Manager, Analytics Menlo Park

Job Description: • 2-minute read •
We’re looking for analytics engineering leaders to work on our core products with a passion for social media to help drive informed business decisions for Facebook. You will enjoy working with one of the richest data sets in the world, cutting edge technology, and the ability to see your insights turned into real products on a regular basis.
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The perfect candidate will have a background in computer science or a related technical field, will have experience working with large data stores, and will have some experience building software. You are scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, progression, and user engagement of a product. This position is located in our Menlo Park office.
Responsibilities

Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our core products
Partner with Product and Engineering teams to solve problems and identify trends and opportunities
Inform, influence, support, and execute our product decisions
Build/maintain reports, dashboards, and metrics to monitor the performance of our products
Mine massive amounts of data and extract useful product insights
Manage development of data resources, gather requirements, organize sources, and support product launches
Requirements

3+ years of experience in managing other team members in a formal or informal capacity
4+ years of experience doing quantitative analysis, preferably for a social web company
2+ years of experience in an analytical role in a technology company, consulting, investment banking, or product management
2+ years of experience with SQL or other programming languages
Experience with large data sets and distributed computing (Hive/Hadoop) a plus
Ability to initiate and drive projects to completion with minimal guidance
Ability to communicate the results of analyses in a clear and effective manner
Basic understanding of statistical analysis, experience with packages, such as R, MATLAB, SPSS, SAS, Stata, etc. preferred
Bachelor Degree in Computer Science, Math, Physics, Engineering, or related quantitative field. Advanced degrees preferred, but not required

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