They’re looking for analytics leaders to work on their core products with a passion for social media to help drive informed business decisions for Facebook. You will enjoy working with data, cutting edge technology, and the ability to see your insights turned into real products on a regular basis. 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 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 the London office.
Responsibilities
- Apply your expertise in quantitative analysis 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
- Extract useful product insights from large data sets
- Manage the development of data resources, gather requirements, organize sources, and support product launches
- Recruit and develop teams of experienced data scientists
Minimum Qualification
- 3+ years of experience in managing other team members in a formal or informal capacity
- 4+ years of experience doing quantitative analysis
- 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
- Ability to initiate and drive projects to completion with minimal guidance
- Ability to communicate the results of the analysis
Preferred Qualification
- Bachelor’s Degree in Computer Science, Math, Physics, Engineering, or related quantitative field.
- Understanding of statistical analysis, experience with packages, such as R, MATLAB, SPSS, SAS, Stata, etc
- Experience with large data sets and distributed computing (Hive/Hadoop)
