Data Analytics Specialist, Risk and Response (Core Ops)

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 Risk & Response team seeks to identify and prioritize emerging external risks, lead investigations probing our systems to evaluate these risks, deliver action-oriented assessments to benefit our partners and users, and conduct post-mortem investigations to provide critical insights to our internal cross-functional stakeholders. We are seeking a Data Analytics Specialist with a passion for data and the underlying systems that produce them to help Risk & Response build, grow, and manage its data centric approach to surfacing, understanding, and mitigating risk. Successful candidates will excel at building and troubleshooting systems to produce high quality data & insights, coach and mentor teammates in analytical problem solving, and create scalable frameworks to help mitigate risk to Facebook.


  • Develop, build, and maintain reports that provide holistic monitoring of operational performance and ownership of data architecture
  • Build early warning systems to aid in detection of problem trends, root cause analysis and help develop long range solutions
  • Work closely with Operations, Product, and Policy to proactively create and manage systems
  • Mine massive amounts of data and extract impactful insights that influence the strategy for Risk & Response
  • Liaise with Ops, Engineering, Data Science and Policy teams to provide solutions to technical problems and emerging challenges using a well thought, methodical, data-driven approach and prioritization
  • Mentor teammates to cultivate analytical skills in the broader team
  • Address sensitive content issues, including but not limited to graphic images, videos and writings, offensive or derogatory language, and other objectionable material
  • BA/BS degree in an analytical field (Mathematics, Physics, Statistics, Computer Science, Engineering, Operations Research Economics, etc.) or equivalent practical experience
  • 4+ years of experience working with data sets and experience with relational databases
  • Experience working with SQL, SAS, R and Python
  • Experience communicating results of technical analyses with non-technical partners and leadership teams to influence the strategy of those teams
  • Experience breaking down processes and identifying key pain points in order to deliver business improvements at the regional or global level
  • Critical thinking and problem-solving experience
  • Experience utilizing both qualitative analysis (e.g. content analysis, hypothesis testing) and quantitative analysis techniques (e.g. cluster analysis, descriptive and inferential statistics)
  • Self-starting, intellectually curious and creative individual comfortable operating in ambiguity - able to lead complex project with minimal guidance

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