Analytics Engineer 5, Demand Science

Netflix

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$330,000–$566,000 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $211k
This role $448k
$122k most similar roles pay here $614k

This role pays more than 96% of similar roles. Most pay $175,225–$246,150 — the shaded band above. At the midpoint, this role pays about $448k versus about $211k for comparable roles.

Based on 240 similar postings.

Employer

About Netflix

Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media

Netflix currently has 71 open roles on FindRole.

Listed pay typically runs $440,000–$725,000 across 59 roles with salary data.

Most-posted roles

View all roles at Netflix

At a glance

TL;DR · Analytics Engineer 5, Demand Science

The Analytics Engineer 5 - Demand Science joins the Demand Science team within Ads Data Science & Engineering to support Netflix Ads growth by helping the business attract and scale advertiser demand. This role involves leading analytics across media planning and campaign management tools, ML models, and agentic solutions. You will perform open-ended discovery to identify patterns, risks, and opportunities, turning these into actionable points of view that shape product roadmaps. Key responsibilities include owning end-to-end development of metrics and tools, partnering with data engineering to ensure data reliability, and communicating findings to diverse audiences. Required technical skills include manipulating large datasets using complex SQL and Python, big data technologies like Hadoop and Spark, and various visualization tools. Experience with LLM techniques for data analysis is also preferred.

What you'll do

  • Lead analytics across media planning and campaign management tools, ML models, and agentic solutions.
  • Partner with scientists, product managers, and engineers on analytics initiatives.
  • Conduct open-ended discovery to surface risks and opportunities proactively.
  • Own end-to-end development of analysis, metrics, and tools used across Ads Demand.
  • Translate data into actionable insights and recommendations to shape campaign outcomes.
  • Define and evolve metrics that describe campaign and planning health.
  • Partner with data engineering to ensure analytics data is reliable and available.
  • Communicate findings and recommendations clearly to both technical and non-technical audiences.

What we're looking for

  • 5+ years of experience in a data analytics or data science function.
  • 5+ years of experience manipulating large data sets with complex SQL and Python.
  • Experience with big data technologies such as Hadoop or Spark.
  • Experience with visualization tools.
  • Track record of turning analysis into a point of view that changes roadmap or product decisions.
  • Exceptional communication and collaboration skills with strong business curiosity and acumen.
  • Experience managing stakeholders' asks, expectations, and relationships across a variety of stakeholders.
  • Experience with LLM techniques that accelerate data analysis (preferred).

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