Facebook Measurement Partner, London in London, United Kingdom
Facebook's mission is to give people the power to share, and make the world more open and connected. Through our growing family of apps and services, we're building a different kind of company that helps billions of people around the world connect and share what matters most to them. 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 make the world more open and accessible. Connecting the world takes every one of us—and we're just getting started.
The Marketing Science team is charged with driving measurement, demonstrating the ROI/value of the platform, developing best practices and informing product development. The Measurement Partner will work with internal and external stakeholders to advise clients and the industry on measurement strategy and work with them on an ongoing basis to adopt better measurement to improve business performance.
Facebook is seeking a highly quantitative measurement professional with both direct response/performance marketing and brand marketing experience to drive the Facebook measurement across telco & media, retail etc. We're looking for people with a both strong DR and brand marketing consulting expertise. Along with critical thinking skills to successfully influence how clients and agencies conduct and use measurement.
This involves going deep with clients, working with them in designing tests and research to help understand and improve the effectiveness of their advertising across digital platforms and offline media. Conclusions from this work will showcase what good measurement is and how a client can act to drive business impact.
The ideal candidate will be passionate about Facebook and online advertising, intellectually curious, a fast learner and able to move fast while keeping focused on high impact projects. They should demonstrate a strong understanding of the media landscape and ability to apply quantitative techniques to understand consumer behavior and advertising effectiveness through innovative analytics, methodologies and products across a number of verticals. This position is full time and is located in London, UK.
Work closely with the with UK Client Measurement team and the wider EMEA Marketing Science team to produce and manage analyses and research that will prove the value of Facebook’s advertising business.
Partner with Facebook sales team to drive deep, strategic relationships with Facebook clients and agencies through identity based measurement and ‘learning agendas’ that highlight how a client can improve business outcomes by employing better measurement techniques.
Manage a complex set of client relationships across industry and client groups, functions, brands, agencies, to drive our client’s measurement objectives.
Influence a client to change the way that they measure and optimize the effectiveness of their media.
Provide feedback to and collaborate with Product, R&D, and Partnerships to identify opportunities for new features, products and partnerships and drive client engagement around measurement innovation, including products alphas and beta.
8+yrs experience in Brand/DR/performance marketing with an analytical background.
Bachelor’s degree or equivalent in statistics, economics, behavioral or social science or a related quantitative degree preferred.
A solid understanding of the advertising industry (especially online) and measurement methods/technologies most commonly used including attribution modeling.
Excellent understanding of online media, social platforms, related APIs and ad products.
Strong interpersonal client-facing experience, including experience driving change through adoption of new products or research methods to non-technical audiences.
Direct experience of analyzing and manipulating data sets to understand patterns and provide client insights.
Previous experience working with large data sets, statistical software such as R, MATLAB, SPSS, SAS, STATA and hive and /or SQL an advantage.