Data Analyst (AWS Quicksight) - Mountain View, CA (Hybrid)

Our client is looking Data Analyst (AWS Quicksight) for Contract project Hybrid below is the detailed requirements. Job Title : Data Analyst (AWS Quicksight) Location : Mountain View, CA (Hybrid) Duration : Contract Job description: • Bachelor's degree in Computer science or equivalent, with minimum 12+ Years of Overall IT experience. • Must have Strong SQL, AWS Quicksight experience with ETL and some Data engineering experience as well in building pipelines • Should have good knowledge of AWS services • Should have Policy Performance & Validation Experience • Setup baseline for the validation of policies for Insider Risk and Workforce Security including Policy Testing, Efficacy Analysis. • Should have Workforce & Identity Intelligence (Human & Non-Human) • Workday Correlation: Build pipelines to ingest employee lifecycle events (onboarding, transfers, resignations) and correlate security signals. • 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. • Privileged Access Monitoring: Create dedicated views for Admin/Super-user activity, focusing on "Privileged Elevation" events and unauthorized access to sensitive codebases. • Data Loss Prevention (DLP) & GenAI Governance • Software & Web Analysis: Correlate "Unauthorized Software" installs with "Malicious Website" visits to identify potential "Hijacking" or "Malicious Insider" precursors. • Unified Dashboarding: Develop and maintain a "Single Pane of Glass" that aggregates the above signals into a business-unit-level risk score. • Persona-Based Reporting: Create tailored dashboards for different personas • Excellent communication and teamwork skills. Demonstrate excellent communication skills including the ability to effectively communicate with internal and external customers. • Ability to use strong industry knowledge to relate to customer needs and dissolve customer concerns and high level of focus and attention to detail.