E-Solutions
AWS Quicksight Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Quicksight Data Analyst with a contract length of "unknown," offering a pay rate of "unknown." Key skills required include strong SQL, AWS Quicksight, ETL, and data engineering experience. Industry experience in security and data analysis is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 19, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Mountain View, CA
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #AWS (Amazon Web Services) #API (Application Programming Interface) #Workday #Data Loss Prevention #GitHub #Security #Data Engineering #SQL (Structured Query Language) #Monitoring #Datalakes #Data Analysis
Role description
Skill Required: Strong SQL, AWS Quicksight experience with ETL and some Data engineering experience as well in building pipelines and such, also should have good knowledge of AWS services
Job Description
1. Policy Performance & Validation
Setup baseline for the validation of policies for Insider Risk and Workforce Security including Policy Testing, Efficacy Analysis.
1. Workforce & Identity Intelligence (Human & Non-Human)
1. Workday Correlation: Build pipelines to ingest employee lifecycle events (onboarding, transfers, resignations) and correlate security signals.
1. Non-Human Identity (NHI) Management: Develop a risk-scoring framework for Service Accounts, Bots, and API Keys. Identify "Orphaned" accounts and anomalous NHI behavior in AWS, GitHub, and Datalakes.
1. Privileged Access Monitoring: Create dedicated views for Admin/Super-user activity, focusing on "Privileged Elevation" events and unauthorized access to sensitive codebases.
• 3. Data Loss Prevention (DLP) & GenAI Governance
Skill Required: Strong SQL, AWS Quicksight experience with ETL and some Data engineering experience as well in building pipelines and such, also should have good knowledge of AWS services
Job Description
1. Policy Performance & Validation
Setup baseline for the validation of policies for Insider Risk and Workforce Security including Policy Testing, Efficacy Analysis.
1. Workforce & Identity Intelligence (Human & Non-Human)
1. Workday Correlation: Build pipelines to ingest employee lifecycle events (onboarding, transfers, resignations) and correlate security signals.
1. Non-Human Identity (NHI) Management: Develop a risk-scoring framework for Service Accounts, Bots, and API Keys. Identify "Orphaned" accounts and anomalous NHI behavior in AWS, GitHub, and Datalakes.
1. Privileged Access Monitoring: Create dedicated views for Admin/Super-user activity, focusing on "Privileged Elevation" events and unauthorized access to sensitive codebases.
• 3. Data Loss Prevention (DLP) & GenAI Governance
