Our client is an industry leader in on-demand, autonomous ride-hailing. We are leading a search for an experienced Data Loss Prevention Analyst to provide technical support for deploying, configuring, and optimizing the company's DLP security platforms.

In this role, you will use DLP tools to:

Better understand the organization's data and information classifications.
Discover and identify intentional and unintentional data loss threats.
Validate the process, technologies, and services handling critical information.

The ideal candidate has 5+ years of experience reviewing and remediating DLP alerts. We're looking for detail-oriented, critical-thinking individuals who can communicate results effectively.

As a Data Loss Prevention Analyst, you'll:

Remediate DLP alerts and perform analysis for triage or escalation.
Maintain DLP technology and compile reports.
Partner with engineering, operational, people/HR, and product colleagues.
Contribute to risk measurement, perception, mitigation, and prevention with data stories.
Analyze business, product, and security data, uncover evolving threats and risks, and identify weaknesses, patterns, and anomalies.
Partner with the incident response team to escalate and respond to potential or real threats.
Define, implement, and support process and technology improvements related to preventing unauthorized disclosure, modification, removal, or destruction of information.
Assist in the development and implementation of security awareness training programs for relevant stakeholders.
Suggest recommendations for new policies, standards, and procedure

Requirements:

Associate's degree or equivalent in one of the following (computer science, statistics, math, internet security, or other relevant majors) or equivalent on-the-job experience from academia, law enforcement, military service, or government service
5+ years of experience reviewing and remediating DLP alerts
Experience using data protection solutions, such as Forcepoint, Symantec, McAfee, Microsoft Purview, or CrowdStrike
Ability to process raw structured and unstructured data (e.g. CSV, JSON)
Knowledge of data privacy and protection regulations
Knowledge of NIST CSF, RMF, and SP 800-53
Ability to grasp technical aspects, willingness to learn new and challenging technology, and enthusiasm for accepting challenging assignments
Ability to think critically, objectively, and rationally and communicate in a result-oriented, data-driven manner.

Nice to Have:

Experience with CrowdStrike
Familiarity with statistical analytical tools and data visualization
Experience with policy and rule software tools

Benefits:

Pre-tax commuter benefits
Employer-subsidized healthcare benefits
Flexible Spending Account for healthcare-related costs
All cost covered for short and long-term disability and life insurance
401k package

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Data Loss Prevention Analyst