Analytics Engineer 5 – Content & Studio

🕒 July 29

🇺🇸 United States – Remote

💵 $330k - $566k / 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

• Design, build, and maintain scalable data models that serve as the source of truth for the Consumer Product team. • Partner with Business Stakeholders, Product Engineering, and Data Scientists/Data Engineers to understand data needs and translate complex business requirements into technical data solutions. • Transform complex quantitative analysis into high-impact dashboards and custom data tools (e.g., Plotly Dash) that drive business decisions. • Deliver scalable data solutions by merging advanced SQL and Python proficiency with data engineering workflows, ensuring reliability through engineering best practices like CI/CD, testing, version control and monitoring. • Proactively bring data-driven perspectives that challenge assumptions, uncover growth opportunities, and shape the future direction of Netflix Consumer Products. • Manage high-impact, long-term infrastructure projects while remaining agile enough to handle ad hoc data requests.

🎯 Requirements

• 5+ years of experience with an advanced degree in a quantitative field (e.g., Engineering, Mathematics, CS) or 8+ years of relevant professional experience. • Expert in SQL • Deep experience with Python for data manipulation and automation. • Strong ability to translate ambiguous business requests into concrete data products. • Strong bias to action, favoring iteration and rapid results over perfect but delayed solutions. • Exceptional communication with technical and non-technical audiences; able to effectively influence senior stakeholders and explain complex technical concepts with clarity. • Proactively learning and adopting AI capabilities to supercharge workflow.

🏖️ Benefits

• 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 hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. • Full-time salaried employees are immediately entitled to flexible time off.