Analytics Engineer - Pricing and Forecasting

Job Description

Analytics Engineer (L4/5) - Pricing and Forecasting

Senior Analytics Engineer - Pricing and Forecasting (2024)

Netflix captivates audiences worldwide, serving more than 260 million members across 190 countries and generating an annual revenue exceeding $35 billion. Our commitment to reinvestment fuels the delivery of joy through a diverse range of entertainment, including TV shows, movies, games, live content, and more. We are dedicated to continually assessing the value we provide, fostering enduring connections with our customers. It's pivotal that we set the right prices that harmonize both consumer preferences and business objectives, and develop a deep understanding of our future trajectory to guide significant strategic decisions.

As a key player in the Data Science and Engineering team within Growth and Monetization, we collaborate closely with stakeholders from Product, Engineering, Finance, Content, Data Science, and central/regional leadership teams. This role involves delivering valuable insights and quantitative findings from data, shaping the overall pricing strategy, contributing to long-term planning, as well as influencing various tactical decisions. We invite a Senior Analytics Engineer to join us and contribute to shaping the next phase of our journey.

If you are curious, please visit our culture deck and our research page to learn about what it's like to work on Analytics at Netflix.

This is the role for you if –
• You have a deep passion for leveraging data to shape significant business decisions.
• You possess a proactive, self-starting attitude, comfortable navigating through ambiguity, and adept at addressing loosely defined problems by making informed trade-offs.
• Your curiosity drives you to explore data and uncover insights, and you excel at translating those insights into actionable strategies.
• As a skilled communicator, you can effectively convey complex data concepts to diverse audiences at varying levels of abstraction.
• Thriving in a fast-paced environment, you demonstrate the ability to work efficiently, seamlessly transitioning between tasks such as building datasets, conducting ad hoc analyses, and creating dashboards.
• Your strength lies in collaboration, as you can effectively influence cross-functional teams through thoughtful partnership.
• Being a lifelong learner, you have the capability to acquire the necessary skills to tackle new challenges.

Experiences you have
• Considerable proficiency in utilizing SQL, data wrangling (using tools like Python, R, Spark), and the ability to construct ad hoc datasets.
• Significant expertise in data visualization (employing platforms like Tableau, Shiny), including the creation of ad hoc visualizations and dashboards.
• Fluency in a programming language (e.g., Python), robust programming skills, and familiarity with version control systems (such as Github, Stash) are advantageous.
• Demonstrated strong analytical skills.
• Desirable domain knowledge in finance or consumer pricing.

What you will do
• Proactively conduct exploratory data analysis to uncover fresh insights that contribute to executive decision-making.
• Collaborate with data engineers and fellow analytics engineers to create data pipelines for impactful reporting and analysis.
• Create tooling and dashboards to enhance self-service capabilities and facilitate access to pricing insights.
• Engage closely with cross-functional stakeholders in finance, product, engineering, and data science to inform critical strategic decisions.
• Collaborate closely with cross-functional product squads on innovative initiatives.
Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $170,000 - $720,000.

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. See more detail about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

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.

Jobcode: Reference SBJ-gm0yxm-13-58-77-98-42 in your application.