Analytics Engineer
L5, Games
Posted on 9/26/2023
INACTIVE
Netflix

10,001+ employees

Subscription streaming entertainment service
Company Overview
Netflix's mission is to entertain the world. The company operates a streaming platform for movies & TV shows and has over 222 million subscribers globally.
Consumer Software
Education

Company Stage

IPO

Total Funding

$118.8B

Founded

1997

Headquarters

Los Gatos, California

Growth & Insights
Headcount

6 month growth

1%

1 year growth

3%

2 year growth

7%
Locations
Los Angeles, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
Data Analysis
Hadoop
SQL
Tableau
Python
CategoriesNew
Data & Analytics
Requirements
  • You are an engineering-minded analyst with a strong bias towards action, delivering results quickly with iteration instead of waiting for perfection
  • You are comfortable taking vague requirements and crystallizing them into valuable tools, metrics, or analysis
  • You have strong technical skills in manipulating large data sets with complex SQL and Python (or similar languages), big data technologies (e.g., Hadoop, Spark) and visualization tools (e.g., Tableau)
  • You are a self-starter that can work effectively in a fast-paced, ambiguous environment with changing priorities and minimally defined processes
  • You are experienced in managing stakeholder asks, expectations, and relationships across a variety of stakeholders
  • Experience in Games industry a plus
Responsibilities
  • Partner directly with our Game stakeholders (e.g., Netflix Games Studio, Games Product, Game Strategy, Planning & Analysis team) on data, metrics & analytics initiatives
  • Lead end-to-end development of reports/dashboards/tools used by your direct stakeholders and a diverse set of teams across the company
  • Proactively perform data exploration and analytical deep dives to discover insights or future testing opportunities
  • Be a bridge between the business and tech, scaling access to insights that can empower better decision-making
  • Maintain and rethink existing data solutions to service a wider variety of use cases
  • Balance handling ad hoc requests while also driving larger projects forward