Analytics Engineer 5 – Demand Science

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $330k - $566k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 0%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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

• Partner directly with Scientists, Product Managers, and Engineers on media planning and campaign management analytics initiatives • Lead open-ended discovery, surfacing risks and opportunities before they're asked for • Own end-to-end development of analysis, metrics, and tools used across Ads Demand • Turn data into insights and recommendations that shape campaign and planning outcomes • Define and evolve metrics describing campaign and planning health • Partner with data engineering to keep analytics data reliable and available • Communicate findings and recommendations clearly to technical and non-technical audiences

🎯 Requirements

• 5+ years in a data analytics or data science function, with a track record of independent, open-ended analysis, in addition to dashboard delivery • 5+ years of experience manipulating large data sets with complex SQL and Python (or similar languages), big data technologies (e.g., Hadoop, Spark), and visualization tools • Comfort with ambiguity; able to take ownership and thrive with minimal oversight and process • Track record of turning analysis into a point of view that changes roadmap or product decisions • Experience managing stakeholders' asks, expectations, and relationships across a variety of stakeholders • Exceptional communication and collaboration skills coupled with strong business curiosity and acumen • Enthusiastic about and compatible with Netflix culture • Nice to have: Experience with LLM techniques that accelerate data analysis

🏖️ 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