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Associate, Ads Revenue & Yield Analytics

Min Experience

2 years

Location

New York, New York, United States of America

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

The Netflix Ads Revenue & Yield Analytics team is responsible for driving the optimization and growth of Netflix's advertising business. We partner closely with the Advertising, Sales, and Product teams to provide high-impact analytics, insights, and recommendations that inform strategy and investment decisions. As an Associate Analyst on this team, you will play a key role in surfacing critical insights and driving data-driven decision making. Responsibilities: - Build reports, dashboards, and ad-hoc analyses to track the health and performance of Netflix's advertising business - Deliver meaningful insights and recommendations to leadership, sales, and product teams to enable data-driven decision making - Partner with cross-functional teams to identify opportunities for optimization and growth - Develop a deep understanding of Netflix's advertising data and analytics - Proactively identify areas for improvement and drive initiatives to address them - Effectively communicate complex analyses and recommendations to a range of stakeholders Requirements: - 2-4 years of experience in analytics, data science, or a similar quantitative role - Strong SQL skills and familiarity with data visualization tools (e.g. Tableau, Power BI, etc.) - Proficiency in programming languages like Python or R - Excellent analytical and problem-solving skills, with the ability to derive insights from complex data - Effective communication and stakeholder management skills - Passion for Netflix's business and the online advertising industry

About the company

Netflix is the world's leading streaming entertainment service with over 221 million paid memberships in over 190 countries enjoying TV series, documentaries, feature films and mobile games across a wide variety of genres and languages. Members can watch as much as they want, anytime, anywhere, on any internet-connected screen. Members can play, pause and resume watching, all without commercials or commitments.

Skills

sql
python
r