Data Analyst Backend Developer information
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$12.02 - $18.60
0% of jobs
$18.60 - $25.17
1% of jobs
$25.17 - $31.75
5% of jobs
$31.75 - $38.33
6% of jobs
$38.33 - $44.91
7% of jobs
$46.88 is the 25th percentile. Wages below this are outliers.
$44.91 - $51.49
16% of jobs
The median wage is $57.19 / hr.
$51.49 - $58.06
16% of jobs
$58.06 - $64.64
18% of jobs
$66.92 is the 75th percentile. Wages above this are outliers.
$64.64 - $71.22
14% of jobs
$71.22 - $77.80
11% of jobs
$77.80 - $84.38
5% of jobs
How much do data analyst backend developer jobs pay per hour?
As of Sep 15, 2026, the average hourly pay for data analyst backend developer in the United States is $57.73, according to ZipRecruiter salary data. Most workers in this role earn between $47.36 and $68.27 per hour, depending on experience, location, and employer.
A Data Analyst Backend Developer is a professional who combines skills in data analysis with backend software development. They are responsible for managing and processing data, designing and implementing databases, building APIs, and integrating analytical tools into backend systems. This role often involves extracting insights from large datasets and ensuring the secure, efficient flow of data between servers and applications. By blending data analytics with backend development, they help organizations make data-driven decisions and build robust data infrastructures.
Data Analyst Backend Developers often serve as a bridge between data scientists and front-end developers by transforming raw data into structured databases and APIs. They work closely with data scientists to understand data requirements and ensure efficient data extraction, transformation, and loading processes. On the other hand, they collaborate with front-end developers by providing well-documented endpoints and ensuring data is accessible, secure, and optimized for user-facing applications. This cross-functional teamwork is essential for delivering robust, data-driven products.
To thrive as a Data Analyst Backend Developer, you need strong analytical skills, proficiency in programming languages such as Python or SQL, and a background in computer science, statistics, or a related field. Familiarity with database management systems (e.g., MySQL, PostgreSQL), data warehousing tools, and platforms like AWS or Azure, as well as relevant certifications, are typically required. Attention to detail, problem-solving ability, and effective communication set top performers apart in this role. These skills ensure accurate data processing, efficient backend operations, and clear translation of complex data insights for business impact.
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