Analytics Engineer 5 - Content

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.

Our mission to entertain the world is anchored in our content, and data is a crucial component in shaping our comprehensive content strategy. The Content DSE team provides Netflix with a trusted measurement framework for content quality and value. We develop and evolve the metrics that inform billions of dollars in content investment decisions. As a measurement center of excellence, we don't just compute metrics-we define what success means, build the infrastructure to scale them, and make them accessible to stakeholders across the company.

We are seeking a Senior Analytics Engineer to build measurement insights, data products, and prototypes that inform strategic content decisions. This role will partner closely with the business and data scientists to translate research concepts into production-ready prototypes, develop new metrics from concept to launch, and create analytical tools that make complex measurement frameworks accessible to stakeholders. You'll have significant ownership over projects-from metric development and validation to dashboard design and stakeholder presentations-and will proactively identify opportunities to improve how Netflix measures content success.

In this role, you will:

• Research, design, and prototype new metrics and measurement frameworks that inform content strategy and investment decisions, proactively identifying gaps and opportunities

• Build dashboards, analytical tools, and self-service products that make measurement insights accessible to stakeholders

• Partner with data scientists and business partners to operationalize measurement research, developing prototypes, ETL workflows, and data models before partnering with data engineering for production scaling

• Conduct exploratory analyses on content performance, member behavior, and metric validation to inform strategic decisions

• Drive metric development end-to-end-from concept development through validation, senior leadership presentations, documentation, and stakeholder education

• Serve as a strategic advisor to stakeholders across Content, Finance, Marketing and Product, influencing decision-making through clear insights

What you’ll bring:

• 5+ years in analytics engineering, data science, or similar analytical role building data products

• Expert-level SQL and strong proficiency in Python or R for analytical prototyping, statistical analysis, and data manipulation at scale

• Proven track record building dashboards and data visualization products (Tableau, Looker, or similar)

• Experience with data modeling, ETL workflows, and modern data stack technologies (e.g., dbt, Airflow, Spark)

• Strong analytical skills—comfortable conducting exploratory research, validating hypotheses, and working at the intersection of research and production

• Self-starter with high autonomy who proactively identifies impactful problems, drives projects from ambiguous starting points, and asks "what should we measure?" and "how can we make this better?"

• Excellent communication and presentation skills with ability to influence technical and non-technical audiences at all levels, including senior leadership

• Strong partnership skills with data scientists, engineers, and business stakeholders

• Enthusiastic about Netflix culture and values

We'd be especially excited if you also have:

• Experience with measurement systems and metric development

• Background in content analytics, entertainment, or product analytics

• Familiarity with statistical concepts (causal inference, experimental design, regression analysis)

• Experience presenting to senior leadership and driving metric launches

• Comfort leveraging AI tools to enhance workflows and accelerate development

 

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 $330,000.00 - $566,000.00. 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 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.

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