Associate, Revenue Analytics

3 weeks ago

Singapore Netflix Full time
Netflix is one of the world's leading entertainment services, with 283 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.

The Revenue Analytics team provides the company with insights into what drives our past and current revenue and membership trends as well as an outlook on future growth. Internally, our analytical insights help inform growth/monetization strategy. Our revenue and membership forecasts are critical components that feed into the corporate planning process for spending and resource allocation across content, commerce, and technology.

Netflix is looking for the best and brightest candidates to use data and business insights to inform and drive key strategic decisions. We believe that we derive a significant competitive advantage from the highly analytical approach we take to managing the company. Senior management relies heavily on the Revenue Analytics team to develop a data-driven perspective on the company's growth, and the outcomes of our analyses play a critical role in how we plan for and execute on the company's business objectives.

Responsibilities

  • Support strategic value-added analyses to understand the drivers behind growth in the Asia-Pacific markets
  • Work cross-functionally within the organization (content, payments, product, consumer insights, etc.) to:
    • Report business impact of key events to derive actionable insights and feedback to collaborative stakeholders
    • Assess and communicate the impact of business decisions such as pricing, content, product, etc. to facilitate planning and operational decisions
  • Be a key contributor to in-region pricing decisions, compiling internal and external intelligence to inform price and plan strategy
  • Compile cross-functional inputs to support the revenue and membership forecasts
  • A successful candidate should have the ability to combine comprehensive data analytics with sound business intuition and judgment, and effectively communicate analytical insights to stakeholders. Given the questions asked of our team are often urgent in nature and have an immediate impact on how the business makes decisions, the individual coming into this role must be able to deliver accurate results promptly. They must thrive in a fast-paced environment, possess a high level of intellectual curiosity, focus on generating results, and exhibit the highest personal and professional standards of integrity and ethics.
Qualifications

  • 5+ years in a quantitative role (e.g. business analytics, management consulting, banking, investment management, etc.)
  • Proficiency in SQL & MS Excel
    • Experience building quantitative models in Excel or other modeling tools
    • VBA, Python, or any other coding experience is a plus, but not a prerequisite
  • Ability to independently extract, explore, and analyze big data from both internal and external sources to guide the analysis of complex issues
  • Possess a high level of intellectual curiosity, discipline, and flexibility
  • Excellent verbal and written communication skills. Highly skilled in preparing effective presentations (MS PowerPoint, Google Slides) with a clear narrative and impactful visuals
  • Team player with strong interpersonal skills and a proven ability to build successful relationships at all levels, but also able to work independently with minimal supervision
  • Bachelor’s degree with an emphasis on quantitative coursework
  • Experience and knowledge of the Asia-Pacific markets are preferred, but not required
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity 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.

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