Analytics Engineer 5 - Content DSE

Netflix

Remote

Quick summary

Work type: Remote
Location: Los Gatos
Salary: $330,000–$566,000 / yr
Posted: 37 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $179k

This role $448k

$88k most similar roles pay here $617k

This role pays more than 96% of similar roles. Most pay $139,500–$217,981 — the shaded band above. At the midpoint, this role pays about $448k versus about $179k 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 117 open roles on FindRole.

Listed pay typically runs $388,000–$619,000 across 113 roles with salary data.

Most-posted roles

View all roles at Netflix

At a glance

TL;DR · Analytics Engineer 5 - Content DSE

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As an Analytics Engineer at Netflix’s Content Applied Science and Analytics team, you will collaborate with key content verticals such as Film, Series, Live, and Licensing to drive strategic initiatives and new content projects. Your daily responsibilities include defining success metrics for emerging formats, leading the analytics roadmap for your vertical, designing advanced analytical frameworks, and mentoring peers to establish best practices. You will use cutting-edge analysis, data science, and metrics to inform content performance, transforming complex data into actionable insights that enhance member value. Ideal candidates possess creative problem-solving skills, strategic ownership capabilities, technical leadership, influential communication, and proficiency in tools like Plotly Dash, Tableau, Looker, advanced SQL, Python, CI/CD, testing, and version control.

Skills

Python SQL CI/CD Tableau Looker Plotly_Dash AWS Kubernetes Docker PostgreSQL Snowflake BigQuery Apache_Hadoop Spark Airflow Git Jenkins Prometheus Grafana

What you'll do

Define success metrics and architectural direction for new content initiatives.
Lead analytics roadmap and identify high-leverage opportunities for content strategy.
Design and implement advanced analytical frameworks and dashboards.
Mentor peers and establish best practices for technical excellence.
Transform complex data science outputs into actionable insights for stakeholders.

What we're looking for

Proven experience in defining and leading analytics roadmaps for content initiatives
Expertise in designing high-level analytical frameworks and custom data tools
Strong background in creative problem-solving with a focus on storytelling metrics
Demonstrated ability to mentor peers and establish best practices in technical design
Excellent communication skills, influencing senior stakeholders effectively
Proficiency in advanced SQL, Python, and data engineering workflows
Experience in building scalable data solutions using CI/CD and version control

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