Manager, FS&A, Ads Revenue & Yield Analytics (Inventory and Revenue Analytics) - EMEA in London

Manager, FS&A, Ads Revenue & Yield Analytics (Inventory and Revenue Analytics) - EMEA in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Netflix, Inc.

At a Glance

  • Tasks: Drive revenue growth through innovative inventory monetization strategies in the Ads sector.
  • Company: Join Netflix, a leader in entertainment with a commitment to customer experience.
  • Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on diversity and inclusion.
  • Why this job: Be part of a dynamic team shaping the future of advertising at Netflix.
  • Qualifications: 7+ years in Inventory Management or Advertising Strategy; strong data skills required.

The predicted salary is between 80000 - 100000 £ per year.

We have ambitious plans, an enormous scale of opportunity and the passion to be the best in customer experience - which now includes a new ad‑supported plan at a more affordable price point for customers. Within the broader Finance, Strategy & Analysis (FS&A) organization, we’re building out a new team, Ads Revenue & Yield Analytics, who will help steward and support our Ads go‑to‑market strategy. In this role, you will support the Ads business in the EMEA region, inclusive of Sales & Account Management, with specialization in Inventory Management and Revenue Analytics. In tandem, you will have the opportunity to learn and grow quickly in this space, working closely with a global, cross‑functional team across FS&A, Data Science & Engineering, Partnerships, Consumer insights, Marketing & Content to help build a cohesive understanding and unified approach to advertising at Netflix.

Responsibilities will include:

  • Develop an inventory monetization strategy across Netflix Ads product to drive revenue growth and improve yield.
  • Manage inventory availability across targeted media, sponsorship executions and custom programs.
  • Partner with Pricing and Yield to optimize go‑to‑market initiatives against inventory composition, pricing strategies and ad serving logic.
  • Collaborate with Microsoft & Account Management to oversee effective inventory utilization throughout the pitch‑to‑pay process.
  • Work cross‑functionally to define inventory guidelines for campaign executions across transaction models and currencies.
  • Work with Product and Data Science & Engineering to assess delivery scenarios across the Ad Product catalog to increase serving efficiency.
  • Work with Business Operations to assess transactional buying trends against marketplace conditions to quantify impacts across the Sales portfolio.
  • Collaborate with MSFT to establish a sustainable and reliable data model throughout the Ad Tech stack to ensure consistent and accurate outputs.
  • Work cross‑functionally to build a reporting suite to track performance, elevate data‑driven insights and advise real‑time business decisions.
  • Prepare clear and concise presentations for Sales leaders and Ads stakeholders.
  • Support Sales, FS&A and Business Operations to assess Ad Tech stack / platform investments and to evaluate the impact on growth opportunities.

What we’re looking for:

  • 7+ years of Inventory Management and/or Advertising Strategy experience.
  • Strong modeling skills and comfort with manipulating large datasets in Excel, Google Sheets, Tableau, and other data visualization tools.
  • A strong attention to detail and eye towards using the 80/20 rule to address problems.
  • Candidates must be motivated, disciplined, flexible, able to work autonomously, and perform tasks with a wide range of difficulties.
  • Very strong project management, planning and organizational skills, including the ability to handle multiple projects simultaneously and to deliver under tight timelines.
  • Excellent communication and interpersonal skills, with proven ability to build successful relationships and partners at all levels.
  • The ability to communicate ad serving logic with varying degrees of detail depending on the forum. You know your audience and what they’re looking for.
  • Expertise in programmatic advertising, auction dynamics, ad tech.
  • Familiarity with the streaming ecosystem is a plus (though not required).

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, ethnicity, religion, color, place of birth, sex, gender identity or expression, sexual orientation, age, marital status, military service status, or disability status.

Manager, FS&A, Ads Revenue & Yield Analytics (Inventory and Revenue Analytics) - EMEA in London employer: Netflix, Inc.

At Netflix, we pride ourselves on fostering a dynamic and inclusive work culture that empowers employees to thrive. As a member of the Ads Revenue & Yield Analytics team in the EMEA region, you will have access to unparalleled growth opportunities while collaborating with a global network of talented professionals. Our commitment to innovation and excellence ensures that you will be part of a forward-thinking organisation dedicated to redefining customer experience in the advertising space.

Netflix, Inc.

Contact Details:

Netflix, Inc. Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Manager, FS&A, Ads Revenue & Yield Analytics (Inventory and Revenue Analytics) - EMEA in London

Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Netflix, Inc.!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Manager, FS&A, Ads Revenue & Yield Analytics (Inventory and Revenue Analytics) - EMEA in London

Inventory Management
Advertising Strategy
Data Analysis
Excel
Google Sheets
Tableau
Data Visualization

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Netflix, Inc., tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Netflix, Inc.

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Netflix, Inc.’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.