Netflix Associate Revenue Analytics - EMEA 

Netherlands, North Holland, Amsterdam 

929163959

Responsibilities

• Support strategic value-added analyses to understand the drivers behind membership and revenue growth in the EMEA markets, derive actionable insights and feedback to collaborative cross-function stakeholders (Content, Partnerships, Ads, Payments, Product, Consumer Insights, Data Science etc.)

• Assess and communicate the impact of business decisions such as price changes, content launches, and product innovations to facilitate planning and operational decisions

• Analyze and evaluate the business impact of key external events such as competitor moves or country-specific events

• Research, track and generate insights about the membership growth landscape

• Be a key contributor to in-region pricing decisions, compiling internal and external intelligence to inform price and plan strategy

• Collect cross-functional inputs to inform and support the revenue and membership forecasts (acquisition, retention, and market penetration)

• Support efforts to centralize and standardize revenue performance reporting, helping identify cross-region best practices to enhance scalability and consistency in business analytics

Qualifications

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.

• 3+ years of experience in a quantitative role (e.g. business analytics, management consulting, banking, investment management, etc.)

• Bachelor’s degree with an emphasis on quantitative coursework

• 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

  • Other coding and technical experience (e.g. VBA, Python, Tableau, etc.) 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 (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

• Experience and knowledge with various EMEA markets is preferred, but not required