Netflix Logo

Netflix

Analytics Engineer (L4) - Ads

Posted 2 Days Ago
Remote
Hiring Remotely in USA
170K-720K Annually
Mid level
Remote
Hiring Remotely in USA
170K-720K Annually
Mid level
The Analytics Engineer will design datasets, metrics, and dashboards for the Ads business, conduct analyses, and drive projects to solve business problems.
The summary above was generated by AI

Netflix is one of the world's leading entertainment services, with over 300 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 design effective metrics, conduct analyses and develop analytic tools, and build predictive models and algorithms using machine learning - all with the goal of creating more choices and joy for our members.

As an Analytics Engineer, you’ll help design foundational datasets, metrics, and dashboards to measure the success of the Ads business and generate insights by scoping and executing deep dive analysis. You’ll work closely with partner teams, such as Product and Data Engineering, to gain a deep understanding of key user needs and business problems, and drive analytical projects to solve them in this 0 to 1 space. This is an exciting opportunity to be a founding member of this new business area for Netflix!

Responsibilities

  • Lead 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

  • Collaborate effectively with senior analytics engineers and cross-functional partners to identify gaps or opportunities and drive analytical projects to solve them.

Qualifications

  • Experience conducting analysis and providing recommendations to inform key business decisions, as well as building effective metrics and dashboards

  • Comfortable with SQL and Python; some exposure to ETL and data warehousing 

  • A strong communicator with an interest in building strong stakeholder relationships

  • Excited to learn about new fields with the ability to be scrappy and adapt as needed

  • Comfortable with ambiguity; able to thrive with some oversight in a fast-paced space

  • While it’s a bonus if you have prior experience in Ads, it’s not required for this role! 

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.

Netflix has a unique culture and environment.  Learn more 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.

Top Skills

Python
SQL

Similar Jobs

16 Minutes Ago
Remote
California, USA
159K-259K Annually
Senior level
159K-259K Annually
Senior level
Consumer Web • eCommerce • Machine Learning • Professional Services • Software • Sports • Analytics
Lead a software engineering team to design, develop, and deliver high-quality web and mobile applications, while promoting best practices and guiding technical strategies.
Top Skills: Api GatewayAWSC#FlutterJavaLambdaPythonReactSqs
16 Minutes Ago
In-Office or Remote
Santa Ana, CA, USA
106K-171K Annually
Senior level
106K-171K Annually
Senior level
Consumer Web • eCommerce • Machine Learning • Professional Services • Software • Sports • Analytics
The Compensation Manager will oversee compensation benchmarking, annual reviews, bonus and stock plan administration, and collaborate with HR and finance to enforce equitable pay structures. This role also involves enhancing transparency, compliance, and building international compensation programs as the company expands globally.
Top Skills: AdaptiveExcelWorkday
20 Minutes Ago
Remote or Hybrid
United States
136K-253K Annually
Senior level
136K-253K Annually
Senior level
Artificial Intelligence • Cloud • Sales • Security • Software • Cybersecurity • Data Privacy
Lead a team to enhance the Identity Security Cloud Platform by solving complex technical challenges and collaborating with various stakeholders. Manage technical debt and drive productivity.
Top Skills: AWSDockerKafkaKubernetesSqs

What you need to know about the Boston Tech Scene

Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.

Key Facts About Boston Tech

  • Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
  • Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
  • Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
  • Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account