Security Analytics Engineer, L5

🕒 August 17

🇺🇸 United States – Remote

💵 $400k - $680k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 2%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Drive analytics behind device and authentication risk, including device trust, login/authentication protocols, and access patterns • Shape strategy for consumer security risk metrics and translate findings into dashboards • Define and evolve the consumer product risk portfolio using data to quantify and prioritize risk areas • Shape analysis and narratives for quarterly risk reviews, monthly metrics reviews, and leadership-level cost-of-fraud reporting • Partner with security product managers and product teams to define and drive adoption of security metrics and controls • Collaborate with threat-modeling partners to measure and report emerging risks • Build and maintain data pipelines and metrics powering analytics and dashboards • Design reusable solutions for consumer security teams and reduce one-off tooling

🎯 Requirements

• Domain expertise in consumer product security, such as fraud, account security, abuse/trust & safety, authentication, or privacy • Strong engineering fundamentals, including well-written, tested, maintainable code • Sound data modeling and scalable data pipelines • Expert analytics skills in SQL, Presto, Spark SQL, and Python • Strong critical thinking and ability to turn raw data into clear, compelling narratives • Ability to quickly learn new tools and techniques, including AI/LLM-based tools • Comfort operating in ambiguity and building data models, portfolios, or dashboards from 0-to-1 • Bias for action and comfort making decisions with incomplete information • Ability to drive ideas to production

🏖️ Benefits

• Annual salary compensation structure with no bonuses • Choice each year between salary and stock options • Health Plans • Mental Health support • 401(k) Retirement Plan with employer match • Stock Option Program • Disability Programs • Health Savings and Flexible Spending Accounts • Family-forming benefits • Life and Serious Injury Benefits • Paid leave of absence programs • Full-time salaried employees are immediately entitled to flexible time off