JobsAnalytics Engineer Intern - Content Decision Sciences and Conversation Scaling, Summer 2026
Analytics Engineer Intern - Content Decision Sciences and Conversation Scaling, Summer 2026
NetflixAnalytics Engineer Intern - Content Decision Sciences and Conversation Scaling, Summer 2026
NetflixLocation
Los Gatos, CA
Type
Internship
Posted
5/6/2026
Compensation
Not listed
Master's Internship
Approval 98.4%·Filings 128·New hires 57·
💎 Strong Sponsor
·FY 2025Job description
Netflix is seeking an Analytics Engineer Intern to join their scaling team, focusing on building infrastructure, tools, and frameworks that enhance data access for analysts and data scientists. The ideal candidate will have a strong foundation in data technologies and a passion for creating impactful systems that simplify complex processes.
Requirements
- Currently pursuing a Master’s or PhD degree in a related analytics field graduating in December 2026, Summer 2027 or later.
- 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.
Responsibilities
- Build scalable tools, frameworks, and infrastructure that enable data practitioners across the organization to deliver insights more efficiently.
- Develop reusable data pipelines, automated workflows, and self-service analytics solutions that reduce manual effort and accelerate decision-making.
- Partner with data scientists, analysts, and business stakeholders to identify scaling opportunities and translate them into technical solutions that multiply impact across teams.
- Contribute to the evolution of our analytics platform by prototyping new capabilities and testing innovative approaches to insight delivery.
Benefits
- Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.
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