Analytics Engineer (L5) - Ads

At Netflix, we seek to entertain the world. We have more than 200 million members in 190 countries, reflecting that great stories can come from anywhere and be loved everywhere.

In April 2022, we announced that we are creating a new lower priced, ad-supported tier for our customers. We are now working toward our goal of providing more choice for consumers and a premium, better-than-linear TV brand experience for advertisers. That said, we are looking for the founding members of this new business area for Netflix!

The Ads Data Science and Engineering team at Netflix's mission is to help build the foundation of the ads business at Netflix. We conduct analyses and develop analytic tools, build predictive models and algorithms using machine learning, all with the goal of creating more choices and joy for our members. As a Senior Analytics Engineer, you'll design metrics, generate insights by scoping and executing deep dive analysis, and provide recommendations from a rigorous evaluation of product experiments. You'll work closely with partner teams to build workflows, provide recommendations and drive success on end-to-end analytics initiatives in this 0 -1 space.

Responsibilities

* Be a strategic partner for the business: Identify opportunities and create solutions to automate and scale ad hoc requests
* Spearhead the creation of metrics that provide insight and help with decision-making
* Develop high-impact dashboards and analyses to build visibility into the health of our ad platform, ad operations, and lead efforts to scale reporting through automation
* Facilitate information self-service to business users through data pipelines and custom analytic tools

Qualifications

* A senior analytics professional with a proven track record of data analysis, reporting and visualization (e.g. Tableau, D3)
* A strong communicator with the ability to build meaningful stakeholder relationships
* Enthusiastic about innovating in a fast-paced data and analytics space
* Excited to learn about new fields, with the ability to be scrappy as needed
* Comfortable with ambiguity; able to thrive with minimal oversight and process
* Expertise in SQL, programming skills (e.g. Python, Scala), and some exposure to ETL and data warehousing concepts

Culture

You will have the opportunity to impact the business in a meaningful way. You will have the freedom to innovate, solve interesting problems and influence in a fast paced, exciting environment. You will work with smart people who love to solve hard problems, and who not only expect but also foster high performance. You can learn more about the Netflix culture at jobs.netflix.com/culture.

We are an equal opportunity employer and celebrate diversity, recognizing that diversity of thought and background builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.

The overall market range for roles in this area of Netflix is typically $150,000 - 900,000

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more here.

Salary : $150,000 - $0