Analytics Engineer 5, Promotional Media

Netflix

Confirmed live yesterday High trust
Remote

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $255k
This role $448k
$158k $610k
below market most similar roles pay here above market

This role pays more than 86% of similar roles. Most pay $201,337–$309,550 — the blue band above. At the midpoint, this role pays about $448k versus about $255k 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 165 open roles on FindRole.

Listed pay typically runs $388,000–$619,000 across 151 roles with salary data.

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View all roles at Netflix

At a glance

TL;DR · Analytics Engineer 5, Promotional Media

The Analytics Engineer 5 - Promotional Media joins the Promotional Media AI for Member Systems team to design and develop analytic tools and systems monitoring the adoption and accountability of machine learning algorithms. This role involves building automated data solutions, high-visibility dashboards, and observability for automated pipelines to track SLA adherence and performance drift. You will partner with machine learning engineers, data scientists, and product managers to optimize promotional assets like artwork, synopses, and clips, as well as off-service marketing campaigns. The position requires high proficiency in Python, SQL, Spark, and visualization tools like Plotly Dash and Tableau. You must apply statistical inference and data engineering best practices to solve problems regarding the life of an asset and improve recommendation models for subscriber growth.

What you'll do

  • Design and develop analytic tools and systems to monitor the adoption and accountability of ML algorithms.
  • Translate ambiguous creative and quality requirements into measurable objectives and evaluation frameworks.
  • Build and maintain observability for automated pipelines to track SLA adherence and performance drift.
  • Develop scrappy code and high-visibility dashboards to identify analytic opportunities and enhance business strategies.
  • Partner with ML engineers and scientists to improve asset creation models and accelerate the productization of data insights.
  • Act as a strategic liaison to understand stakeholder business needs and provide automated data solutions.
  • Share innovations and methodologies with the broader analytics community to strengthen analytics enablement.

What we're looking for

  • Proven track record of designing and developing scalable analytic tools and systems.
  • High proficiency in Python, SQL, Spark, and data visualization tools like Plotly Dash or Tableau.
  • 5+ years of relevant experience in building data products powered by big data.
  • Familiarity with the fundamentals of Statistical Inference, Data Analysis, and data engineering best practices.
  • Experience orchestrating cross-functional stakeholders and leveraging analytics to steer business decisions.
  • Exceptional communication and collaboration skills coupled with strong business acumen.
  • Ability to take ownership and thrive with minimal oversight in ambiguous environments.
  • Experience with pipelines and visualizations involving media files (images and video) (preferred).

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