Analytics Engineer 5 – Promotional Media

Job not on LinkedIn

🔥 6 hours ago

🇺🇸 United States – Remote

💵 $330k - $566k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

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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

• Act as a strategic partner for stakeholders and cross-functional collaborators to identify analytic opportunities and enhance business strategies with automated data solutions • Drive the direction and execution of work spanning scrappy code, high-visibility dashboards, and analyses • Translate ambiguous creative and quality requirements into measurable objectives and evaluation frameworks • Build and maintain observability for automated pipelines, tracking SLA adherence, performance drift, and other key health signals • Partner with machine learning engineers and scientists to improve asset creation and recommendation models and accelerate productization of data insights • Share innovation and collaborate with the broader analytics community to strengthen analytics enablement • Become a subject-matter expert on tooling and methodologies and act as a liaison with stakeholders to understand and fulfill business needs

🎯 Requirements

• Proven track record of designing and developing scalable analytic tools and systems • High proficiency in Python, SQL, Spark, Plotly Dash, and Tableau • Familiarity with fundamentals of Statistical Inference and Data Analysis • Familiarity with data engineering best practices • 5+ years of relevant experience building data products powered by big data • Experience orchestrating cross-functional stakeholders without direct authority • Ability to leverage analytics to steer business decisions • Exceptional communication and collaboration skills • Strong business acumen • Comfortable with ambiguity; able to take ownership and thrive with minimal oversight and process • Alignment with Netflix culture • Bonus: experience with pipelines and visualizations involving media files (images and video)

🏖️ 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