Full Time Aws Quicksight information
See salary details
$10.10 - $17.90
4% of jobs
$17.90 - $25.70
0% of jobs
$25.70 - $33.50
0% of jobs
$33.50 - $41.30
0% of jobs
$41.30 - $49.10
2% of jobs
$49.10 - $56.91
5% of jobs
$61.64 is the 25th percentile. Wages below this are outliers.
$56.91 - $64.71
22% of jobs
The median wage is $70.20 / hr.
$64.71 - $72.51
23% of jobs
$79.99 is the 75th percentile. Wages above this are outliers.
$72.51 - $80.31
19% of jobs
$80.31 - $88.11
16% of jobs
$88.11 - $95.91
8% of jobs
How much do full time aws quicksight jobs pay per hour?
As of Aug 29, 2026, the average hourly pay for full time aws quicksight in the United States is $70.06, according to ZipRecruiter salary data. Most workers in this role earn between $62.26 and $81.73 per hour, depending on experience, location, and employer.
A Full Time AWS QuickSight professional is someone who works primarily with Amazon QuickSight, a cloud-based business intelligence (BI) service offered by Amazon Web Services (AWS). Their main responsibilities include creating interactive dashboards, analyzing data, and generating insights to help organizations make data-driven decisions. They typically collaborate with data engineers, analysts, and business stakeholders to design, implement, and maintain BI solutions. Working full-time means they are dedicated to this role as their primary occupation, often within a company that relies heavily on AWS for its data and analytics needs.
To excel as a Full Time AWS QuickSight specialist, you need strong analytical skills, experience in data visualization, and proficiency in SQL and BI concepts, often supported by a degree in computer science or a related field. Familiarity with AWS QuickSight, AWS data services (like Redshift or S3), and relevant certifications such as AWS Certified Data Analytics are highly valued. Effective communication, problem-solving, and attention to detail help you translate complex data into actionable business insights for stakeholders. These skills ensure that organizations can leverage their data for informed decision-making and drive business success.
Full-time AWS QuickSight professionals often encounter challenges such as ensuring data accuracy when integrating multiple data sources, optimizing dashboard performance for large datasets, and managing user permissions securely. Addressing these challenges involves working closely with data engineering teams to establish robust data pipelines, using best practices like efficient data modeling and aggregations, and staying updated on AWS security features. Regular collaboration with stakeholders also helps ensure that dashboards meet business needs and remain user-friendly.
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