4998 Professional Level Data Analyst jobs in Santa Clara,CA

Weekly Pay!

Competitive Wages - $21.63/hour for Team Lead position

$21.63/hour

Medical, Dental, and Vision Insurance

Health Care and Dependent Care Flexible Spending Accounts

Employer Paid Basic Life and AD&D; Insurance

Employer Paid Long Term Disability

401(k) Savings Plan

Paid Time Off

Employee Assistance Program (EAP)

Employee Perks Program offering discounts to major companies

Employee Recognition Programs

Prior hotel experience

Previous supervisory experience desired

$205,000—$308,000 USD

This role may be eligible for incentive pay and/or equity.

Flexible time off, wellness resources, and company-sponsored team events.

**Enterprise DLP Ownership:** Demonstrated experience owning or materially contributing to an enterprise DLP or data-protection program across architecture, deployment, policy design, tuning, operations, and continuous improvement.

**Technical DLP Expertise:** Hands-on experience with enterprise DLP technologies such as Microsoft Purview, Zscaler, Netskope, Forcepoint, Broadcom/Symantec, Trellix, CrowdStrike Data Protection, or equivalent platforms.

**Detection Engineering:** Strong experience with regex, EDM/IDM, document fingerprinting, data classification, custom classifiers, and detection tuning, including reducing false positives while maintaining effective coverage.

**Data Discovery & Cloud Protection:** Experience with data discovery, classification, CASB/SaaS security, cloud data protection, and controls for sensitive data across enterprise and cloud environments.

**Automation & Investigation:** Experience using Python, PowerShell, REST APIs, SIEM, and/or SOAR platforms to automate response, analyze telemetry, and improve operational outcomes.

**Security & Privacy Frameworks:** Working knowledge of data-protection and security frameworks such as NIST CSF, ISO 27001, SOC 2, GDPR, CCPA, PCI DSS, and HIPAA.

Experience with AI/GenAI data protection, DSPM, insider risk, privacy engineering, or source-code and secrets protection.

Experience securing data in AWS, Azure, or GCP, or integrating data-protection controls into CI/CD, DevSecOps, containers, or Kubernetes.

Background in application security, cloud security, or privacy engineering.

Experience communicating data-protection strategy and posture to executives, auditors, regulators, or enterprise customers.

Relevant security, privacy, or cloud certifications such as CISSP, CISM, CIPP, GIAC, SC-400, or equivalent.