Facebook Marketing Science Partner, France in Paris, France
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.
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 marketing experience to drive Facebook measurement across different verticals. We're looking for people with strong marketing (Brand and DR) 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 Paris, France.
Work closely with the with France Client Measurement team and the wider Southern Europe and 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 optimise 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.
5+yrs experience in marketing with an analytical background.
Bachelor’s degree or equivalent required, currently pursuing an advanced degree 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.