Job Title: Analytics Engineer (L5) - Ads
Company: Netflix
Location: Los Angeles, CA
Description:
Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.
   

  

 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. This is an exciting opportunity to be a founding member of this new business area for Netflix!
   

  

**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**
* Expertise in SQL, programming skills (e.g. Python, Scala), and some exposure to ETL and data warehousing concepts
* 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


 Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 \- $720,000\.
   

  

 Netflix provides comprehensive benefits including 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, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full\-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full\-time salaried employees are immediately entitled to flexible time off. See more detail about our Benefits here.
   

  

 Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
   

  

 We are an equal\-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
   

  

 Job is open for no less than 7 days and will be removed when the position is filled.