Analytics Engineer 4 - Member Insights Engineering

Netflix • Sanger, CA

1d

About The Position

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
Member DSE is at the forefront of these innovations. Our mission is to use data to improve how subscribers experience streaming and to drive higher-quality viewing and discovery experiences, no matter where, how, and when global members are watching. The Member Insights Engineering team combines capabilities across the analytical data and tooling/services/libraries layers with the goal of delivering insights through applications. The work on the Insights Engineering team has a strong technical lean and requires the ability to work effectively with engineering-centric tooling and systems.
As an Analytics Engineer, you’ll be at the forefront of using analytics and data engineering skills on big data while working with product, technology, and business teams. In this role, you will be developing and maintaining data pipelines, tools, and data products that make insights about our subscribers widely available across the company. You’ll build these data products in partnership with an interdisciplinary team of engineers, designers, analysts, and scientists.

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

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

Benefits

• Health Plans
• Mental Health support
• a 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• paid leave of absence programs
• flexible time off

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed