Netflix is a company dedicated to entertaining the world and is seeking an Analytics Engineer to enhance subscriber experiences through data. The role involves developing and maintaining data pipelines, tools, and products that provide insights across the organization, working closely with cross-functional teams.
Responsibilities:
- Develop and maintain data pipelines, tooling, and visualizations that make member insights widely available across the company
- Identify, compute, and validate the appropriate data sources and metrics to measure success in a product area
- Partner with data engineers to design and implement a data architecture that bridges across experimentation, analytics, and operational reporting
- Partner with product managers and engineering to conduct forensic investigations into logging, including real-time monitoring of new features the team is launching to support live events
- Proactively explore trends in member engagement to surface future opportunities
- Cultivate strong partnerships with cross-functional stakeholders
- Coach partners to self-serve with existing tools, and evangelize for scaled approaches to expand data access and insights beyond our team
Requirements:
- Passion for using data to see Netflix from the eyes of our members
- Exceptional communication with technical and non-technical audiences; highly effective at developing meaningful stakeholder relationships and deep domain expertise
- Comfort with ambiguity; ability to thrive with minimal oversight and process
- Highly fluent in SQL for working with big data; familiarity with dbt is a plus
- Proficient with scripting languages such as Python
- Experienced in engineering data pipelines and orchestrating workflows
- Passion for exploring and improving technical datasets and logging
- Familiarity with software engineering best practices (e.g. source control, code reviews, unit testing)
- Embodies the Netflix values while bringing a new perspective to continue improving our culture