Manager Auction & Delivery Facebook Menlo Park

Job Description: • 2-minute read •
The massive scale and heavy engagement of the people using our products make the Facebook platform an ideal place for marketers to build their brands. It also makes the platform an ideal place to conduct analyses and research to learn how to improve marketing in the new mobile world. The successful candidate will manage a team of up to five analysts focused on investigating and understanding the current best practices for advertising on Facebook as well as inventing new strategies. The team is both theoretical and practical as we work with product engineers and with our top tier advertisers to build our understanding and to test ideas.

The ideal candidate for this data science focused position will be passionate about Facebook and Instagram and have worked in either Marketing or Advertising. Have a proven track record of analyzing and deriving insights from data. They would be intellectually curious, a great communicator, data-driven, a fast learner and able to move fast while keeping focused on high impact projects. Applicants should have a strong quantitative understanding, a strong data a talent for taking complex concepts and distilling them into clear accessible learnings.

This role is full-time and located at our Menlo Park, CA headquarters.
Responsibilities

Apply analytical skills to complex quantitative problems, presenting actionable insights to key stakeholders
Work closely with our Sales team & advertisers to derive deeper insights into delivery and scaling performance
Develop deep understanding of the Auction, analyze current performance by targeting and objectives
Identify levers for improving overall results across Facebook's ads auction
Drive learning's on campaign optimization for large brand buyers
Present polished findings and recommendations directly to advertisers and Sales teams
Recommend product or positioning changes based on robust analysis of user and advertiser behavior
Minimum Qualifications

Bachelor's degree in an analytical field (such as Computer Science, Engineering, Mathematics, Statistics, Physics, Economics, or Finance)
3+ years of relevant management experience
3+ years of relevant analytics experience
Experience driving action based on data-driven insights
Experience communicating technical concepts to non-technical audiences
Experience working with and influencing in a cross functional relationship
Experience operating independently, being detail-oriented, and delivering results in an organized manner
Experience with SQL and development experience in a scripting language such as Python
Preferred Qualifications

Experience with experimental design and understanding of statistical data analysis (e.g. regression, probability)
Basic understanding of statistical analysis, experience with packages such as R, MATLAB, SPSS, SAS, Stata, etc.

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