Data Analyst Salary at Datapure BETA
How much does a Datapure Data Analyst make?
As of August 2026, the average salary for Data Analyst at Datapure in the United States is $49,696 per year, which is equivalent to an hourly rate of approximately $24. Most salaries for this position fall within the range of $44,585 to $57,531 annually.
The exact salary offered will depend on factors such as a candidate's years of experience, skills, department and location.
DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.
How much does DataPure pay for other job roles?
View detailed salary information by job role at DataPure. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
Executive
$249,621 / year
Salary Range: $216,179 - $296,674
Digital
Software Engineer
$105,060 / year
Salary Range: $97,101 - $112,300
Software Development
Computer Vision Engineer
$100,470 / year
Salary Range: $90,572 - $108,631
Electronics Engineering
Manager
$95,290 / year
Salary Range: $84,725 - $105,699
Photography and Visual Arts
Marketing Data Analyst
$89,991 / year
Salary Range: $79,277 - $100,199
Data Analysis
Senior Data Analyst
$88,121 / year
Salary Range: $79,395 - $96,012
Business Data Analysis
Assistant Manager
$86,806 / year
Salary Range: $79,452 - $96,985
Surgical Services
Technical Support Specialist
$73,278 / year
Salary Range: $67,144 - $80,766
Technical Support
Market Research Analyst
$66,560 / year
Salary Range: $59,910 - $72,763
Market Research
Marketing Research Analyst
$55,543 / year
Salary Range: $50,774 - $59,796
Market Research
Research Analyst
$55,543 / year
Salary Range: $50,774 - $59,796
Market Research
Team Lead
$53,694 / year
Salary Range: $47,613 - $60,435
Customer Service
Key Skills & Their Impact on a Data Analyst at Datapure?
To succeed and maximize your earning potential as a Data Analyst at Datapure, a specific set of skills is crucial. The competencies listed below are highly valued. Explore the skills that can boost your compensation.
| Skills | Level of importance | Description |
|---|---|---|
| Analysis | Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it. | |
| Insight | Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario. | |
| Presentation | Presentation conveys information from a speaker to an audience. | |
| Initiative |
Taking decisive action and initiating plans independently to address problems, improve professional life, and achieve goals.
|
|
| Problem Solving |
Analyzing and identifying the root cause of problems and applying critical thinking skills to solve problems.
|
Data Analyst Career Path and Growth Opportunities
Understanding the career path for a Data Analyst can help you plan long-term professional growth. Below is a typical career progression for a Data Analyst, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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FAQ about Salary and Jobs at Datapure
FAQ 1: How much does Datapure pay per hour?
The average hourly pay is $24. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
FAQ 2: What is the highest salary at Datapure?
According to the data, the highest approximate salary is about $57,531 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
FAQ 3: What is the lowest pay at Datapure?
According to the data, the lowest estimated salary is about $44,585 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
FAQ 4: What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.
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