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9 months ago
Location: London
Job type: Permanent
Category: Advertising Sales Jobs
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 good measurement, demonstrating the ROI/value of the platform, developing best practices and informing product development.

Facebook is seeking a highly quantitative measurement professional, with marketing analytics experience to drive the Facebook measurement strategy with our largest Global Advertisers. We're looking for individuals with strong research and critical thinking skills, as well as familiarity with large data sets and data tools. Experience of working with both DR and brand advertiser’s necessary. To successfully influence how client’s conduct and use measurement, the candidate will need to be able to work cross-functionally with advertisers, sales teams, and other members of the Marketing Science team.

To accomplish this, the person in this role will drive industry adoption of Facebook preferred measurement methods and products and design and execute empirical research for individual clients and at the industry-level. Driving good measurement with clients will require designing tests and doing research to help clients understand and improve the effectiveness of their advertising across digital platforms and across media.

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 quantitative techniques to understand consumer behavior and advertising effectiveness through innovative analytics, methodologies and products.

The role is based in our London Office.


Work closely with the Global Accounts Marketing Science team to produce and manage analyses and research that will prove the value of Facebook’s advertising business.

Drive DR/brand clients to measure true business value by operationalizing a “learning agenda” that highlights how a client can improve business outcomes by employing better measurement techniques.

Play a strategic role in developing the cross-platform and cross-media measurement approaches and learning agendas for our global advertisers.

Play a key part in strategizing and developing processes to help scale out our global accounts.

Drive client, vertical, and industry adoption of learning & preferred measurement methodologies, products, and approaches.

Conduct in-depth standard and custom ad effectiveness studies/meta-analysis for Facebook global advertisers to understand the relative impact of different marketing strategies across digital platforms and across media.

Communicate complex research results to a general audience.

Provide feedback to and collaborate with Product, R&D, and Partnerships teams to identify opportunities for new features, products, and partnerships and drive client engagement around measurement innovation, including product alphas and beta.


Bachelor’s degree in an analytical field such as Computer Science, Engineering, Mathematics, Statistics, Economics, Finance, or similar.

5+yrs experience in Digital media, specifically dealing with data, analytics and measurement.

A solid understanding of the advertising industry (especially online) and measurement methods/technologies most commonly used including attribution modelling.

Direct experience independently scoping and executing a research project from start to finish.

Able to analyze data to provide client insights.

Client-facing experience, including experience driving change through adoption of new products or research methods to non-technical audiences.

Track record of operating independently, being detail-oriented, and delivering results.

Experience working with structured and unstructured data-sets, statistical software such as R, MATLAB, SPSS, SAS, STATA, and Hive and/or SQL.


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: 12.11.18

Closing date: 10.12.18

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