How much does an Engineering Data Analyst make in the United States?
-
The average Engineering Data Analyst salary in the United States is $94,238 as of March 26, 2024. The range for our most popular Engineering Data Analyst positions (listed below) typically falls between $82,392 and $106,084. 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.
Engineering Data Analyst's Annual Base Salary
| Job Title | Salary | Hourly Rate | Location | Date Updated |
| Data Engineering Analyst | $75,262 | $36.18 | United States | March 26, 2024 |
| Data Engineering | $125,709 | $60.44 | United States | March 26, 2024 |
| Data Analyst I | $67,668 | $32.53 | United States | March 26, 2024 |
| Data Analyst II | $83,459 | $40.12 | United States | March 26, 2024 |
| Data Analyst III | $105,904 | $50.92 | United States | March 26, 2024 |
| Data Analyst IV | $130,177 | $62.59 | United States | March 26, 2024 |
| Data Analyst V | $158,872 | $76.38 | United States | March 26, 2024 |
| Data Engineering Manager | $155,911 | $74.96 | United States | March 26, 2024 |
| Data Engineering Lead | $127,722 | $61.40 | United States | March 26, 2024 |
| Head Of Data Engineering | $245,504 | $118.03 | United States | March 26, 2024 |
-
Data Analyst I supports operations and conducts data analytics projects to provide information and insights to stakeholders for decision-making or solution development. Implements data standards and deploys automation tools to extract, synthesize, and validate data from different sources and transform data into usable metrics. Being a Data Analyst I constructs data sets, monitors data quality, troubleshoots and resolves database issues to ensure data integrity. Utilizes scripting and querying tools like Python, R or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards. Additionally, Data Analyst I collaborates with stakeholders to understand their needs, objectives, and requirements. Typically requires a bachelor's degree in business, a quantitative field or equivalent. Typically reports to a manager. The Data Analyst I work is closely managed. Works on projects/matters of limited complexity in a support role. To be a Data Analyst I typically requires 0-2 years of related experience. View Data Analyst I Salary
-
Data Analyst II supports operations and conducts data analytics projects to provide information and insights to stakeholders for decision-making or solution development. Implements data standards and deploys automation tools to extract, synthesize, and validate data from different sources and transform data into usable metrics. Being a Data Analyst II constructs data sets, monitors data quality, troubleshoots and resolves database issues to ensure data integrity. Utilizes scripting and querying tools like Python, R or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards. Additionally, Data Analyst II collaborates with stakeholders to understand their needs, objectives, and requirements. Typically requires a bachelor's degree in business, a quantitative field or equivalent. Typically reports to a manager. The Data Analyst II occasionally directed in several aspects of the work. Gaining exposure to some of the complex tasks within the job function. To be a Data Analyst II typically requires 2-4 years of related experience. View Data Analyst II Salary
-
Data Analyst III supports operations and conducts data analytics projects to provide information and insights to stakeholders for decision-making or solution development. Implements data standards and deploys automation tools to extract, synthesize, and validate data from different sources and transform data into usable metrics. Being a Data Analyst III constructs data sets, monitors data quality, troubleshoots and resolves database issues to ensure data integrity. Utilizes scripting and querying tools like Python, R or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards. Additionally, Data Analyst III collaborates with stakeholders to understand their needs, objectives, and requirements. Typically requires a bachelor's degree in business, a quantitative field or equivalent. Typically reports to a manager. The Data Analyst III work is generally independent and collaborative in nature. Contributes to moderately complex aspects of a project. To be a Data Analyst III typically requires 4-7 years of related experience. View Data Analyst III Salary
-
Data Analyst IV supports operations and conducts data analytics projects to provide information and insights to stakeholders for decision-making or solution development. Implements data standards and deploys automation tools to extract, synthesize, and validate data from different sources and transform data into usable metrics. Being a Data Analyst IV constructs data sets, monitors data quality, troubleshoots and resolves database issues to ensure data integrity. Utilizes scripting and querying tools like Python, R or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards. Additionally, Data Analyst IV collaborates with stakeholders to understand their needs, objectives, and requirements. Typically requires a bachelor's degree in business, a quantitative field or equivalent. Typically reports to a manager. The Data Analyst IV work is highly independent. May assume a team lead role for the work group. A specialist on complex technical and business matters. To be a Data Analyst IV typically requires 7+ years of related experience. View Data Analyst IV Salary
-
Data Analyst V supports operations and conducts data analytics projects to provide information and insights to stakeholders for decision-making or solution development. Implements data standards and deploys automation tools to extract, synthesize, and validate data from different sources and transform data into usable metrics. Being a Data Analyst V constructs data sets, monitors data quality, troubleshoots and resolves database issues to ensure data integrity. Utilizes scripting and querying tools like Python, R or SQL, data visualization/BI tools, statistical methods, and data modeling to produce reports, data files, and dashboards. Additionally, Data Analyst V collaborates with stakeholders to understand their needs, objectives, and requirements. Typically requires a bachelor's degree in business, a quantitative field or equivalent. Typically reports to a manager. The Data Analyst V works autonomously. Goals are generally communicated in "solution" or project goal terms. May provide a leadership role for the work group through knowledge in the area of specialization. Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. To be a Data Analyst V typically requires 10+ years of related experience. View Data Analyst V Salary