Netflix Logo

Netflix

Analytics Engineer 5 - Content DSE

Posted 7 Hours Ago
Be an Early Applicant
In-Office
Los Gatos, CA, USA
330K-566K Annually
Senior level
In-Office
Los Gatos, CA, USA
330K-566K Annually
Senior level
Partner with content verticals to define analytics strategy, design scalable metrics and dashboards, lead data architecture for new initiatives, mentor engineers, and translate data science outputs into actionable insights to drive content decisions.
The summary above was generated by AI

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. As we envision the future of content at Netflix, we're seeking an Analytics Engineer to join the Content Applied Science and Analytics team. In this role, you will partner with key content verticals–including Film, Series, Live, and Licensing–working on both ongoing strategic efforts and new content initiatives. This role will leverage cutting-edge analysis, data science, metrics, and models to drive progress in these spaces. Your role will extend beyond advising the business on content performance; you'll also be a thought partner to the diverse cross-functional teams that bring our content to life.

The ideal candidate for this role will excel at collaborating with partners across our business, using data to help our content teams create and distribute content that drives member value. They will also be a thought leader in the analytics domain, capable of transforming complex metrics and data science outputs into actionable insights.

What you will do:

  • Empower New Content Initiatives: You will own the data vision for new content initiatives, defining success metrics, setting the architectural direction, and guiding the strategy for emerging formats from the ground up.

  • Own Data Strategy: You will define and lead the analytics roadmap for your vertical, proactively identifying high-leverage opportunities that shape our comprehensive content strategy.

  • Architect Advanced Insights: You will design and implement high-level analytical frameworks, dashboards, and custom tools that set the standard for how we measure and visualize content performance.

  • Elevate Technical Standards: You will act as a technical bar-raiser for the team–mentoring peers, reviewing technical designs, and establishing best practices to ensure we are building robust, scalable solutions.

We are looking for:

  • Creative Thinking: You are a creative problem solver who can look beyond the numbers to understand the art of storytelling, bringing innovative approaches to how we measure and understand content performance.

  • Strategic Ownership: You operate with a high degree of autonomy, capable of owning the end-to-end vision for complex and ambiguous cross-functional projects and translating broad business goals into concrete technical strategies. Prior experience building data products, metrics, or strategies from the ground up is a strong plus.

  • Technical Leadership & Mentorship: You pay attention to the details and make a conscious effort to understand causes instead of just the effects. You act as a force multiplier for the team, enjoying the process of mentoring others, conducting code/design reviews, and fostering a culture of technical excellence.

  • Influential Communication: Exceptional communication with technical and non-technical audiences; you can effectively influence senior stakeholders and explain complex technical concepts with clarity.

  • Analytical Rigor & Visual Storytelling: Combines grounded statistical methodology with visualization engineering to transform complex quantitative analysis into high-impact dashboards and custom data tools (e.g., Plotly Dash, Tableau, Looker) that drive business decisions.

  • Technical Proficiency: Delivers scalable data solutions by merging advanced SQL and Python proficiency with data engineering workflows, ensuring reliability through engineering best practices like CI/CD, testing, and version control.


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.

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.

HQ

Netflix Los Gatos, California, USA Office

100 Winchester Circle, Los Gatos, CA, United States

Netflix San Jose, California, USA Office

San Jose, United States, 0

Netflix Santa Clara, California, USA Office

Santa Clara, United States, 0

Similar Jobs

An Hour Ago
In-Office
Sunnyvale, CA, USA
182K-242K Annually
Senior level
182K-242K Annually
Senior level
Cloud • Information Technology • Machine Learning
Lead and grow a MetalDev RAS team responsible for the reliability, availability, and serviceability of CoreWeave's bare-metal infrastructure. Set technical direction, KPIs/SLOs, observability (Prometheus/Grafana), automation and CI/CD for server lifecycle, run incident management and RCA practices, and collaborate cross-functionally and with vendors to drive operational excellence and reduce on-call toil.
Top Skills: BmcCi/CdGoGrafanaKubernetes (K8S)PrometheusRedfish
An Hour Ago
In-Office
2 Locations
182K-242K Annually
Senior level
182K-242K Annually
Senior level
Cloud • Information Technology • Machine Learning
Design, build, and operate a scalable multi-tenant control plane for high-performance AI storage. Implement and optimize S3-compatible object storage and distributed filesystems, integrate dedicated storage clusters, improve reliability and observability, and collaborate with platform, compute, and operations teams to monitor and tune performance. Mentor engineers and contribute to scalable, durable storage architecture.
Top Skills: CCephClickhouseDaosGoGpu Direct StorageGrafanaInfinibandKubernetesNfsPrometheusRdmaRoceRustS3Spdk
An Hour Ago
In-Office
2 Locations
157K-210K Annually
Senior level
157K-210K Annually
Senior level
Cloud • Information Technology • Machine Learning
Design and build scalable data pipelines, models, and dashboards for supply chain KPIs. Partner with business stakeholders to enable forecasting, scenario planning, data governance, automation, and actionable reporting for leadership and projects.
Top Skills: AirflowAlationAtlanBigQueryCollibraDbtFivetranInformaticaLlm/Ai AgentsLookerOracle NetsuitePower BIPythonRedshiftSap EccSap S/4HanaSnowflakeSQLTableau

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account