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Data Loss Prevention Analyst

icon building Empresa : Jobgether
icon briefcase Tipo de Emprego : Periodo Integral

Descrição do Emprego - Data Loss Prevention Analyst


This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Loss Prevention Analyst based in Brazil.


This role is focused on protecting sensitive business information through advanced data protection strategies, classification standards, and security controls.
The professional will design, implement, and manage Data Loss Prevention (DLP) policies to reduce security risks and prevent unauthorized data exposure.
You will work closely with cybersecurity teams and business users to strengthen information governance and promote secure data handling practices.
The position offers the opportunity to contribute to enterprise-level security initiatives in a global and technology-driven environment.
You will play a key role in improving data protection maturity, investigating security events, and ensuring compliance with privacy and governance requirements.
This is a strategic opportunity for a security professional who combines technical expertise, analytical thinking, and a proactive approach to risk reduction.


Accountabilities:


The Data Loss Prevention Analyst will be responsible for protecting sensitive information by managing DLP technologies, improving security controls, and supporting data governance initiatives. The main responsibilities include:



  • Classifying and labeling sensitive data according to approved information protection standards.

  • Developing, maintaining, and optimizing DLP policies, rules, and security controls.

  • Configuring controls to prevent unauthorized sharing of sensitive information through email, cloud platforms, web uploads, removable media, and collaboration tools.

  • Creating user notifications and policy guidance to help employees understand and comply with data protection requirements.

  • Monitoring, investigating, and responding to DLP alerts, incidents, and policy violations.

  • Supporting the creation and improvement of data protection, classification, and handling policies.

  • Providing security awareness guidance and education to users regarding secure information management practices.

  • Tracking effectiveness indicators, including improved data labeling, reduced unauthorized transfers, and timely incident resolution.


Requirements:


The ideal candidate will have strong experience in cybersecurity, information protection, and Data Loss Prevention solutions, with the ability to analyze risks and implement effective controls. Required qualifications and skills include:



  • 5+ years of experience in Information Security, Data Protection, Data Loss Prevention, or Security Operations.

  • Experience with enterprise DLP platforms and data classification technologies.

  • Knowledge of information protection frameworks, data governance, privacy principles, and regulatory requirements.

  • Experience developing security policies, controls, and data protection procedures.

  • Ability to investigate security incidents and analyze DLP alerts effectively.

  • Strong analytical and problem-solving skills with attention to detail.

  • Excellent communication skills and ability to collaborate with technical teams and business stakeholders.

  • Knowledge of key security concepts, including DLP, data classification, labeling, compliance, governance, and security awareness.


Benefits:


The role offers a competitive package designed to support professional growth, flexibility, and employee well-being, including:



  • Remote work model from São Paulo.

  • Full-time employment opportunity.

  • Competitive compensation package aligned with experience and skills.

  • Benefits package including healthcare and employee support programs.

  • Opportunity to work with global cybersecurity initiatives and enterprise-level technologies.

  • Professional development opportunities in information security and data protection.

  • Collaborative environment focused on innovation, learning, and continuous improvement.


How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!


 

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

 

 

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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