, the reasons they occur, and the next steps. Predictive analytics, a branch of data science, focuses on using data to predict what may occur in the future. Predictive analysts gather data to develop statistical models that predict trends and help organizations make strategic business decisions. This analysis requires a multistep process that includes:

• Defining a problem

• Collecting data related to a problem

• Processing raw data, developing predictive models

• Validating the model’s results

Predictive analytics strategies

Predictive analytics uses various strategies to evaluate data and develop predictions. Some strategies include:

• Regression analysis identifies relationships between defined variables.

• Decision trees evaluate different choices a user, such as a consumer, may make, helping the organization categorize data.

• Neural networks analyze more complex data sets, looking for nonlinear relationships between variables. Predictive analysts may also use neural networks to confirm findings identified using regression analysis or decision trees.

How does knowing predictive analytics affect your salary?

A career as a data scientist can be rewarding, leading to a median annual salary of $112,590, according to the US Bureau of Labor Statistics (BLS) [1]. According to leading job sites, data scientists specializing in predictive analytics enjoy a similar salary [3, 2, 4].

Salary information from Glassdoor represents the median total pay as of July 2026. This figure includes base salary and additional pay, which may represent profit-sharing, commissions, bonuses, or other compensation.

Your precise predictive analytics salary depends on a variety of factors, so it’s important to understand which factors impact your pay.

Factors that may affect predictive analytics salary

Your predictive analytics salary will vary depending on many factors, including your education and experience, where you live, and work. Learn more about the impact of these factors on your salary.

Job title

Your job title in predictive analytics may evolve as you progress in your career. Many entry-level data analysis jobs, such as predictive analyst or junior predictive analyst, begin with an analyst title. As you develop skills and experience, you may secure a job as a senior predictive analyst. You can expect your salary to align with the title, with a senior role earning more than a junior role. For example, a senior predictive modeling analyst earns a median total pay of $118,000 [5]. This figure includes base salary and additional pay, which may represent profit-sharing, commissions, bonuses, or other compensation.

Education

Your education can also influence how much you make as a predictive analyst. The BLS reports that employers expect predictive analysts to earn a bachelor’s degree in computer science, mathematics, statistics, business, or engineering. However, some employers may prefer employees with a master’s degree, which may result in a higher salary.

Experience

As you gain experience in predictive analytics, you may enjoy a higher salary. A predictive analyst with little experience typically earns less than one with years of experience in the field. Consider the median total pay based on years of experience for predictive analysts [2]:

• 0–1 year of experience: $94,000

• 1–3 years of experience: $97,000

• 4–6 years of experience: $105,000

• 7–9 years of experience: $108,000

• 10–14 years of experience: $115,000

• 15 or more years of experience: $127,000

Industry

Data scientists, including predictive analysts, work across industries, so the industry you work in and, more specifically, the company you work for can influence your salary. Based on May 2024 data, the BLS reports that data scientists working in computer system design and related services earn the highest salaries, with an average of $128,020 [1]. The next most lucrative industry is management of companies and enterprises, with an average annual salary of $126,940. Average salaries for other industries include [1]:

• Scientific research and development services: $120,090

• Management, scientific, and technical consulting services: $110,240

• Insurance carriers and related activities: $108,920

Location

Location is another factor that influences your predictive analyst salary. Cost of living influences your salary: Cities with a higher cost of living may warrant higher salaries to make the job attractive to potential candidates. On the other hand, you may earn a comparatively lower salary in a more affordable region. According to ZipRecruiter, the top 10 highest-paying cities for predictive analysts are as follows [3]:

1. Green River, WY: $114,600

2. San Mateo, CA: $110,206

3. San Francisco, CA: $110,013

4. Sunnyvale, CA: $109,056

5. Santa Clara, CA: $108,564

6. Fremont, CA: $108,244

7. Daly City, CA: $107,329

8. Berkeley, CA: $106,803

9. San Jose, CA: $106,717

10. Santa Rosa, CA: $106,449

Skills

The more skills you have, the more appealing you may be to potential employers, which may influence your salary. Developing proficiency in key skills relevant to the field can boost your salary and perhaps give you more leverage to negotiate a higher salary. Consider developing these skills before applying for a predictive analytics job:

• Coding skills, particularly Python, R, and SQL

• Communication skills

• Problem-solving skills

• Analytical skills

What jobs use predictive analytics?

Jobs where you can put predictive analytics skills to use include business intelligence analyst, quantitative analyst, and logistics data analyst. These professions can make an impact in a wide range of disciplines, such as supply chain management, sales, marketing, and customer support.

Predictive analytics job outlook

Data analysis is a growing field, and as more companies rely on big data to make strategic decisions, the need for data scientists will grow. As a result, you can expect to find many jobs in predictive analytics in the coming years. According to the BLS, jobs for data scientists, including predictive analysts, will grow by 34 percent between 2024 and 2034, resulting in an average of 23,400 job openings yearly [6]. Since organizations across industries rely on data to make key decisions, job opportunities in data analytics and predictive analytics will continue to grow.

Read more: How to Write a Predictive Analytics Resume

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