Analytics Engineer (L4) - Experiences

Netflix, Inc.•Los Angeles, CA

39d•$170,000 - $720,000

About The Position

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 Experiences team puts fans at the center of their favorite stories, in real life, through permanent entertainment venues, Netflix House, and touring attractions around the world. Netflix Houses are our permanent, always-on, constantly refreshable entertainment venues, where guests can step into their favorite stories. We want these experiences, along with merchandise offerings, to help promote love for our titles so they become part of the zeitgeist for longer periods of time and drive long-term value for Netflix. As the Analytics Engineer on the Experiences team, you will leverage analytical expertise to create dashboards, develop insightful reports, build advanced analytical models, and uncover trends for Netflix House locations (visitation, attendance, Fan behavior, and satisfaction). Your work will directly inform executive decision-making as well as optimization and re-forecasting processes in order to enhance fan and House employee experience.

Requirements

A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar), and 4+ years of experience in data engineering, data science, analytics engineering, or a similar data field.
Advanced SQL skills, with experience working in complex data environments.
Experience with scripting languages, particularly Python..
Strong experience with Google Suite (Sheets, Slides, Data Studio/Looker Studio) for reporting and visualization.
Experience with data visualization platforms (e.g., Tableau, Looker, Plotly) and a strong ability to communicate data-driven stories.
Exceptional analytical and problem-solving skills with a keen attention to detail
Excellent communication and presentation skills, with the ability to translate complex data into actionable insights for non-technical stakeholders

Nice To Haves

Experience with guest or customer satisfaction analytics, forecasting, and operational optimization is highly desirable
Experience in retail, entertainment, or hospitality sectors is a plus
Strong desire to think outside the box and innovate

Responsibilities

Develop, maintain, and enhance dashboards and reports to monitor key performance indicators (KPIs) related to visitation, attendance, fan satisfaction, and employee engagement
Analyze trends in Fan behavior, including time spent, arrival and departure patterns, interactions with different Netflix IPs and spaces, and preferences for retail and F&B offerings
Build a tracking system to continuously monitor marketing performance against established revenue and sales targets.
Translate complex data by identifying and sharing actionable insights derived from other operational and financial modeling work across the organization.
Collaborate with cross-functional teams to set and optimize Netflix House operating hours based on data-driven insights
Build and refine forecasting models to support re-forecasting and strategic planning across operations and marketing
Conduct deep-dive analyses to provide actionable recommendations for optimizing products, offerings, and Fan experiences
Support the identification and tracking of KPIs that answer key business questions and inform future initiatives
Present findings and recommendations to stakeholders through clear, compelling visualizations and presentations
Stay current with industry best practices and emerging analytics trends to continuously improve analytics capabilities
Promote and foster a mindset of continuous innovation for internal teams and external partners

Benefits

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.

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