11 days ago

Security Analytics Engineer

Netflix

Hybrid
Full Time
PLN 200,000
Hybrid

Job Overview

Job TitleSecurity Analytics Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered SalaryPLN 200,000
LocationHybrid

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Job Description

About Netflix

Netflix is one of the world's leading entertainment services, with over 300 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

About Security Platforms Engineering (SPE)

The Security Platforms Engineering (SPE) team builds and operates foundational and scaled security services for Netflix, including asset inventory, vulnerability management, risk insights and a unified security experience. Our goal is to ensure strong foundations and resiliency to security threats, and we help Netflix be a place where security controls scale automatically, critical risks are systematically reduced, and our workforce is empowered to make confident, risk-informed decisions.

We are expanding our team in Poland to help build and support our Vulnerability Management (VM) program, which owns vulnerability visibility, triage, and remediation for assets across Netflix’s ecosystem.

About The Security Analytics Engineer Role

As a Security Analytics Engineer, you will analyze the vast data around our security posture and build insights leveraging data-driven solutions to advance our vulnerability management and strategic security insights programs. You will play a key role in designing robust and clear metrics and analytics, developing high-impact dashboards, and surfacing actionable intelligence that strengthens our security posture.

The role is remote for candidates located in Poland.

Key Responsibilities

  • Own the end-to-end process: define, build, and maintain security metric dashboards, and conduct in-depth analyses to surface trends and insights in vulnerability data and security metrics.
  • Collaborate closely with security engineers to understand our program's posture and identify areas for improving identification, prioritization, and remediation workflows.
  • Partner with stakeholders to translate security needs into actionable recommendations.
  • Share your expertise and innovations with the broader security community, strengthening our collective capabilities and enabling best practices.

About You

  • Proven track record of defining, designing, and developing scalable analytic tools and systems, ideally in vulnerability management or security analytics.
  • High proficiency in Python, SQL, Spark, and experience with data visualization tools (e.g., Preset, Tableau).
  • Fluency with various aspects of security programs, including key metrics and questions.
  • Strong foundation in statistical inference, data analysis, and data engineering best practices.
  • Experienced in orchestrating cross-functional stakeholders without direct authority and leveraging analytics to inform and steer security decisions.
  • Exceptional communication and collaboration skills.
  • Comfortable with ambiguity; able to take ownership and thrive with minimal oversight and process.
  • Netflix culture resonates with you.

Key skills/competency

  • Security Analytics
  • Vulnerability Management
  • Data Analysis
  • Python
  • SQL
  • Spark
  • Data Visualization
  • Statistical Inference
  • Data Engineering
  • Stakeholder Collaboration

Tags:

Security Analytics Engineer
security analytics
vulnerability management
data analysis
data engineering
statistical inference
dashboarding
metrics
stakeholder collaboration
Python
SQL
Spark
Tableau
Preset
data visualization
big data
security posture
risk management
security platforms
analytics systems

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How to Get Hired at Netflix

  • Research Netflix's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight experience in security analytics, vulnerability management, Python, SQL, and data visualization, aligning with the Security Analytics Engineer role.
  • Showcase data expertise: Prepare to discuss projects demonstrating data analysis, statistical inference, and building scalable analytic tools.
  • Practice behavioral questions: Focus on examples of cross-functional collaboration, problem-solving ambiguity, and influencing without direct authority.
  • Prepare for technical interviews: Be ready to solve real-world security data challenges using Python, SQL, and demonstrating data engineering best practices.

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