How much does a Data Science Analyst make in the United States?
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The average Data Science Analyst salary in the United States is $116,898 as of September 2026. The range for our most popular Data Science Analyst positions (listed below) typically falls between $107,649 and $126,148. Keep in mind that salary ranges can vary widely depending on many important factors, including position, education, certifications, additional skills, and the number of years you have spent in your profession. With more online, real-time compensation data than any other website, Salary.com helps you determine your exact pay target.
| Job Title | Salary | Hourly Rate | Location | Date Updated |
|---|---|---|---|---|
| Analyst, Data Science | $119,450 | $57.43 | United States | September 2026 |
| Analyst, Data Science and Product | $174,755 | $84.02 | United States | September 2026 |
| SVP of Data Science | $390,439 | $187.71 | United States | September 2026 |
| VP of Data Science | $308,902 | $148.51 | United States | September 2026 |
| Data Science Director | $237,166 | $114.02 | United States | September 2026 |
| Data Science Supervisor | $117,794 | $56.63 | United States | September 2026 |
| Data Science Senior Manager | $194,318 | $93.42 | United States | September 2026 |
| Data Science Manager | $148,863 | $71.57 | United States | September 2026 |
| Data Science Architect | $167,732 | $80.64 | United States | September 2026 |
| Data Science Consultant | $148,553 | $71.42 | United States | September 2026 |
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Supports and contributes to external business analytics projects and processes to provide data-driven insights used to advise the client and develop strategies for operational improvements and future business initiatives. Uses statistical methods, modeling, analytical methodologies, and data analysis to develop and deploy tools including dashboards, infographics, reports, and models to inform and support decision-making. Mines, processes, and analyzes internal and external data using KPIs, business results, industry sources, competitor intelligence, and customer information. Develops a good understanding of the business's model, objectives, issues, and challenges by interacting and collaborating with users and stakeholders. Typically requires a bachelor's degree in finance, statistics or a quantitative field. Typically reports to a manager. Occasionally directed in several aspects of the work. Gaining exposure to some of the complex tasks within the job function. Typically requires 2-4 years of related experience. View Business Data Analyst II SalaryAlternate Job Titles:Business Analytics and Insights Specialist II, Business Operations Data Analyst II, Experienced Data Analyst
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Supports and contributes to external business analytics projects and processes to provide data-driven insights used to advise the client and develop strategies for operational improvements and future business initiatives. Uses statistical methods, modeling, analytical methodologies, and data analysis to develop and deploy tools including dashboards, infographics, reports, and models to inform and support decision-making. Mines, processes, and analyzes internal and external data using KPIs, business results, industry sources, competitor intelligence, and customer information. Develops a good understanding of the business's model, objectives, issues, and challenges by interacting and collaborating with users and stakeholders. Typically requires a bachelor's degree in finance, statistics or a quantitative field. Typically reports to a manager. Work is closely managed. Works on projects/matters of limited complexity in a support role. Typically requires 0-2 years of related experience. View Business Data Analyst I SalaryAlternate Job Titles:Business Analytics and Insights Specialist I, Business Operations Data Analyst I, Entry Data AnalystCategories : IT - All, Consulting Services, Entry Level, Financial Services, IT - Computers, Software
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Manages the identification and utilization of large data sets to identify trends, patterns, and provide key business insights. Oversees and promotes data mining, cleaning, and aggregation processes and frameworks to prepare data, implement data models, conduct analysis, and develop databases. Coordinates the design and implementation of big data solutions for an organization, collaborating and liaising with stakeholders to ensure needs are captured. Provides technical guidance to evaluate data models, review code, and source data pipelines. Prioritizes tasks and allocates resources effectively to ensure timely delivery of projects. Builds team capability with mentoring, coaching, and professional development. Typically requires a master's degree in computer science, mathematics, engineering. Typically reports to a director. Typically manages through subordinate managers and professionals in larger groups of moderate complexity. Provides input to strategic decisions that affect the functional area of responsibility. May give input into developing the budget. Typically requires 3+ years of managerial experience. Capable of resolving escalated issues arising from operations and requiring coordination with other departments. View Data Science Senior Manager SalaryAlternate Job Titles:Big Data Analytics Senior Manager