Analytics Engineering Intern

Job Description

Netflix is a global leader in entertainment, serving over 300 million paid memberships across 190+ countries. Members enjoy an unparalleled variety of TV series, films, and games, with the flexibility to play, pause, and resume watching anytime, anywhere. This dynamic environment is powered by cutting-edge technology and a deep reliance on data to drive innovation and maintain a superior user experience.

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### The Role: Analytics Engineering Intern

As an Analytics Engineering Intern, you will be fully integrated into teams that are crucial for scaling the Netflix application platform to its massive and diverse device ecosystem. These teams leverage innovation and data to enhance user experience, ensure operational efficiency, and maintain high-quality standards across all Netflix services.

You will play a pivotal role in transforming raw data into actionable insights, focusing on areas such as:
• Ensuring high-quality standards for product features.
• Measuring product feature reliability.
• Assessing the health of the vast device ecosystem.
• Enhancing engineering operational efficiency.

This role demands strong cross-functional partnerships, as you will collaborate closely with software engineers and product managers. Your work will involve enabling robust data collection, improving metric fidelity, and developing sophisticated technical data products and intelligence systems that directly impact Netflix’s global operations.

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### Who We’re Looking For

You are a curious, collaborative, resourceful, and highly motivated student eager to learn from a team of seasoned engineers. You possess a genuine passion for problem-solving and are comfortable tackling complex, open-ended challenges by applying data-driven solutions.

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### Essential Qualifications (Must-Haves)

To be considered for this internship, candidates must demonstrate the following core qualifications:

• Academic Enrollment: Currently enrolled in a full-time accredited academic program (M.S., or Ph.D.) in Computer Science, Engineering, Data Science, or a related technical field.
• Graduation Timeline: Graduating in December 2026, Summer 2027, or later.
• Internship Eligibility: Must be returning to school for one semester or quarter post-Summer internship.
• Data Analysis Experience: Hands-on keyboard experience with practical data analysis projects.
• Data Science Tech Stack Proficiency: High proficiency in the standard data science tech stack, including libraries and tools for data manipulation, statistical analysis, and scripting.
• Distributed Systems Expertise: Experience leveraging distributed systems (e.g., Apache Spark, Hadoop, or cloud-native data warehousing solutions) for processing large-scale datasets.
• SQL Proficiency: Strong proficiency in SQL for querying, manipulating, and extracting data from various databases and data warehouses.
• Programming Skills: Experienced in Python or Java for scripting, data processing, and ETL pipeline development.
• Data Modeling: Hands-on experience building intuitive schemas and data models for datasets, ensuring data is structured, organized, and optimized for analytical querying and reporting.
• Communication & Collaboration: Excellent communication and collaboration skills, vital for working effectively within cross-functional teams and presenting insights.

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### Desirable Skills (Nice-to-Haves)

While not strictly required, candidates possessing the following skills will stand out:

• Statistical Inference & Machine Learning: Experience leveraging statistical inference and machine learning models to present actionable insights and drive data-backed recommendations.
• Data Visualization Tools: Working knowledge of data visualization tools such as Tableau, Plotly, Matplotlib, Looker, or Power BI.
• Stakeholder Communication: Ability to convey complex data insights to stakeholders of varying technical backgrounds, translating technical findings into business-relevant narratives.
• Positive Attitude: A positive attitude that embraces opportunities to give and receive candid feedback, aligning with Netflix’s culture of continuous improvement.
• Ambiguity Tolerance: A tendency to perceive ambiguity as an opportunity to explore possibilities and innovate.
• Specific Interest: Excitement about security or other complex problem domains.

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### Your Internship Responsibilities

As an Analytics Engineering Intern, you will have the unique opportunity to take ownership of an end-to-end analytics project or tool. Your responsibilities will typically include:

• Data Pipeline Development: Designing, building, and maintaining robust data pipelines to collect, process, and analyze large and complex data sets from diverse sources, ensuring timely, accurate, and scalable data availability.
• Data Modeling & Productization: Defining foundational data models and working towards the productization of final analytical tools, transforming raw data into meaningful, accessible, and production-ready analytical assets.
• Data Analysis & Anomaly Detection: Analyzing request patterns, identifying new signals, performing anomaly detection, and recommending adjustments based on quantified impact to proactively monitor system health and performance.
• Data Visualization & Dashboards: Creating insightful data visualizations and dashboards using tools like Tableau to help stakeholders easily understand and act upon data, empowering them with self-service analytics.
• Collaborative Design: Collaborating closely with engineers during the development process to gather feedback and iterate on design improvements for data products.
• Insight Communication: Communicating key insights and developing dashboards to cascade them to a wide range of stakeholders across the organization, ensuring insights are widely understood and acted upon.

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### The Summer Internship Experience at Netflix

At Netflix, we provide a highly personalized and immersive internship experience, designed to mirror the actual work environment. We carefully match qualified interns with projects and teams based on their interests and skill sets, fully embedding them within their respective groups for the summer.

• Duration: Internships are typically 12 weeks long.
• Location: Conditions permitting, our summer internships will be located in our Los Gatos, CA office, or in our Los Angeles, CA office, depending on the specific team.
• Culture: Netflix is renowned for its unique culture, and we live by our core values. We strongly encourage prospective interns to review our culture memo to understand what it’s truly like to work here.

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### Inclusion & Diversity

Inclusion is a fundamental Netflix value, and we are committed to hosting a meaningful interview experience for all candidates. If you require an accommodation or adjustment for a disability or any other reason during the hiring process, please reach out to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diverse perspectives build stronger teams. We approach diversity and inclusion seriously and thoughtfully, without discrimination 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.

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This job posting will remain open for no less than 7 days and will be removed once the position is filled.