Manager, Revenue Analytics, Finance & Strategy - EMEA

Netflix • Los Gatos, CA

80d • $160,000 - $470,000

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. 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 our growth and 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. This role is based out of Netflix’s Los Gatos, California office, and is responsible for supporting the Europe, Middle East, and Africa (EMEA) region. The role reports to the EMEA Revenue Analytics Lead, based in Amsterdam, Netherlands, and collaborates closely with the global Revenue Analytics team in Los Gatos. Occasional travel to Netflix’s regional offices across Europe is expected.

Requirements

• 7+ years of experience in a quantitative role (e.g. business analytics, management consulting, banking, investment management, etc.)
• Bachelor's degree with an emphasis on coursework of a quantitative nature, such as Economics, Mathematics, Engineering, Statistics, or related fields
• Proficiency in MS Excel & SQL required
• Experience building quantitative models in Excel or other modeling tools
• Experience writing complex SQL queries to analyze large data sets
• Ability to independently extract, explore, and analyze big data from both internal and external sources to guide the analysis of complex issues
• Excellent verbal and written communication skills. Highly skilled in preparing effective presentations (Google Slides, MS PowerPoint) with a clear narrative and impactful visuals
• Team player with strong interpersonal skills and a proven ability to build successful relationships at all levels
• Possess a high level of intellectual curiosity, discipline, and flexibility

Nice To Haves

• Other coding and technical experience (e.g. VBA, Python, Tableau, etc.) is a plus, but not a prerequisite
• Experience and knowledge with various EMEA markets is preferred, but not required

Responsibilities

• Develop robust membership forecasts (acquisition, retention, and market penetration) across various EMEA markets leveraging bottom-up and top-down approaches.
• Work cross-functionally within the organization (Content, Partnerships, Ads, Payments, Product, Consumer Insights, Data Science, etc.) to integrate broad and complex business inputs into near term and long term membership forecast.
• Assess and communicate the impact of business decisions such as price changes, content launches, and product innovations to facilitate planning and operational decisions.
• Research, track and generate insights about the membership growth landscape.
• Lead and support strategic value-added analyses to understand the drivers behind membership and revenue growth in the EMEA markets.
• Contribute to in-region pricing decisions, compiling internal and external intelligence to inform price and plan strategy.
• Support efforts to centralize and standardize revenue performance reporting, helping identify cross-region best practices to enhance scalability and consistency in business analytics.

Benefits

• Health Plans
• Mental Health support
• 401(k) Retirement Plan with employer match
• Stock Option Program
• Disability Programs
• Health Savings and Flexible Spending Accounts
• Family-forming benefits
• Life and Serious Injury Benefits
• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Bachelor's degree
• Number of Employees: 5,001-10,000 employees