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Facebook Product Experience Analytics Manager in London, United Kingdom


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 Product Experience Analytics Team is a global team responsible for advancing Facebook's advertising business by identifying opportunities that improve the quality and stability of our business products. With deep product expertise and understanding of the product health and points of friction during the customer experience, the Product Experience Analytics Team partners with Product and Engineering teams to ensure we launch high quality and reliable products to the market. They reinforce that expertise by becoming fluent in the data around Facebook ads and use their product experience expertise to help us make better decisions about ad products and the how whole ads ecosystem is functioning for customers.

We’re looking for analytics leaders to work on our business products with a passion for social media to help drive informed 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 product changes on a regular basis. Successful candidates for this role will demonstrate desire to continue to build and shape the brand of a team with analytical and operational responsibilities through their own individual contributions, as well as through people management. You are scrappy, focused on results, a self-starter, and have demonstrated success in using analytics to drive the understanding, progression, and quality of a product. Demonstrated success in developing/managing team and people- coaching/mentoring.

This is a full-time position and is located in London, United Kingdom.

Competitive Salary including the following benefits apply:

-Medical Benefits

-Dental Benefits

-Vision Benefits

-Pension Benefits

-Life Assurance


-Childcare Benefits

-Gym Benefits

-Transport benefits

-Laundry Benefit

Opening Date: Friday 8th February 2019

Closing Date: Friday 8th March 2019

Required Skills:

  1. Apply your expertise in quantitative analysis, and the presentation of data to see beyond the numbers, incorporate qualitative insights, and understand how our customers interact with our core products.

  2. Partner with Product and Engineering teams to solve problems and identify trends and opportunities

  3. Inform, influence, support, and execute our product decisions.

  4. Build/maintain reports, dashboards, and metrics to monitor the performance of our products and understand the customer experience.

  5. Partner with people across the larger Product Experience Analytics team and company to improve existing methodologies and tools.

  6. Manage and mentor team members through day-to-day needs and help them apply their strengths.

Minimum Qualifications:

  1. 1+ years of experience in managing other team members in a formal or informal capacity.

  2. 3+ years of experience doing quantitative analysis.

  3. 3+ years of experience in an analytical role in a technology company, consulting, investment banking, or product management.

  4. 2+ years of experience with SQL or other programming languages.

  5. Ability to initiate and drive projects to completion with minimal guidance.

  6. Interpersonal skills with demonstrated ability to influence outcomes and communicate technical content to general audiences.

  7. Ability to communicate the results of analyses.

Preferred Qualifications:

  1. Understanding of statistical analysis, experience with packages, such as R, MATLAB, SPSS, SAS, Stata, etc.

  2. Experience with large data sets and distributed computing (Hive/Hadoop).

  3. Bachelor Degree in Computer Science, Math, Physics, Engineering, or related quantitative field. Advanced degrees.

  4. Experience in a social web company

Industry: Internet