Netflix is seeking to enhance fan and House employee experience by leveraging data products and insights to inform executive decision making and optimization processes for Netflix House locations.
Requirements
- Strong statistical knowledge: understanding of predictive modeling; experience in feature engineering, confounder identification and amelioration, etc.
- Advanced SQL skills, with experience working in complex data environments.
- Experience with scripting languages, particularly Python.
- Experience with data visualization platforms (e.g., Tableau, Looker, Plotly) is a plus
- Experience in retail, entertainment, or hospitality sectors is a plus.
- A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar), and 4+ years of experience in data science, analytics engineering, or a similar data field.
- Exceptional analytical and problem-solving skills with a keen attention to detail and desire to think outside the box and innovate
Responsibilities
- Be a strategic thought partner with business stakeholders to define high impact analytical problems and innovative ways to solve them with data.
- Develop systems to 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.
- Develop robust forecasting models to identify future trends, explaining attendance due to seasonality, location, price demand relationship, and other key influencing factors and enabling the business to make data-driven decisions and proactively adapt strategies based on actionable insights.
- Act as a trusted advisor to business leaders, directly informing decision-making and operational planning.
- Actively identify emerging business needs and develop analytical tools to translate outputs to actionable, recommendations for operations teams.
- Present findings and recommendations to stakeholders through clear, compelling story telling and presentations.
- Stay current with industry best practices and emerging analytics trends to continuously improve analytics capabilities.
Other
- Exceptional interpersonal and communication skills to influence stakeholders using clear insights and recommendations.
- Adept at cultivating strong partnerships.
- Exceptional thought partnership and engagement abilities with a diverse set of stakeholders and passionate about communicating difficult concepts to non-technical audiences.
- A degree in a quantitative field (e.g., mathematics, statistics, computer science, engineering, or similar), and 4+ years of experience in data science, analytics engineering, or a similar data field.
- Enthusiastic about Netflix culture.
