Analytics Engineer, Ads

About Netflix

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.

The Ads Data Science and Engineering Team

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.

The Role: Analytics Engineer, Ads

As an Analytics Engineer, Ads, 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!

Compensation & Benefits

Generally, 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 $250,000.00 - $421,000.00. This compensation range will vary based on location.

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 details about our Benefits here.

Netflix Culture & Inclusion

Netflix is 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.

Key skills/competency

• SQL
• Python
• ETL
• Data Warehousing
• Data Analysis
• Metric Design
• Dashboarding
• Stakeholder Management
• Machine Learning
• Ads Business Acumen