Analytics Engineer 5 - Growth & Membership

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.

Data is at the heart of our payment strategy and innovation at Netflix. In the Payments Data Science & Engineering team, we provide guidance to the business not only through analysis, metrics research, experimentation, causal inference, and modeling, but also through exceptional judgment, partnership, and business acumen. These deeply collaborative, innovative efforts unlock hundreds of millions of dollars in revenue impact each year.

As an Analytics Engineer, you will join a team of other Analytics Engineers, Data Scientists, and Machine Learning Practitioners. You will use data to identify opportunities and help shape product decisions within the payment experience across the member lifecycle. You will collaborate with the payments team, data engineers, and analysts to provide insights and tooling to scale data-driven decision-making for Netflix.

In this role, you will:

• Partner directly with our stakeholders (e.g., Data Scientists, Product Managers, Designers, Data Engineers, Software Engineers) on data, metrics & analytics initiatives

• Proactively identify and perform data exploration and deep dives to influence future product directions 

• Develop and validate the appropriate metrics to measure success across the payment experience and lifecycle

• Improve foundational data models while designing, owning, and implementing analytical layers and visualizations for scalable analytics

• Drive the direction and execution of your work by prioritizing competing demands toward the most impactful items

• Collaborate with the data engineering and data science teams to ensure data quality, integrity, and availability for analysis

• Contribute to the excellence of the Netflix analytics engineering community 

• Live Netflix values while bringing a new perspective to continue improving our culture.

To be successful in this role, you have:

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

• A proven track record of data analysis, maintaining analytical layers, reporting and visualization (e.g. Plotly Dash, Streamlit, Tableau)

• Exceptional communication, story-telling, and collaboration skills coupled with strong business curiosity and acumen

• Willingness to learn and rapidly absorb business context in the complex payments ecosystem

• Comfort with ambiguity; able to take ownership, and thrive with minimal oversight and process

• Experience managing expectations and relationships across a variety of stakeholders

• An interest in Netflix culture

• 5+ years of industry experience in a data analytics or data science function 

• An advanced degree (Masters or PhD) in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field

• Familiarity with applied A/B testing experimentation fundamentals is a plus

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 $150,000 - $750,000.

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.