Analytics Engineer Intern - Content Decision Sciences and Conversation Scaling, Summer 2026 job opportunity at Netflix Inc.

Netflix Inc Analytics Engineer Intern - Content Decision Sciences and Conversation Scaling, Summer 2026

Experience: General

Pattern: Onsite

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Engineering

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Bachelor's (B.Sc.)

Los Gatos,Cali..........United States Of America

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.Our mission to entertain the world is anchored in our content and conversation about our content, and data is a crucial component in shaping our comprehensive strategy. As we envision the future of Netflix, we're seeking an Analytics Engineer Intern to join our scaling team and multiply the impact of data practitioners across the organization. This role will leverage cutting-edge technology to build infrastructure, tools, and frameworks that enable analysts, data scientists, and business partners to access insights faster and more efficiently.The ideal candidate for this role will have a solid foundation in data technologies, an appreciation for simplifying complex systems, and a passion for building infrastructure that enables fellow data practitioners. You're excited about creating tools and systems that multiply impact across data teams, not just delivering individual analyses.Check out thisblog postto get a better feel for what it’s like to be an Analytics Engineer at Netflix.Who Are You?:Currently pursuing a Master’s or PhD degree in a related analytics field graduating in December 2026, Summer 2027 or later.To be intern-eligible, you must be returning to school for one semester or quarter post-Summer internship.Proficient in Big Data SQL (e.g., Spark, Trino) and pipeline orchestration (e.g., Airflow, Metaflow).Experienced in building reusable analytics infrastructure (data models, metric frameworks) and designing scalable self-service BI/visualization solutions (e.g., Tableau, Looker).A strong communicator who can develop, own, and deepen strong relationships with a wide variety of non-technical and technical stakeholders.Comfortable with ambiguity and able to thrive with minimal process.Analytically minded, bringing data solutions and business impact together while having autonomy in managing cross-functional projects.An individual who pays attention to the details and makes a conscious effort to understand causes instead of just the effects.An individual with a growth mindset who is impact-driven, and has a strong desire for growing a broad set of technical and non-technical skills.What will you learn?:You will build scalable tools, frameworks, and infrastructure that enable data practitioners across the organization to deliver insights more efficiently.You will develop reusable data pipelines, automated workflows, and self-service analytics solutions that reduce manual effort and accelerate decision-making.You will partner with data scientists, analysts, and business stakeholders to identify scaling opportunities and translate them into technical solutions that multiply impact across teams.You will contribute to the evolution of our analytics platform by prototyping new capabilities and testing innovative approaches to insight delivery.Internships at NetflixAt Netflix, we offer a personalized experience for interns, and our aim is to offer an experience that mimics what it is like to actually work here. We match qualified interns with projects and groups based on interests and skill sets, and fully embed interns within those groups for the summer. Netflix is a unique place to work and we live by our values, so it's worth learning more about ourculture.Internships are paid and are a minimum of 12 weeks, with a choice of a few fixed start dates in May or June 2026 to accommodate varying school calendars. Conditions permitting, our summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the team.At Netflix, we carefully consider a wide range of compensation factors to determine the Intern top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location.The overall market range for Netflix Internships is typically $40/hour - $110/hour.This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn morehere.We are an equal-opportunity employer and celebrate diversity, recognizing that diversity of thought and background 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.Inclusionis 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.

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Analytics Engineer Intern - Content Decision Sciences and Conversation Scaling, Summer 2026 job opportunity at Netflix Inc.

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