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6 months ago
Location: London
Job type: Permanent
Sector: Marketing Agency
Category: Analysis Jobs
Marketplace Analyst, Publisher Yield Analytics

(London, United Kingdom)

Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.

Facebook’s Audience Network Publisher Solutions team helps publishers monetize their mobile apps content on and mobile websites off Facebook through access to over 35 million global Facebook advertisers. Audience Network uses and by using powerful people-based marketing to make it easy for publishers to show their audience better, more relevant ads while driving the best results for advertisers.

The Audience Network Publisher Solutions Yield Optimization Analytics team is an analytics group focused on optimizing yield for the publishers on Audience Network and off Facebook while ensuring that our advertisers see effective and valuable delivery on the Audience Network. In service of this goal, the team works with publishing and advertising clients to optimize their performance, conducts research into the Audience Network Facebook publisher marketplace, and provides data and insights to guide overall product and business strategy.

The Yield Optimization analysts will be a hands-on role focusing on understanding the Audience Network's Facebook complex publisher ecosystem, modeling the interaction between supply and demand, and informing tactical and strategic decisions. Work will be cross functional in nature.

The ideal candidate will have a solid foundation in analytics, research and statistics, strong communication skills, and experience with ad tech. Applicants should have a strong quantitative background, experience analyzing large data-sets, and experience in marketplace analytics in online advertising, marketplaces and analytics.

This position is full time and located in our offices in London. Some amount of travel (domestic and international) will be expected in the role.

Competitive Salary including the following benefits :

Medical Benefits
Dental Benefits
Vision Benefits
Pension Benefits
Life Assurance
Childcare Benefits
Gym Benefits
Transport benefits
Laundry Benefit
Posted: 9th March 2018
Closing date: 7th April 2018


Lead analyses to improve technical and quantitative understanding of the Audience Network Publisher solutions marketplace.

Make recommendations and help guide product and business decisions based on marketplace analyses and an understanding of network dynamics and long-term strategy

Work cross functionally with product, product marketing, and sales on optimization opportunities and insights.

Minimum Qualifications

3+ years of quantitative or statistical analysis experience required, 4+ years preferred.

Bachelor's degree in an analytical field (such as Computer Science, Engineering, Mathematics, Statistics, or Economics, or Finance).

Demonstrated problem solving ability with experience providing practical business insights from large, complex data sets

Experience with data manipulation (e.g., Hive and/or SQL) data visualization (e.g. Tableau), statistical analysis (R or Python), with the ability to code (e.g., PHP) a plus.

Ability to manage multiple concurrent projects and drive initiatives in a cross-functional environment

Strong communication and cross functional collaboration skills required.

Passion for and background in consumer internet and social media

Preferred Qualifications

Master's degree in an analytical field (such as Computer Science, Engineering, Mathematics, Statistics, or Economics, or Finance).

Ability to code (e.g. PHP)

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